Modulating human sense of agency with non-invasive brain stimulation

Modulating human sense of agency with non-invasive brain stimulation

Accepted Manuscript Modulating human sense of agency with non-invasive brain stimulation Nima Khalighinejad, Patrick Haggard PII: S0010-9452(15)00139...

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Accepted Manuscript Modulating human sense of agency with non-invasive brain stimulation Nima Khalighinejad, Patrick Haggard PII:

S0010-9452(15)00139-2

DOI:

10.1016/j.cortex.2015.04.015

Reference:

CORTEX 1456

To appear in:

Cortex

Received Date: 22 January 2015 Revised Date:

10 April 2015

Accepted Date: 18 April 2015

Please cite this article as: Khalighinejad N, Haggard P, Modulating human sense of agency with noninvasive brain stimulation, CORTEX (2015), doi: 10.1016/j.cortex.2015.04.015. This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.

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Modulating human sense of agency with non-invasive brain stimulation

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Nima Khalighinejad, Patrick Haggard

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Institute of Cognitive Neuroscience, University College London, London WC1N 3AR, UK

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Correspondence should be addressed to Nima Khalighinejad, Institute of Cognitive Neuroscience,

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University College London, Alexandra House, 17 Queen Square, London WC1N 3AR, UK. Tel: +44

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(0)20 7679 5434, E-mail: [email protected]

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Running title: Human sense of agency

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ACCEPTED MANUSCRIPT Abstract

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Human voluntary actions are accompanied by a distinctive subjective experience termed “sense of

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agency”. We performed three experiments using transcranial direct current stimulation (tDCS) to

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modulate brain circuits involved in control of action, while measuring stimulation-induced changes in

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one implicit measure of sense of agency, namely the perceived temporal relationship between a

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voluntary action and tone triggered by the action. Participants perceived such tones as shifted towards

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the action that caused them, relative to baseline conditions with tones but no actions. Actions that

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caused tones were perceived as shifted towards the tone, relative to baseline actions without tones.

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This ‘intentional binding’ was diminished by anodal stimulation of the left parietal cortex (targeting

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the angular gyrus (AG)), and, to a lesser extent, by stimulation targeting the left dorsolateral

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prefrontal cortex (DLPFC), (Experiment 1). Cathodal AG stimulation had no effect (Experiment 2).

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Experiment 3 replicated the effect of left anodal AG stimulation for actions made with either the left

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or the right hand, and showed no effect of right anodal AG stimulation. The angular gyrus has been

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identified as a key area for explicit agency judgements in previous neuroimaging and lesion studies.

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Our study provides new causal evidence that the left angular gyrus plays a key role in the perceptual

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experience of agency.

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Keywords: sense of agency; angular gyrus; dorsolateral prefrontal cortex; intentional binding; tDCS

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ACCEPTED MANUSCRIPT 1. Introduction

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Healthy human adults have the feeling that they are able to control their own actions, and, through

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them, external events. This is referred to as the sense of agency. Sense of agency is central to

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individual goal-directed action, and also to social responsibility and punishment (Frith, 2014; Moretto,

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Walsh, & Haggard, 2011). Moreover, many neurological and psychiatric disorders involve

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abnormalities of agency (de Jong, 2011; Fletcher & Frith, 2009; Kranick & Hallett, 2013).

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Despite extensive theoretical work on agency, its neural correlates are not fully understood.

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Neuroimaging studies found activation of AG (Farrer et al., 2003; Farrer & Frith, 2002; Farrer et al.,

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2008) and DLPFC (Fink et al., 1999) associated with agency tasks, but the activation of these areas

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was always greater in the conflicting, non-agency condition than in the agency condition. In a recent

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meta-analysis of sense of agency, the single most consistent result was activation of a broadly-defined

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temporoparietal junction area conditions associated with reduced or absent sense of agency (Sperduti,

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Delaveau, Fossati, & Nadel, 2011). This broad ‘non-agency’ area includes AG. Computational

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models of predictive motor control offer an important theoretical framework for understanding

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agency. An internal forward model uses efference copies of the motor command to predict outcomes

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(Wolpert & Ghahramani, 2000). According to these models, sense of agency arises when there is a

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match between the predicted and actual sensory outcome of the generated action. Conversely, if

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current sensory information does not match the model’s prediction, then the corresponding sensory

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event cannot be self-generated, and no sense of agency is experienced (Frith, Blakemore, & Wolpert,

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2000).

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Farrer et al., (2008) used this framework to interpret fMRI activations of AG in particular, suggesting

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that AG processes discrepancies between intended action and its actual consequences. Her data

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showed increased activations of AG when a detectable temporal discrepancy was inserted between an

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action and visual feedback of the outcome, and also when participants explicitly rejected agency over

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the viewed outcome.

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ACCEPTED MANUSCRIPT Most of these studies used explicit agency attribution tasks, in which participants judge whether they

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did or did not cause a specific sensory event. Synofzik, Vosgerau, & Newen, (2008) noted that one

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feels a sense of agency when acting, even without making any explicit judgements. One suitable

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measure of this pre-reflective, sensorimotor feeling of agency is the perceived temporal relationship

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between a voluntary action and its sensory outcome (Moore & Obhi, 2012). The perceived time of

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voluntary actions and their sensory consequences are attracted towards each other. This ‘intentional

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binding’ is absent, or less prominent, for involuntary movements, and for associations between

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external events not involving voluntary actions (Cravo, Claessens, & Baldo, 2009).

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The neural bases of such feelings of agency are poorly understood. One neuroimaging study found a

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neural correlate of intentional binding in the medial frontal cortex (Kühn, Brass, & Haggard, 2013). A

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‘virtual lesion’ study showed that theta-burst stimulation over a slightly more anterior medial frontal

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location reduced the intentional binding effect (Moore, Ruge, Wenke, Rothwell, & Haggard, 2010).

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On the other hand, other lesion (Sirigu et al., 2004) and stimulation (Desmurget et al., 2009) studies

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suggested an important role of parietal cortex in intentional action and agency, though these studies

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did not use binding. To our knowledge, no previous causal study has investigated the influence of

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both frontal and parietal areas on sense of agency using implicit measures. We therefore performed

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three transcranial direct current stimulation (tDCS) experiments, to modulate excitability of key brain

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circuits underlying the control of action, while measuring the effects on sense of agency, using

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intentional binding. Our experiments investigated the respective contributions of parietal and frontal

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areas to intentional binding as a proxy measure of agency (Experiment 1), their susceptibility to both

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up- and down-regulation (Experiment 2), and their hemispheric specialisation (Experiment 3).

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Based on the existing neuroimaging data investigating explicit agency judgement (Farrer et al., 2003;

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Farrer & Frith, 2002; Farrer et al., 2008), we predicted that anodal stimulation of putative AG should

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also influence the sense of agency, as measured by intentional binding. Importantly, such a result

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would identify a causal role for AG in sense of agency, but would not conclusively identify how AG

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computes agency. We also investigated the role of prefrontal areas in sense of agency. Studies of

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frontal contributions to sense of agency are more equivocal. Neurostimulation (Moore et al., 2010)

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and neuroimaging (Kühn et al., 2013) studies of intentional binding found evidence for medial

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prefrontal involvement, but studies of explicit agency judgements in tasks requiring a choice between

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alternative actions (Chambon, Wenke, Fleming, Prinz, & Haggard, 2013) identified a more lateral prefrontal focus. DLPFC has also been identified as a key area for initiation (Jahanshahi et al., 1995)

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and monitoring of voluntary action (Rowe, Hughes, & Nimmo-Smith, 2010). Given the relative

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inaccessibility of medial prefrontal cortex to neurostimulation, we focussed here on the lateral

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prefrontal cortex. The stimulations targeted primarily the left hemisphere, and participants made

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actions with their right hand (experiments 1,2), or with either hand (experiment 3).

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2. Materials and Methods

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2.1. Participants

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In total 55 healthy volunteers, 18-35 years of age (25 females) were recruited from the Institute of

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Cognitive Neuroscience subject data pool for three separate experiments. All participants were right

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handed, had normal or corrected to normal vision, had no history or family history of seizure, epilepsy

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or any neurologic or psychiatric disorder and did not have any metallic or electronic object in the

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head. Participants affirmed that they had not participated in any other brain stimulation experiment in

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the last 48 hours, nor had consumed alcohol in the last 24 hours. The sample for Experiment 1

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consisted of 18 participants (8 females), Experiment 2 consisted of 19 participants (10 females) and

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Experiment 3 consisted of 18 participants (7 females). One participant failed to finish Experiment 2

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due to lack of concentration, and was therefore excluded. Experimental design and procedure were

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approved by the UCL research ethics committee, and followed the principles of the Declaration of

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Helsinki. Transcranial stimulation followed established safety procedures (Nitsche et al., 2003;

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Poreisz, Boros, Antal, & Paulus, 2007). Participants were paid a minimum amount for participating in

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each session of the experiment. Participants were paid a small additional bonus at the end of the last

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session.

