- Email: [email protected]
ANTERIOR CINGULATE CORTEX EXHIBITS AGE-RELATED METABOLIC CHANGES: CORRELATION WITH BEHAVIORAL PERFORMANCE IN ATTENTION TASK
P446 P1-431
Poster Presentations: Sunday, July 16, 2017 CROSS-NETWORK COUPLING OF THE FRONTO-PARIETAL CONTROL NETWORK DURING MEMORY PERFORMANCE SUPPORTS PROTECTIVE EFFECTS OF EDUCATION IN AGING
Nicolai Franzmeier1, Julia Hartmann2, Alexander N. W. Taylor1, Miguel A. Araque Caballero3, Lee Simon-Vermot1, Katharina Buerger4, Cihan Catak2, Daniel Janowitz2, Claudia Mueller2, Birgit Ertle-Wagner5,6, Robert Stahl7, Martin Dichgans1, Marco Duering1, Michael Ewers4, 1 Institute for Stroke and Dementia Research, M€unchen, Germany; 2Institute for Stroke and Dementia Research, Munich, Germany; 3Institute for Stroke and Dementia Research, Klinikum der Universitaet M€unchen, Ludwig-Maximilians-University Munich, Munich, Germany; 4Institute for Stroke and Dementia Research (ISD), Klinikum der Universit€at M€unchen, Munich, Germany; 5Institute of Clinical Radiology, M€unchen, Germany; 6 Ludwig Maximilian University of Munich, Munich, Germany; 7Institute for Clinical Radiology, Munich, Germany. Contact e-mail: Nicolai. [email protected] Background: Individuals with higher education have a lower risk of
developing cognitive decline or Alzheimer’s disease dementia at late age, suggesting that education is associated with enhanced reserve in late-life that helps maintaining memory and other cognitive abilities. Yet, an unresolved question is which functional brain mechanisms underlie such protective effects of education. We and others have previously shown that intrinsic connectivity of frontoparietal control network (FPCN) hubs is enhanced in individuals with higher education and IQ. Such intrinsic connectivity is thought to reflect the FPCNs’ ability to exert control on other functional networks during cognitive demands, thereby increasing efficient information processing. Here, we tested the hypothesis that protective effects of education on memory in aging are associated with higher cross-network FPCN-connectivity and thus more efficient network processing during a memory task. Methods: Face-name memory task-fMRI was applied in 26 healthy elderly participants. Using beta-series correlation, we assessed task-related connectivity during successful memory performance between a set of 264 ROIs
covering the whole brain. Subsequently, we computed global efficiency within ten major functional networks using graph-theory. Lastly, we assessed the degree of FPCN connectivity to each of the remaining nine functional networks to assess FPCN crossnetwork coupling. Using structural equation modeling we tested whether greater education predicted higher network efficiency via greater FPCN-cross network coupling and whether higher network efficiency predicted better memory performance. Results:Higher education significantly (p<0.05) predicted higher global efficiency in the default-mode (DMN) and dorsal attention network (DAN), during successful memory encoding and recall (see Fig. 1), which in turn predicted