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2.2. Behavioural task

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ACCEPTED MANUSCRIPT We used intentional binding paradigm as an implicit measure of agency (Fig. 1). The task was based

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on previous studies (Haggard, Clark, & Kalogeras, 2002), and was programmed in LabVIEW 2012

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(Austin, Texas). Participants viewed a clock hand rotating on a computer screen which was located

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60cm in front of the participants in a quiet room. The initial clock position was random. Clock

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rotation was initiated by participants pressing the return key on a keyboard. Each full rotation lasted

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2560ms. Participants were instructed to look at the centre of the clock. They made voluntary actions,

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when instructed, by pressing the return key with their right index finger (Experiments 1, 2), or by

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pressing F9 or F4 with their right or left index finger, respectively (Experiment 3). Participants chose

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for themselves when to make these voluntary actions. After each key press, the clock hand stopped at

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a random location, participants made a time judgement according to condition (see later). Each

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experimental session consisted of four types of trials, presented in separate blocked and randomised

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conditions. At the beginning of each block, brief instructions for the relevant condition were displayed

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on the screen. In the baseline action condition, participants had to press the key at a time of their own

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free choice. The clock hand stopped after 1500-2500ms (at random), and participants then judged the

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clock hand position at the time of their key press, entering their response on the keyboard. In this

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condition, the participant’s actions produced no sensory outcome. In the baseline tone condition,

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participants were instructed to look at the clock but not to press any key. While the clock was rotating,

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a pure tone (1000Hz, 100ms duration) was played over a loudspeaker, 1750-4000ms (at random) after

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the onset of the trial. Participants were then asked to judge the clock hand position at the time of the

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tone. In the operant action condition, participants pressed a key at a time of their own choosing, and

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each keypress produced a tone after 250ms. Participants judged the clock hand position at the moment

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of pressing the key. Finally, the operant tone condition was similar to the operant action condition,

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with the difference that participants had to judge the clock hand position at the time of the tone. Each

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condition was tested in a separate block of 30 trials. The order of the blocks was randomised and there

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was a 1 minute break between each block.

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This common basic design was slightly changed according to the demands of each specific

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experiment. In Experiment 3, text below and above the clock instructed participants to reply with

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ACCEPTED MANUSCRIPT either their left or right index fingers. The order of hands was randomised in each block. The block

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length was increased by 40 trials to allow sufficient trials for analysis of each hand’s data.

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Before each experiment, participants were trained and familiarised with the task. They were reminded

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to look at the centre of the clock, to avoid following the clock hand with their eyes, to be spontaneous

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in their key presses and to be as precise as possible in their judgements, in particular not confining

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themselves to those numbers 5,10,15… marked on the clock face. Each experimental session

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consisted of four blocks and took approximately 20 minutes. The short duration of each individual

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session was planned to coincide with the known effective period of tDCS.

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2.3. tDCS

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Direct current stimulation was delivered by StarStim noninvasive wireless neurostimulator

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(Neuroelectrics, Barcelona, Spain). Circular rubber electrodes (25cm2) were covered in saline-soaked

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sponges, installed in a 27 channel neoprene cap, and connected to a wireless current generator. tDCS

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was then controlled by Neuroelectrics Instrument Controller (NIC v1.2) through a separate computer.

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Current strength was set at 1mA in all experiments, generating a current density of 0.04mA/cm2 at the

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scalp surface. For each experiment, all participants underwent three separate sessions of tDCS, two

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effective stimulations and one sham session. The order of the sessions was randomised and

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counterbalanced across participants. There was a minimum of 48 hours (and a maximum of 1 week)

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between each stimulation session to minimise any potential carry over effects of tDCS (Nitsche et al.,

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2008). The duration of stimulation in each session was set at 25 minutes, including 30s to ramp-up

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and down the stimulating current. For the sham condition, electrical current was only applied during

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the first and last 30 seconds of the stimulation, so as to induce the same cutaneous sensation as real

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stimulation, and thus blind the participants as to stimulation condition. During the first 5min of each

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stimulation, participants were asked to relax on their seats and close their eyes. This delay was

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designed to allow potential neuro-modulatory effects to build up (Zwissler et al., 2014). Next,

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participants began the behavioural task while stimulation continued (Fig. 2). All participants finished

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the behavioural task approximately after 20min, the same time as the end of stimulation. In case

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participants finished the task prior to the end of stimulation they were asked to remain seated until the

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ACCEPTED MANUSCRIPT end of the stimulation. In case the task outlasted the stimulation, they continued to perform the task

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without further stimulation. The task period never exceeded the stimulation period by more than 2

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minutes.

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Fig. 2 shows tDCS montages of the three experiments. In Experiment 1, the anodal electrode was

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placed on the left DLPFC (F3 according to the 10/20 international EEG electrode placement) or

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putative left AG (position P3) (Okamoto et al., 2004; Spitoni et al., 2013) in separate sessions. During

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the sham session, the position of the stimulating electrode was counterbalanced between F3 and P3. In

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all three sessions, the return electrode (cathodal) was placed on the right supraorbital area. For

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Experiment 2, anode and cathode were placed on the putative left AG in separate sessions while the

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return electrode was placed on the right supraorbital area. This arrangement was retained during the

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sham session. Experiment 3 used a biparietal montage (Cohen Kadosh, Soskic, Iuculano, Kanai, &

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Walsh, 2010; Hecht, Walsh, & Lavidor, 2010). For anodal stimulation of the putative left AG, the

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anode was placed over P3 and cathode was placed over P4. This arrangement was reversed for anodal

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stimulation of the putative right AG. For sham stimulation, the anode was pseudorandomly placed

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either at P3 or P4. After each session participants were asked as part of debriefing if they had

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experienced any notable effects of stimulation. No effects were reported other than mild tingling

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sensations localised to the electrodes.

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2.4. Data analysis

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The difference between the judged clock hand position and the actual onset of the corresponding

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event was calculated, giving a judgement error for each trial. A perceptual delay was represented by a

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positive judgement error, and an anticipation by a negative judgement error. The mean and standard

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deviation of the judgement errors across trials were then measured for each condition. Action binding

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was defined as the shift of action toward its outcome, and was calculated by subtracting each

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participant’s mean judgement error in the baseline action from that in the operant action condition.

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Likewise, tone binding was defined as a shift in the perceived time of a tone towards the action that

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caused it. Tone binding was calculated by subtracting each participant’s mean judgement error in

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ACCEPTED MANUSCRIPT baseline tone condition from that in the operant tone condition. Thus, perceptual association of an

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action with a subsequent tone produced a positive value for action binding, and a negative value for

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tone binding. We analysed action and tone binding separately, since there is evidence from both

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cognitive studies (Wolpe, Haggard, Siebner, & Rowe, 2013), and previous neurostimulation studies

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(Moore et al., 2010), that they are driven by distinct mechanisms.

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Some participants were excluded because of highly variable time judgement. A standard deviation of

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judgement error across trials of over 250ms in any condition was used as a marker of poor time

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perception. As in previous intentional binding experiments (Haggard, Aschersleben, Gehrke, & Prinz,

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2002), these participants were excluded. On this basis, two participants were excluded from

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Experiment 1, two from Experiment 2, and four from Experiment 3. Importantly, these exclusion

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criteria are orthogonal to the mean judgement errors used for statistical inference.

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In Experiments 1 and 2, inferential statistics were based on one-way repeated measures ANOVA,

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with paired-sample t-tests for follow-up testing. Because our ANOVA had only 3 levels, Bonferroni

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correction was not required for follow-up testing after a significant result (Cardinal & Aitken, 2013;

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Meier, 2006). Additionally, in Experiment 1, we used linear discriminant analysis to determine which

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percepts were most strongly affected by stimulation condition. Experiment 3 used repeated measures

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ANOVA, with the additional factor of acting hand (right hand responses vs. left hand responses). A

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final pooled analysis was performed to compare effects of stimulation common to all conditions.

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3. Results

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3.1. Experiment 1: frontal vs parietal anodal stimulation

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This experiment compared the effects of frontal (targeting left DLPFC) and parietal (targeting left

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AG) cortex stimulation on intentional binding for actions and tones. One-way repeated measures-

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ANOVA with the factor of stimulation type (anodal frontal vs. anodal parietal vs. sham) showed that

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action binding was not significantly affected by the type of stimulation (F(2, 30)=1.90, p=0.17,

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η2=0.11). However, an identical ANOVA on tone binding showed significant differences (F(2,

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30)=4.30, p=0.02, η2=0.22). Follow-up testing showed that tone binding was significantly reduced by

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ACCEPTED MANUSCRIPT anodal stimulation of the putative left AG compared to sham (t(15)=2.67, p=0.02, d=0.43). Anodal

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stimulation of the left DLPFC showed a clear trend to reduce tone binding, which approached the

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border of conventional significance (t(15)=2.07, p=0.06, d=0.42). There was no significant difference

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between the frontal and parietal stimulation (t(15)=-0.10, p=0.92, d=0.02) (Fig. 3; see also

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supplementary table A.1-6).

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We additionally performed the same analysis using median rather than mean judgement error in each

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condition (see supplementary table B.1-3), since median measures are more robust than means to the

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influence of outliers. The patterns of statistical significance were unchanged.

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Finally, to confirm that anodal stimulation of putative AG affected primarily the operant tone

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condition and not the baseline tone, the effect of stimulation type on participants’ judgement error in

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baseline tone conditions was assessed using repeated-measure one-way ANOVA. There was no

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significant main effect of stimulation type on baseline tone condition (F(2, 30)=0.58, p=0.56,

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η2=0.04). This suggests that stimulation influenced a neurocognitive process that is present primarily

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in the operant condition.

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We additionally applied multivariate linear discriminant analysis (Krzanowski, 2000) to identify the

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linear combination of action binding and tone binding variables that optimally discriminates the

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different stimulation conditions. Linear discriminant analysis significantly differentiated the three

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stimulation conditions (Wilks' Lambda=0.59, approx. F(4,58)=4.36, p<0.01). Inspection of canonical

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coefficients showed that this difference was primarily due to tone binding (standardized canonical

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coefficient 1.86) rather than action binding (-0.93) (The scores of the individual participants on the

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first discriminant variate are shown in supplementary Fig. A.1). Post-hoc comparisons between

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conditions showed a highly significant difference between parietal and sham stimulation (p<0.01;

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standardised coefficients -1.03 for action binding, 2.19 for tone binding), and also a significant

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difference between frontal and sham stimulation (p=0.04; standardised coefficients -0.82 for action

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binding, 1.55 for tone binding). Interestingly, the frontal effect thus involved a slightly larger action

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binding coefficient, considered relative to the tone binding coefficient, than did the parietal effect,

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ACCEPTED MANUSCRIPT though no inferential statistics can be applied to this ratio. Frontal and parietal stimulation did not

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differ significantly (p=0.74).

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3.2. Experiment 2: anodal vs cathodal parietal stimulation

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If anodal stimulation boosts activity in the left AG then cathodal stimulation of the same area should

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lead to its suppression. Thus, if anodal stimulation decreases intentional binding, cathodal stimulation

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should increase it. To test this hypothesis, putative left AG was exposed to anodal, cathodal or sham

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stimulation in different sessions, and effects on intentional binding were evaluated.

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One-way repeated measures-ANOVA with the factor of stimulation type (anodal parietal vs. cathodal

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parietal vs. sham) was used for analysis. Action binding was not significantly affected by the type of

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stimulation (F(2, 30)=0.50, p=0.61, η2=0.03). Tone binding was also unaffected by type of stimulation

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(F(2, 30)=0.45, p=0.64, η2=0.03), contrary to our predictions from Experiment 1. Nevertheless, the

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numerical effect of anodal stimulation of the putative left AG was in the same direction as Experiment

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1, namely a decreased tone binding compared to sham and cathodal stimulation (Fig. 4; see also

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supplementary table A.7-12).

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We additionally performed the same analysis using median rather than mean judgement error in each

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condition (see supplementary table B.4-6). The patterns of statistical significance were unchanged.

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3.3. Experiment 3: left vs right parietal stimulation

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Experiment 3 aimed to replicate the effects of Experiment 1, and additionally investigated the

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lateralisation of intentional binding using a biparietal montage. The biparietal montage may provide a

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higher local current density, because of the relatively short path between anode and cathode. In

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addition, this montage controls for any possible effect of cathodal stimulation of prefrontal areas that

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may occur with the conventional supraorbital placement of the cathode. Therefore, putative left and

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right AG were exposed to anodal stimulation in separate sessions, and a third session involved sham

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stimulation. We also investigated whether the putative AG involvement in intentional binding is hand-

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specific or hemisphere-specific, by asking participants to make actions with either the left or right

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ACCEPTED MANUSCRIPT hand, choosing randomly on each trial. Analysis of action binding showed no significant main effect

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of stimulation type (F(2, 26)=0.06, p=0.94, η2=0.01) or acting hand F(1, 13)=0.10, p=0.76, η2=0.01)

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and no significant interaction (F(2, 26)=0.89, p=0.42, η2=0.06). Analysis of tone binding showed a

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highly significant main effect of stimulation (F(2, 26)=5.93, p<0.01, η2=0.31). Follow-up testing

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showed that anodal stimulation of the putative left AG significantly decreased tone binding relative to

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both sham stimulation (t(13)=2.55, p=0.02, d=0.40), and relative to anodal stimulation of the putative

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right AG (t(13)=2.90, p=0.01, d=0.56). No significant difference was observed between anodal

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stimulation of the putative right AG and sham (t(13)=-0.75, p=0.47, d=0.10) (Fig. 5; see also

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supplementary table A.13-18). Acting hand had no significant main effect on tone binding (F(1,

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13)=0.01, p=0.94, η2<0.01) and no interaction was observed between the stimulation and acting hand

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(F(2, 26)=0.15, p=0.86, η2=0.01).

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We additionally performed the same analysis using median rather than mean judgement error in each

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condition (see supplementary table B.7-9). The patterns of statistical significance were unchanged.

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To check whether the decrease in tone binding was primarily due to shifts in the operant tone, or in

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the baseline tone condition, participants’ judgement errors in the baseline tone condition were

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compared across the stimulation groups. Analysis showed no significant main effect of stimulation

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type on baseline tone condition (F(2, 26)=0.50, p=0.60, η2=0.04).

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3.4. Pooled data: anodal parietal vs sham stimulation

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Anodal stimulation of the putative left AG was common to all three experiments reported here, as was

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a sham stimulation condition, although the experiments differed in other respects. Therefore, we

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pooled the data in these specific conditions across the 46 participants (21 female) from the three

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experiments, in a single analysis. We found that anodal stimulation of putative left AG significantly

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reduced the perceptual shift of tone toward action compared to sham (t(45)= 3.28, p<0.01, d=0.35),

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but had no effect on action binding (t(45)=-1.37, p=0.18, d=0.22).

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The anodal montage in the third session used a different return (cathode) location compared to the

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first and second experiments. Our decision to pool data of the three studies was based on the common

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ACCEPTED MANUSCRIPT placement of the anode across these three experiments, and the general observation that cathodal

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effects on cognitive function are rare (Jacobson, Koslowsky, & Lavidor, 2012). In that case,

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differences in cathode location may be relatively unimportant, and need not prevent pooling across

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studies. However, because we cannot entirely exclude some contribution of cathodal location to our

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main results, we ran a further pooled analysis using the left anodal stimulation conditions of

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experiments 1 and 2 only, which share a supraorbital cathode location, but excluding experiment 3.

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This analysis again found that anodal stimulation of putative left AG significantly reduced the

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perceptual shift of tone toward action compared to sham (t(31)= 2.45, p=0.02, d=0.35), but had no

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effect on action binding (t(31)=-1.48, p=0.15, d=0.32).

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To investigate the generality of the anodal AG effect across experiments, we performed a mixed

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ANOVA with a between-subject factor of experiments (1, 2 or 3), and a repeated-measures factor of

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stimulation type (anodal left AG vs. sham). The main effect of stimulation type (F(1, 43)=10.7,

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p<0.01, η2=0.20) recapitulating the pooled t-test reported above. There was no significant main effect

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of experiment (F(2, 43)=0.80, p=0.45, η2=0.04). Importantly, there was no hint of interaction between

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experiment and stimulation (F(2,43)=0.96, p=0.39, η2=0.04).

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Our main inferences above are based on comparing experimental stimulation with sham. We therefore

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additionally investigated whether sham stimulation had different effects in the three experiments. We

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found no significant difference among the sham conditions for the 3 experiments for action binding

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(F(2,43)=2.20, p=0.12), or tone binding (F(2,43)=1.10, p=0.33).

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4. Discussion

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4.1. Stimulation-induced modulation of the left parietal cortex

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We performed a series of three tDCS experiments to investigate the neural circuits responsible for the

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sense of agency, as measured by the perceptual association between the time of a voluntary action and

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the time of a resulting auditory tone. We found a significant decrease in the binding of outcomes

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towards actions after anodal stimulation of the putative left AG (Experiment 1). Anodal stimulation of

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the left DLPFC also decreased action and tone binding compared to sham. DLPFC affected tone

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ACCEPTED MANUSCRIPT binding as much as AG stimulation, but its effects were less consistent across participants.

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Nevertheless, our discriminant analysis showed a significant effect of DLPFC stimulation compared

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to sham, when action and tone binding were considered together.

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Our tDCS stimulation of putative AG could have widespread effects across the inferior parietal cortex

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(IPC), since tDCS has quite low spatial specificity. For example, anterior parts of the IPC may also be

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affected. IPC is routinely activated in neuroimaging studies when participants judge whether their

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own action, or some other cause, is responsible for a specific sensory event. In a study by Farrer and

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Frith (2002), the IPC area was more active when participants attributed a visual event to another

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person, rather than to themselves. Similarly, a PET study (Farrer et al., 2003) observed that neural

340

activity in IPC increased with the level of discrepancy between the executed and the observed action

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on the screen. In an fMRI study (Farrer et al., 2008), the subjective feeling of loss of control

342

correlated with BOLD response in the AG, as did the awareness of temporal discrepancy between

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action and feedback. The authors of those studies suggested that AG houses the comparison between

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the efference copy of the intended action and the actual sensory outcome. Any mismatch between

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these signals will then give rise to the explicit awareness of non-agency, or an external source of

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action.

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Our overall results are consistent with this view. We found that anodal stimulation of the putative AG

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decreases intentional binding, our proxy measure for agency. Anodal stimulation is generally thought

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to increase the activity of the cortical region immediately under the electrode. However, AG

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activation is routinely associated with lack of agency, rather than with experience of positive agency

351

(Farrer & Frith, 2002; Farrer et al., 2008; Sperduti et al., 2011). Therefore, excitation of a neural

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substrate of non-agency might be expected to decrease intentional binding. The conventional polarity-

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specific (anode-boosting, cathode-suppressing) framework of tDCS was developed on the basis of

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effects in primary motor cortex stimulation (Nitsche & Paulus, 2000). Its applicability to non-primary

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areas and cognitive processing has recently been questioned (Horvath, Forte, & Carter, 2014).

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Nevertheless, our findings are broadly compatible with the conventional polarity-specific view.

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ACCEPTED MANUSCRIPT 4.2. Stimulation-induced modulation of the left frontal cortex

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Since DLPFC is normally thought to facilitate intentional action, one may question why prefrontal

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anodal tDCS did not increase intentional binding. Rowe et al., (2010) questioned whether DLPFC

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played any important role in initiation of simple voluntary actions, such as those tested here, and

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suggested a role in monitoring sequential action patterns instead. Fink et al., (1999) observed

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activation of DLPFC using PET when an intentional action and its sensory outcome were

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incompatible. Anodal tDCS over DLPFC might correspond to an increased coding for action-outcome

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conflict, even though our task did not explicitly manipulate action-outcome compatibility. Our

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discriminant analysis found some evidence consistent with this interpretation. However, this effect

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was investigated in only one experiment, and achieved statistical significance in multivariate analysis,

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but not in univariate analyses of action binding and tone binding separately. Therefore, further

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research is required before a strong statement about frontal tDCS effects on sense of agency can be

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made.

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4.3. Polarity-specific effects of tDCS

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Experiment 2 aimed to investigate whether parietal stimulation effects were polarity-specific. On one

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model, tDCS would simply add neural noise, irrespective of polarity. On another model, anodal

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stimulation would upregulate putative non-agency coding in AG, while cathodal stimulation should

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down-regulate it. The result of anodal left AG stimulation in experiment 2 followed the expected

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trend for tone binding, but did not reach statistical significance. Replication of statistically significant

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results is an important and controversial issue in modern neuroscience (Cumming, 2005). All effects

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measured in experiments represent a combination of the underlying ‘true’ effect, and noise.

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Importantly, when a nonzero true effect indeed exists, but is modest in size, it is quite likely for the

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effect to reach statistically significant levels in one study, but not in another. Thus, absence of a

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significant anodal tDCS effect in experiment 2 does not prove that no true effect exists: we return to

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this point later.

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ACCEPTED MANUSCRIPT Experiment 2 found no significant difference between cathodal and sham stimulation, although we

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had predicted that cathodal stimulation might enhance intentional binding. Although inhibitory

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cathodal effects on motor function are well established, a recent review of 34 studies found that

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cathodal inhibitory effects on cognitive function are rare (Jacobson, Koslowsky, et al., 2012). Another

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possible reason for the absence of any significant cathodal AG effect in Experiment 2 could be the

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placement of the anode electrode on the supraorbital area. This location is standard for tDCS studies

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of action (Nitsche et al., 2008). However, it causes a strong current density close to the frontopolar

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and prefrontal areas, where the anode is located. These areas may also contribute to intentional action

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(Brass & Haggard, 2007). Thus, our montage for cathodal stimulation of AG in experiment 2 involved

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anodal stimulation at a frontopolar site, which may not be strictly neutral for sense of agency. Future

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studies could address this issue by using extracephalic cathode placement.

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4.4. Hemispheric specialisation of the sense of agency

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Experiment 3 avoided the potential confound of frontopolar stimulation using a biparietal montage.

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This produces a higher current density in a small region surrounding the electrodes (Cohen Kadosh et

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al., 2010; Nathan, Sinha, Gordon, Lesser, & Thakor, 1993), compared to the conventional supra-

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orbital location. This might result in a more focal stimulation. More importantly, the biparietal

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montage excludes the possibility that the significant effects of anodal AG stimulation in experiments

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1 and 2 were in fact caused by cathodal frontopolar stimulation. Specifically, if the effects in

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experiments 1 and 2 were merely due to cathodal frontopolar stimulation, then no effect of stimulation

401

should be found in experiment 3. The biparietal montage also allowed us to investigate lateralisation

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of agency by varying both tDCS polarity and the hand used for action. Similar approaches have been

403

used previously in other studies (Bardi, Kanai, Mapelli, & Walsh, 2013; Jacobson, Goren, Lavidor, &

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Levy, 2012).

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The results of the third experiment replicated our previous findings. Anodal stimulation of putative

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left AG significantly decreased tone binding compared to both sham and cathodal stimulation of the

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ACCEPTED MANUSCRIPT same area. The tDCS effect was statistically equivalent whether the action was made with the left or

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the right hand. No effects were observed with anodal stimulation of the putative right AG.

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Experiment 3 does not support the alternative interpretation of experiments 1 and 2 based on a

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putative cathodal frontopolar stimulation. In contrast, experiment 3 supports the interpretation of an

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anodal left AG effect. We cannot conclusively rule out some contribution of frontopolar stimulation to

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our results, but we can rule in a specific contribution of the left AG.

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Experiment 3 adds several important elements to the previous studies. First, it demonstrates an

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involvement of AG in a task involving randomised, stimulus-driven selection between alternative

415

actions, as opposed to mere repetition of a simple action. Second, it suggests that left, but not right

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AG is responsible for action-outcome binding for actions made by either hand. We found no

417

interaction between stimulation and hand used for action. Previous neuroimaging studies have

418

reported activation corresponding to non-agency judgements in both left and right AG. Interestingly,

419

right AG activations appeared to dominate (Farrer et al., 2003; Farrer & Frith, 2002; Farrer et al.,

420

2008), in contrast to our finding. However, in a more recent fMRI study, Lee & Reeve, (2013)

421

reported higher activity in the left AG during non-self-determined behaviour, consistent with our

422

hypothesis in Experiment 1 that anodal AG stimulation activates a neural code for ‘non-agency’.

423

Finally, hemispheric specialisation of agency could plausibly depend on the task used, and the type of

424

agency judgement. Previous neuroimaging studies generally used explicit judgements of agency, and

425

often used complex manual actions with visual feedback (Farrer & Frith, 2002; Farrer et al., 2008;

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Sperduti et al., 2011). We are not aware of any neuroimaging study investigating the hemispheric

427

lateralisation of low-level implicit measures of agency.

428

4.5. Limitations

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The results of experiment 3 by themselves could not distinguish between an effect of anodal

430

stimulation of the putative left AG from an effect of cathodal stimulation of the putative right AG.

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However, this result does allow us to exclude a model in which tDCS simply acts to increase neural

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noise, irrespective of polarity. Moreover, our experiment 1 found some evidence of a left-hemisphere

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ACCEPTED MANUSCRIPT anodal tDCS effect, while our experiment 2 found no evidence of any cathodal effect (though in the

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left hemisphere, rather than the right). Cathodal stimulation effects in cognitive tasks are reported to

435

be weak (Jacobson, Koslowsky, et al., 2012). Therefore, we provisionally favour an interpretation of

436

experiment 3 based on a left parietal anodal effect, rather than a right-hemisphere cathodal effect.

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Further research would be required to draw a definitive conclusion.

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Our study is further limited because we did not control for cases of crossmodal binding in the absence

439

of active movement. Therefore, we cannot exclude the possibility that AG stimulation influenced

440

some general feature of time perception, as opposed to temporal processing specific to agency.

441

However, several studies have shown stronger binding between voluntary actions and outcomes than

442

between other, similarly paired, events, including involuntary movements and outcomes (Engbert,

443

Wohlschläger, Thomas, & Haggard, 2007; Haggard et al., 2002) or pairs of sensory stimuli (Haggard,

444

Aschersleben, Gehrke, & Prinz, 2002; Haggard, Martin, Taylor-Clarke, Jeannerod, & Franck, 2003).

445

Moreover, other studies have investigated effects of parietal tDCS on time perception in general, in

446

the absence of action: and these studies found no effect (Woods et al., 2014). Thus, the weight of

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other studies suggests that the intentional binding phenomenon reflects a distortion of perceptual

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timing that is, at least partly, specific to voluntary action.

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4.6. Dissociation between action binding and tone binding

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Anodal stimulation over putative left AG was a common condition in all 3 experiments. Accordingly,

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we could perform a pooled analysis of intentional binding results to compare this to the sham

453

stimulations that were also included in each experiment. This analysis showed a highly significant

454

reduction in tone binding with anodal stimulation of the putative left AG. We found no overall effect

455

on action binding. Dissociations between action binding and tone binding have been reported

456

previously (Wolpe et al., 2013), so it is possible that left parietal cortex is concerned primarily with

457

tone binding, rather than with action binding. This conclusion would be consistent with previous

458

studies suggesting that the AG processes mismatches in action outcomes (Farrer et al., 2008). On the

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other hand, recent studies of explicit agency judgement suggest that AG also processes prospective,

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ACCEPTED MANUSCRIPT premotor information arising during action selection (Chambon, Moore, & Haggard, 2014; Chambon

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et al., 2013).

462

Both online prospective and retrospective processes contribute to the intentional binding phenomenon

463

(Moore and Haggard, 2008). The experimental design used here cannot identify the independent

464

contribution of each process. However, binding of action towards outcome may rely more on

465

prospective processes during action selection, while perceptual shift of outcome toward action may

466

depend on retrospective, more inferential processes, triggered by reafferent signals about action

467

outcome (Chambon, Moore, & Haggard, 2014). Future studies may address this issue by designing

468

new paradigms which dissociate prospective and retrospective components of agency and examine the

469

role of dLPFC and AG in each of these components.

470

4.7. Conclusion and clinical implications

471

Sense of agency is an important and distinctive feature of human voluntary action. We used a causal

472

intervention (tDCS) and an implicit perceptual measure of sense of agency (intentional binding) to

473

examine the role of different brain areas in sense of agency. Anodal stimulation of parietal cortex

474

consistently reduced the binding of tones towards actions. We hypothesised that the angular gyrus

475

might contribute to the sense of agency by monitoring the linkage of actions to outcomes, or,

476

alternatively and equivalently, failures of such linkage. Anodal stimulation of this area may

477

correspond to artificial boosting of a mismatch detection process.

478

Sense of agency is altered following several classes of psychiatric and neurological disorders. In

479

particular, patients with apraxia following lesions to the left parietal fail to recognise the source of a

480

viewed manual gesture (Sirigu, Daprati, Pradat-Diehl, Franck, & Jeannerod, 1999). This deficit is

481

formally equivalent to an overestimation of agency in an explicit judgement task, consistent with

482

damage to a neural centre detecting mismatches. The posterior form of ‘alien hand syndrome’ is also

483

associated with contralateral parietal lesions (e.g., (Kloesel, Czarnecki, Muir, & Keller, 2010)).

484

Interestingly, these patients show involuntary and spontaneous movements of the contralateral limb,

485

but may correctly perceive that they are not agents over these actions. The capacity for voluntary

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movement is often preserved. Quantitative assessment of the implicit sense of agency in parietal

487

patients would be of considerable value in understanding the neural basis of sense of agency.

488

Competing interests

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The authors declare no competing financial interests.

491

Acknowledgements

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This work was supported by the European Research Council Advanced Grant HUMVOL. PH was

493

additionally supported by a Professorial Research Fellowship from the ESRC. The funding sources

494

had no involvement, in study design; in the collection, analysis or interpretation of data; in the writing

495

of the report; or in the decision to submit the article for publication.

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We thank Andrea Desantis for helpful comments during the preparation of the manuscript.

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References

509

Bardi, L., Kanai, R., Mapelli, D., & Walsh, V. (2013). Direct current stimulation (tDCS) reveals

510

parietal asymmetry in local/global and salience-based selection. Cortex, 49(3), 850–860.

511

http://doi.org/10.1016/j.cortex.2012.04.016 Brass, M., & Haggard, P. (2007). To do or not to do: the neural signature of self-control. The Journal

RI PT

512 513

of Neuroscience: The Official Journal of the Society for Neuroscience, 27(34), 9141–9145.

514

http://doi.org/10.1523/JNEUROSCI.0924-07.2007

517 518 519

SC

516

Buxbaum, L. J., Sirigu, A., Schwartz, M. F., & Klatzky, R. (2003). Cognitive representations of hand posture in ideomotor apraxia. Neuropsychologia, 41(8), 1091–1113.

Cardinal, R. N., & Aitken, M. R. F. (2013). ANOVA for the Behavioral Sciences Researcher.

M AN U

515

Psychology Press.

Chambon, V., Moore, J. W., & Haggard, P. (2014). TMS stimulation over the inferior parietal cortex

520

disrupts prospective sense of agency. Brain Structure & Function.

521

http://doi.org/10.1007/s00429-014-0878-6

Chambon, V., Wenke, D., Fleming, S. M., Prinz, W., & Haggard, P. (2013). An Online Neural

TE D

522 523

Substrate for Sense of Agency. Cerebral Cortex, 23(5), 1031–1037.

524

http://doi.org/10.1093/cercor/bhs059

Cohen Kadosh, R., Soskic, S., Iuculano, T., Kanai, R., & Walsh, V. (2010). Modulating neuronal

EP

525

activity produces specific and long-lasting changes in numerical competence. Current

527

Biology: CB, 20(22), 2016–2020. http://doi.org/10.1016/j.cub.2010.10.007

528 529 530

AC C

526

Cravo, A. M., Claessens, P. M. E., & Baldo, M. V. C. (2009). Voluntary action and causality in temporal binding. Experimental Brain Research, 199(1), 95–99. http://doi.org/10.1007/s00221-009-1969-0

531

Cumming, G. (2005). Understanding the Average Probability of Replication Comment on Killeen

532

(2005). Psychological Science, 16(12), 1002–1004. http://doi.org/10.1111/j.1467-

533

9280.2005.01650.x

20

ACCEPTED MANUSCRIPT 534

De Jong, B. M. (2011). Neurology of widely embedded free will. Cortex; a Journal Devoted to the

535

Study of the Nervous System and Behavior, 47(10), 1160–1165.

536

http://doi.org/10.1016/j.cortex.2011.06.011

537

Desmurget, M., Reilly, K. T., Richard, N., Szathmari, A., Mottolese, C., & Sirigu, A. (2009). Movement intention after parietal cortex stimulation in humans. Science (New York, N.Y.),

539

324(5928), 811–813. http://doi.org/10.1126/science.1169896

540

RI PT

538

Engbert, K., Wohlschläger, A., Thomas, R., & Haggard, P. (2007). Agency, subjective time, and other minds. Journal of Experimental Psychology. Human Perception and Performance, 33(6),

542

1261–1268. http://doi.org/10.1037/0096-1523.33.6.1261

544 545

Farrer, C., Franck, N., Georgieff, N., Frith, C. D., Decety, J., & Jeannerod, M. (2003). Modulating the experience of agency: a positron emission tomography study. NeuroImage, 18(2), 324–333.

M AN U

543

SC

541

Farrer, C., Frey, S. H., Horn, J. D. V., Tunik, E., Turk, D., Inati, S., & Grafton, S. T. (2008). The

546

Angular Gyrus Computes Action Awareness Representations. Cerebral Cortex, 18(2), 254–

547

261. http://doi.org/10.1093/cercor/bhm050

Farrer, C., & Frith, C. D. (2002). Experiencing oneself vs another person as being the cause of an

TE D

548 549

action: the neural correlates of the experience of agency. NeuroImage, 15(3), 596–603.

550

http://doi.org/10.1006/nimg.2001.1009

Fink, G. R., Marshall, J. C., Halligan, P. W., Frith, C. D., Driver, J., Frackowiak, R. S., & Dolan, R. J.

EP

551

(1999). The neural consequences of conflict between intention and the senses. Brain: A

553

Journal of Neurology, 122 ( Pt 3), 497–512.

AC C

552

554

Fletcher, P. C., & Frith, C. D. (2009). Perceiving is believing: a Bayesian approach to explaining the

555

positive symptoms of schizophrenia. Nature Reviews. Neuroscience, 10(1), 48–58.

556 557 558 559

http://doi.org/10.1038/nrn2536

Frith, C. D. (2014). Action, agency and responsibility. Neuropsychologia, 55, 137–142. http://doi.org/10.1016/j.neuropsychologia.2013.09.007 Frith, C. D., Blakemore, & Wolpert, D. M. (2000). Abnormalities in the awareness and control of

560

action. Philosophical Transactions of the Royal Society of London. Series B: Biological

561

Sciences, 355(1404), 1771–1788. http://doi.org/10.1098/rstb.2000.0734 21

ACCEPTED MANUSCRIPT 562

Haggard, P., Aschersleben, G., Gehrke, J., & Prinz, W. (2002). Action, binding, and awareness. In W.

563

Prinz & B. Hommel (Eds.), Common Mechanisms in Perception and Action B. (Vol. 19, pp.

564

266–285). OXFORD UNIVERSITY PRESS. Retrieved from http://eprints.ucl.ac.uk/4192/

566 567

Haggard, P., Clark, S., & Kalogeras, J. (2002). Voluntary action and conscious awareness. Nature Neuroscience, 5(4), 382–385. http://doi.org/10.1038/nn827 Haggard, P., Martin, F., Taylor-Clarke, M., Jeannerod, M., & Franck, N. (2003). Awareness of action

568

in schizophrenia. Neuroreport, 14(7), 1081–1085.

569

http://doi.org/10.1097/01.wnr.0000073684.00308.c0

Hecht, D., Walsh, V., & Lavidor, M. (2010). Transcranial Direct Current Stimulation Facilitates

SC

570

RI PT

565

Decision Making in a Probabilistic Guessing Task. The Journal of Neuroscience, 30(12),

572

4241–4245. http://doi.org/10.1523/JNEUROSCI.2924-09.2010

M AN U

571

Horvath, J. C., Forte, J. D., & Carter, O. (2014). Evidence that transcranial direct current stimulation

574

(tDCS) generates little-to-no reliable neurophysiologic effect beyond MEP amplitude

575

modulation in healthy human subjects: A systematic review. Neuropsychologia, 66C, 213–

576

236. http://doi.org/10.1016/j.neuropsychologia.2014.11.021

577

TE D

573

Jacobson, L., Goren, N., Lavidor, M., & Levy, D. A. (2012). Oppositional transcranial direct current stimulation (tDCS) of parietal substrates of attention during encoding modulates episodic

579

memory. Brain Research, 1439, 66–72. http://doi.org/10.1016/j.brainres.2011.12.036

581 582 583 584

Jacobson, L., Koslowsky, M., & Lavidor, M. (2012). tDCS polarity effects in motor and cognitive domains: a meta-analytical review. Experimental Brain Research, 216(1), 1–10.

AC C

580

EP

578

http://doi.org/10.1007/s00221-011-2891-9

Jahanshahi, M., Jenkins, I. H., Brown, R. G., Marsden, C. D., Passingham, R. E., & Brooks, D. J. (1995). Self-initiated versus externally triggered movements. I. An investigation using

585

measurement of regional cerebral blood flow with PET and movement-related potentials in

586

normal and Parkinson’s disease subjects. Brain: A Journal of Neurology, 118 ( Pt 4), 913–

587

933.

22

ACCEPTED MANUSCRIPT 588

Kloesel, B., Czarnecki, K., Muir, J. J., & Keller, A. S. (2010). Sequelae of a left-sided parietal stroke:

589

posterior alien hand syndrome. Neurocase, 16(6), 488–493.

590

http://doi.org/10.1080/13554794.2010.497154

592 593 594 595

Kranick, S. M., & Hallett, M. (2013). Neurology of volition. Experimental Brain Research, 229(3), 313–327. http://doi.org/10.1007/s00221-013-3399-2

RI PT

591

Krzanowski, W. J. (2000). Principles of Multivariate Analysis: A User’s Perspective (2 edition). Oxford Oxfordshire ; New York: OUP Oxford.

Kühn, S., Brass, M., & Haggard, P. (2013). Feeling in control: Neural correlates of experience of agency. Cortex, 49(7), 1935–1942. http://doi.org/10.1016/j.cortex.2012.09.002

597

Lee, W., & Reeve, J. (2013). Self-determined, but not non-self-determined, motivation predicts

SC

596

activations in the anterior insular cortex: an fMRI study of personal agency. Social Cognitive

599

and Affective Neuroscience, 8(5), 538–545. http://doi.org/10.1093/scan/nss029

M AN U

598

600

Meier, U. (2006). A note on the power of Fisher’s least significant difference procedure.

601

Pharmaceutical Statistics, 5(4), 253–263. http://doi.org/10.1002/pst.210 Moore, J. W., Middleton, D., Haggard, P., & Fletcher, P. C. (2012). Exploring implicit and explicit

TE D

602 603

aspects of sense of agency. Consciousness and Cognition, 21(4), 1748–1753.

604

http://doi.org/10.1016/j.concog.2012.10.005

607 608 609 610 611

EP

606

Moore, J. W., & Obhi, S. S. (2012). Intentional binding and the sense of agency: a review. Consciousness and Cognition, 21(1), 546–561. http://doi.org/10.1016/j.concog.2011.12.002 Moore, J. W., Ruge, D., Wenke, D., Rothwell, J., & Haggard, P. (2010). Disrupting the experience of

AC C

605

control in the human brain: pre-supplementary motor area contributes to the sense of agency. Proceedings. Biological Sciences / The Royal Society, 277(1693), 2503–2509. http://doi.org/10.1098/rspb.2010.0404

Moretto, G., Walsh, E., & Haggard, P. (2011). Experience of agency and sense of responsibility.

612

Consciousness and Cognition, 20(4), 1847–1854.

613

http://doi.org/10.1016/j.concog.2011.08.014

614 615

Nathan, S. S., Sinha, S. R., Gordon, B., Lesser, R. P., & Thakor, N. V. (1993). Determination of current density distributions generated by electrical stimulation of the human cerebral cortex. 23

ACCEPTED MANUSCRIPT 616

Electroencephalography and Clinical Neurophysiology, 86(3), 183–192.

617

http://doi.org/10.1016/0013-4694(93)90006-H Nitsche, M. A., Cohen, L. G., Wassermann, E. M., Priori, A., Lang, N., Antal, A., Pascual-Leone, A.

619

(2008). Transcranial direct current stimulation: State of the art 2008. Brain Stimulation, 1(3),

620

206–223. http://doi.org/10.1016/j.brs.2008.06.004

621

RI PT

618

Nitsche, M. A., Liebetanz, D., Lang, N., Antal, A., Tergau, F., & Paulus, W. (2003). Safety criteria for transcranial direct current stimulation (tDCS) in humans. Clinical Neurophysiology:

623

Official Journal of the International Federation of Clinical Neurophysiology, 114(11), 2220–

624

2222; author reply 2222–2223.

626 627

Nitsche, M. A., & Paulus, W. (2000). Excitability changes induced in the human motor cortex by weak transcranial direct current stimulation. The Journal of Physiology, 527 Pt 3, 633–639.

M AN U

625

SC

622

Okamoto, M., Dan, H., Sakamoto, K., Takeo, K., Shimizu, K., Kohno, S., Dan, I. (2004). Threedimensional probabilistic anatomical cranio-cerebral correlation via the international 10–20

629

system oriented for transcranial functional brain mapping. NeuroImage, 21(1), 99–111.

630

http://doi.org/10.1016/j.neuroimage.2003.08.026

631

TE D

628

Poreisz, C., Boros, K., Antal, A., & Paulus, W. (2007). Safety aspects of transcranial direct current stimulation concerning healthy subjects and patients. Brain Research Bulletin, 72(4-6), 208–

633

214. http://doi.org/10.1016/j.brainresbull.2007.01.004

EP

632

Rowe, J. B., Hughes, L., & Nimmo-Smith, I. (2010). Action selection: a race model for selected and

635

non-selected actions distinguishes the contribution of premotor and prefrontal areas.

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NeuroImage, 51(2), 888–896. http://doi.org/10.1016/j.neuroimage.2010.02.045

Sirigu, A., Daprati, E., Ciancia, S., Giraux, P., Nighoghossian, N., Posada, A., & Haggard, P. (2004). Altered awareness of voluntary action after damage to the parietal cortex. Nature Neuroscience, 7(1), 80–84. http://doi.org/10.1038/nn1160

640

Sirigu, A., Daprati, E., Pradat-Diehl, P., Franck, N., & Jeannerod, M. (1999). Perception of self-

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generated movement following left parietal lesion. Brain, 122(10), 1867–1874.

642

http://doi.org/10.1093/brain/122.10.1867

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Sperduti, M., Delaveau, P., Fossati, P., & Nadel, J. (2011). Different brain structures related to self-

644

and external-agency attribution: a brief review and meta-analysis. Brain Structure &

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Function, 216(2), 151–157. http://doi.org/10.1007/s00429-010-0298-1

646

Spitoni, G. F., Pireddu, G., Cimmino, R. L., Galati, G., Priori, A., Lavidor, M., Pizzamiglio, L. (2013). Right but not left angular gyrus modulates the metric component of the mental body

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representation: a tDCS study. Experimental Brain Research. Experimentelle Hirnforschung.

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Expérimentation Cérébrale, 228(1), 63–72. http://doi.org/10.1007/s00221-013-3538-9

650

RI PT

647

Synofzik, M., Vosgerau, G., & Newen, A. (2008). Beyond the comparator model: a multifactorial two-step account of agency. Consciousness and Cognition, 17(1), 219–239.

652

http://doi.org/10.1016/j.concog.2007.03.010

Wolpe, N., Haggard, P., Siebner, H. R., & Rowe, J. B. (2013). Cue integration and the perception of

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action in intentional binding. Experimental Brain Research, 229(3), 467–474.

655

http://doi.org/10.1007/s00221-013-3419-2

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Wolpert, D. M., & Ghahramani, Z. (2000). Computational principles of movement neuroscience. Nature Neuroscience, 3 Suppl, 1212–1217. http://doi.org/10.1038/81497

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Woods, A. J., Hamilton, R. H., Kranjec, A., Minhaus, P., Bikson, M., Yu, J., & Chatterjee, A. (2014). Space, time, and causality in the human brain. NeuroImage, 92, 285–297.

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http://doi.org/10.1016/j.neuroimage.2014.02.015

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Zwissler, B., Sperber, C., Aigeldinger, S., Schindler, S., Kissler, J., & Plewnia, C. (2014). Shaping Memory Accuracy by Left Prefrontal Transcranial Direct Current Stimulation. The Journal of

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Fig. 1. Schematic of intentional binding. Action and tone shifts are measured by subtracting each

671

participant’s mean judgement error in baseline conditions from judgement error in operant conditions.

672

These shifts serve as measures of intentional binding. Vertical bars and thin arrows represent mean

673

judgement errors in each condition. Thick arrows represent binding effects. See text for full

674

explanation.

675

Fig. 2. A. tDCS montage and study design (anode +, cathode -). See text for explanation. In

676

Experiment 1, to control for the cutaneous sensation of all three locations, all sponges were kept in

677

place across the three sessions. However, only two of them were actually functioning in each session.

678

B. Stimulation protocol. The order of conditions was randomised within each session.

679

Fig. 3. Intentional binding in Experiment 1. A) The dashed line indicates the perceived time of either

680

action or tone in the corresponding baseline condition. A separate baseline condition was used for

681

each session, and differences in baseline values across sessions have been removed for display

682

purposes. Binding effects are drawn to scale, and values are in milliseconds. B) Mean binding effects

683

in ms. The sign of tone binding effects has been inverted to allow for comparison with action binding.

684

Error bars show standard error of the mean. * p<0.05.

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Fig. 4. Intentional binding in Experiment 2. Format as in Fig. 3.

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Fig. 5. Intentional binding in Experiment 3. Format as in Fig. 3.

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-25

60

A.1.

5

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-39

-78

134

Mea

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52

130

86

29

n (in

7

-54

24

-24

8

22

69

75

9

-84

14

11

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12

89

13

-92

14

-80

15

-18

16

-8

17

16

18

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33

Tabl e

ms)

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30

of

-48

-83

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all

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152

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con

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-48

-192

ditio

-6

-52

-150

-31

-21

-94

22

31

-88

-86

-48

-166

-95

-48

-41

-90

dal

2

27

24

144

22

stim

10

-74

-36

-6

-241

ulati

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on of left dLPFC from subjects in Experiment 1. Shaded rows are data from excluded subjects.

Participant

Baseline Action

Baseline Tone

Operant Action

Operant Tone

ns for ano

ACCEPTED MANUSCRIPT 1

113

88

140

91

3

60

98

73

62

4

207

151

97

183

5

133

95

191

164

6

121

128

89

100

7

91

124

70

8

70

78

62

9

37

86

47

11

73

89

12

74

83

13

96

91

14

33

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39

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Sta

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91

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141

76

82

78

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44

73

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113

50

78

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64

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Baseline Action

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Operant Tone

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91

-55

3

-52

27

-70

-30

4

-6

126

15

-14

5

-21

-21

-37

83

6

-41

95

49

48

7

-114

-1

-108

-26

8

19

83

77

112

9

-51

33

-93

-41

11

-93

-45

-71

-154

12

117

46

199

39

13

-83

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-81

-236

14

-77

-14

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-168

15

-73

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-41

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20

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Table A.3. Mean (in ms) of all conditions for anodal stimulation of left AG from subjects in Experiment 1. Shaded rows are data from excluded subjects.

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Baseline Tone

Operant Action

Operant Tone

1

86

79

112

93

3

59

92

74

72

4

65

146

72

120

5

139

99

154

88

6

86

161

76

7

105

120

87

8

60

83

80

9

46

72

44

11

107

64

12

60

96

13

114

14

48

15

60

16

41

17

93

18

82

2

284

10

55

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125 86

70 83

120

72

87

112

100

104

47

54

56

69

37

42

75

72

72

130

57

211

136

76

136

117

181

106

91

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Table A.4. Standard deviation of judgement error across trials (in ms) of all conditions for anodal stimulation of left AG from subjects in Experiment 1. Shaded rows are data from excluded subjects.

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Baseline Action

Baseline Tone

Operant Action

Operant Tone

Tab -25

-14

33

-175

3

-59

42

230

13

4

9

208

-2

-147

5

1

0

-42

6

59

45

97

7

-21

-34

-68

8

17

82

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-46

diti

72

32

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-82

-72

-83

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18

-85

7

-74

-122

2

28

39

113

13

-57

6

-29

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from subjects in Experiment 1. Shaded rows are data from excluded subjects.

Participant

ms)

Baseline Tone

Operant Action

Operant Tone

91

121

77

98

3

68

64

70

53

4

78

161

80

195

5

137

115

99

83

6

137

115

94

101

7

90

113

78

8

80

47

102

9

69

132

78

11

82

92

12

80

111

13

101

14

47

15

48

16

41

17

70

18

89

2

155

10

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70

92

77

172

62

120

117

122

47

51

73

77

42

38

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45

69

105

68

83

131

83

116

88

271

136

85

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Table A.6. Standard deviation of judgement error across trials (in ms) of all conditions for sham from subjects in Experiment 1. Shaded rows are data from excluded subjects.

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-87

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97

-72

-116

-107

-173

-38

44

25

4

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-169

-40

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-9

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84

30

1 3

5 6 7

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11 44

57

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20

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78

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3

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101

161

65

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146

-158

-58

-10

-244

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Table A.7. Mean (in ms) of all conditions for anodal stimulation of the left AG from subjects in Experiment 2. Shaded rows are data from excluded subjects.

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198 -111 83 77 53 -54 47 -12 62 -147 40 -55 55 -54 211 -7 123

-62

71 77

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57 -135 96 95 51 -127 54 -56 50 -11 166 44 83

65 -121 81 49 92 -89 66 -28 77 -172 48 -58 60 -15 209 20 121

76 Operant Tone 99 -212 90 -362 62 62 78 -186 62 -20 63 -142 111 -143 71 -2 214 -81 140

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Table A.8. Standard deviation of judgement error across trials (in ms) of all conditions for

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63

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66

88

37

-105

-57

-101

84

137

97

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-168

-93

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Baseline Action 1

Baseline Tone mn2

Operant Action n3

Operant Tone mn4

55

83

59

78

57

99

45

86

87

120

59

87

66

76

65

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56

60

58

64

89

109

154

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56

58

67

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130

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1 3 4 5 6 7 8 9

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60

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35

59

60

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92

141

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407

193

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16 17 18

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Table A.10. Standard deviation of judgement error across trials (in ms) of all conditions for cathodal stimulation of the left AG from subjects in Experiment 2. Shaded rows are data from

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excluded subjects.

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Baseline Action

Baseline Tone

Operant Action

Operant Tone

-108

-9

-83

-73

-150

-117

-136

-258

44

-21

25

-101

-60

-100

-77

-111

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-51

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-29

-2

-38

-176

1 3 4 5 6 7 8

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-14

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-16

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-113

-38

-36

-66

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-11

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Table A.11. Mean (in ms) of all conditions for sham from subjects in Experiment 2. Shaded

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Operant Action n3

Operant Tone mn4

57

76

42

55

81

82

68

95

120

68

64

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62

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10 11 12

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Table A.12. Standard deviation of judgement error across trials (in ms) of all conditions for

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-9

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48

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23

45

36

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37

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-89

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-31

-86

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-39

-75

-118

-85

2 3

7 8 9

12

-48

-10

-18

-72

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-9

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-65

-20

-39

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-2

-4

-26

-127

-143

-37

-29

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-2

-100

-85

-92

-108

-126

-61

-44

-22

-87

-79

-60

16

-32

-30

-3

-12

48

18

-30

-45

35

-19

-4

-50

87

-22

166

-27

-16

-19

72

51

11

-14

173

110

13 14 15

17 -108 1 -51 6

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Table A.13. Mean (in ms) of all conditions for anodal stimulation of left AG from subjects in Experiment 3. Values are shown separately for left and right hand actions. Shaded rows are data from excluded subjects.

ACCEPTED MANUSCRIPT Participant

Baseline Action Left 1

Baseline Action Right 1

Baseline Tone2

Operant Action Leftn3

Operant Action Rightn3

Operant Tone Leftmn4

Operant Tone Rightn4

66

83

94

60

73

46

47

86

126

111

74

119

95

110

106

122

87

77

61

82

62

66

81

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99

86

146

79

118

78

83

109

85

125

128

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123

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124

144

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102

80

84

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73

178

136

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106

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79

115

78

51

49

75

50

83

62

74

45

94

60

61

84

61

57

50

87

60

48

70

53

137

78

102

64

88

108

91

56

101

57

51

54

77

85

2 3

7 8 9

12 13 14 15

52 1 33 6 65 10 111 18

54

63

64

90

77

42

76

114

185

88

83

243

108

76

70

131

115

116

132

114

298

130

126

232

213

219

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234

115

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Table A.14. Standard deviation of judgement error across trials (in ms) of all conditions for anodal stimulation of left AG from subjects in Experiment 3. Values are shown separately for left and right hand actions. Shaded rows are data from excluded subjects.

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Participant

Baseline Action Left

Baseline Action Right

Baseline Tone

Operant Action Left

Operant Action Right

Operant Tone Left

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-10

-33

20

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20

29

-39

-49

10

-24

-7

-151

-155

-30

-11

98

-17

-57

-48

-27

-42

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-93

-28

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85

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63

38

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5

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-62

-85

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26

-17

-20

108

102

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-157

-185

-100

-129

-30

-18

-40

-107

-103

-27

-36

-83

-98

-88

-25

10

4

-10

-11

-29

-141

-141

-64

-99

5 7

9

13 14

16 -67 17 -95 1

10

-41

-27

-42

-38

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-154

-105

-39

-78

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Table A.15. Mean (in ms) of all conditions for anodal stimulation of right AG from subjects in Experiment 3. Values are shown separately for left and right hand actions. Shaded rows are data from excluded subjects.

ACCEPTED MANUSCRIPT Participant

Baseline Action Left 1

Baseline Action Right 1

Baseline Tone2

Operant Action Leftn3

Operant Action Rightn3

Operant Tone Leftmn4

Operant Tone Rightn4

84

70

62

33

75

73

60

62

100

90

83

86

87

63

69

56

84

58

63

93

64

36

66

94

44

97

61

58

87

113

58

109

85

103

105

111

101

139

91

151

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98

73

105

59

67

106

115

75

57

79

95

79

59

85

102

43

63

44

44

47

42

63

60

48

2 3

5 7

9

12

46

44

70

65

55

84

39

67

63

57

77

73

46

52

64

99

81

47

72

60

58

43

55

42

53

47

42

59

63

35

137

91

38

92

275

58

52

55

269

81

113

64

181

205

96

67

78

230

258

117

178

106

66

109

97

235

135

274

13 14 15

17 45 1 39 6

AC C

18

EP

116

TE D

16

10

M AN U

11

SC

8

RI PT

4

Table A.16. Standard deviation of judgement error across trials (in ms) of all conditions for anodal stimulation of right AG from subjects in Experiment 3. Values are shown separately for left and right hand actions. Shaded rows are data from excluded subjects.

ACCEPTED MANUSCRIPT

Participant

Baseline Action Left

Baseline Action Right

Baseline Tone

Operant Action Left

Operant Action Right

Operant Tone Left

Operant Tone Right

-2

-8

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-5

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29

EP

Table A.17. Mean (in ms) of all conditions for sham from subjects in Experiment 3. Values are shown separately for left and right hand actions. Shaded rows are data from excluded

AC C

subjects.

Participant

Baseline Action Left 1

Baseline Action Right 1

Baseline Tone

Operant Action Leftn3

Operant Action Rightn3

Operant Tone Leftmn4

Operant Tone Rightn2

54

76

80

92

63

74

46

115

124

152

237

113

86

63

2 3

ACCEPTED MANUSCRIPT 4 86

92

95

67

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41

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114

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96

98

93

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74

184

49

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83

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74

64

36

58

76

53

61

68

66

76

64

68

47

56

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62

32

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171

270

5 7 8

12 13 14

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183

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181

98

156

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90

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166

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10 18

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15

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9

EP

Table A.18. Standard deviation of judgement error across trials (in ms) of all conditions for sham from subjects in Experiment 3. Values are shown separately for left and right hand

AC C

actions. Shaded rows are data from excluded subjects.

M AN U

SC

RI PT

ACCEPTED MANUSCRIPT

TE D

Fig. A.1. Scores of the individual participants on the first canonical variate from a discriminant analysis of Experiment 1. Each dot indicates one participant, and a fitted Gaussian frequency distribution is also shown. The raw coefficients of the canonical variate

EP

were 0.015 for action binding, and 0.02 for tone binding. Both parietal and frontal stimulation

AC C

conditions were significantly different from sham.

ACCEPTED MANUSCRIPT Baseline Action

Baseline Tone

Operant Action

Operant Tone

1

-25

-5

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-63

51

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21

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B.1.

5

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Med

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ian

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Participant

29

Tabl e

(in

22

ms)

-52

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of

M AN U

-86

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all

17

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ano

2

22

21

130

-16

dal

10

-75

-87

-59

-233

stim

EP

TE D

32

ditio ns for

AC C

ulation of left dLPFC from subjects in Experiment 1. Shaded rows are data from excluded subjects.

Participant

Baseline Action

Baseline Tone

Operant Action

Operant Tone

ACCEPTED MANUSCRIPT 1 Participant

31 Baseline Action

0 Baseline Tone

101 Operant Action

-50 Operant Tone

-59

6

-66

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4

-10

92

16

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9

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48

13

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10

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RI PT

3

AC C

Table B.2. Median (in ms) of all conditions for anodal stimulation of left AG from subjects in Experiment 1. Shaded rows are data from excluded subjects.

ACCEPTED MANUSCRIPT 1 Participant 3

-26 Baseline Action -59

-31 Baseline Tone 36

28 Operant Action 234

-168 Operant Tone 10

4

15

193

-7

-174

5

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74

6

43

42

101

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7

-22

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9

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13

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Tabl

-149

e B.3. Med

31

ian

-124

(in

-212

ms) of

-11

-49

-207

18

-46

-79

-15

-36

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ns

65

30

-90

for

-77

-64

-69

sha

-100

12

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-113

m

2

18

35

51

21

10

-53

17

-32

-119

TE D

M AN U

178

all con ditio

fro m subj

EP

ects in Experiment 1. Shaded rows are data from excluded subjects.

AC C

Action binding: No significant effect of stimulation (F(2, 30)=3.11, p=0.06). Tone binding: Significant effect of stimulation (F(2, 30)=3.41, p=0.04). Tone binding was significantly reduced by anodal stimulation of the putative left AG compared to sham (t(15)=2.40, p=0.03).

ACCEPTED MANUSCRIPT 1 Participant 3 1 4

-63 Baseline Action -82 -74 112

-66 Baseline Tone -67 -6 92

-77 Operant Action -101

-102 Operant Tone -331

-50 70

-230 76

5 -63

-118

-98

-193

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34

40

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14 -91 15 -56 16 58 17 -75

EP

13

TE D

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Table B.4. Median (in ms) of all conditions for anodal stimulation of the left AG from

AC C

subjects in Experiment 2. Shaded rows are data from excluded subjects.

ACCEPTED MANUSCRIPT 3 -96

-51

-141

-354

67

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-95

EP

Table B.5. Median (in ms) of all conditions for cathodal stimulation of the left AG from

AC C

subjects in Experiment 2. Shaded rows are data from excluded subjects.

Participant

Baseline Action

Baseline Tone

Operant Action

Operant Tone

ACCEPTED MANUSCRIPT 1 -108

-16

-83

-69

-153

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-247

34

-30

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-33

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6

Table B.6. Median (in ms) of all conditions for sham from subjects in Experiment 2. Shaded

AC C

rows are excluded subjects.

Action binding: No significant effect of stimulation (F(2, 30)=2.70, p=0.08). Tone binding: No significant effect of stimulation (F(2, 30)=0.48, p=0.62).

ACCEPTED MANUSCRIPT Participant

Baseline Action Left

Baseline Action Right

Baseline Tone

Operant Action Left

Operant Action Right

Operant Tone Left

Operant Tone Right

-20

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11

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13 14 15

17 -99 1 -48 6

AC C

18

EP

-2

TE D

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5

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4

Table B.7. Median (in ms) of all conditions for anodal stimulation of left AG from subjects in Experiment 3. Values are shown separately for left and right hand actions. Shaded rows are data from excluded subjects.

ACCEPTED MANUSCRIPT

Baseline Operant Operant Operant Operant Tone Action Action Tone Left Tone Baseline Operant Operant Operant Operant Left Right Right Tone Action Action Tone Left Tone Left Right Right -38

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AC C

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Baseline Baseline Action Action Participant Baseline Baseline Left Right Action Action Left Right 2 -33 -28 3 -40 -41 4 -35 -3 5 -49 -60 7 -145 -111 8 88 119 9 -31 -6 11 -157 -145 12 -70 -62 13 5 1 14 4 8 15 -82 -66 16 -73 -35 17 -89 -106 1 -79 -68 6 52 8 10 -88 -44 18 41 -11

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TE D

Participant

Table B.8. Median (in ms) of all conditions for anodal stimulation of right AG from subjects in Experiment 3. Values are shown separately for left and right hand actions. Shaded rows are data from excluded subjects.

ACCEPTED MANUSCRIPT

7 8 9 11 12 13 14 15 16 17 1 6 10 18

-20

-16

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TE D

2

EP

Table B.9. Median (in ms) of all conditions for sham from subjects in Experiment 3. Values are shown separately for left and right hand actions. Shaded rows are data from excluded

AC C

subjects.

Action binding: No significant main effect of stimulation (F(2, 26)=0.14, p=0.87), no significant main effect of acting hand (F(1, 13)=1.40, p=0.26), no significant interaction (F(2, 26)=0.75, p=0.48).

Tone binding: Significant main effect of stimulation (F(2, 26)=7.24, p<0.01). Tone binding was significantly reduced by anodal stimulation of the putative left AG relative to both sham (t(13)=2.67, p=0.02) and anodal stimulation of putative right AG (t(13)=3.19, p=0.01). No significant main effect of acting hand (F(1, 13)=0.04, p=0.85), no significant interaction (F(2, 26)=1.57, p=0.23).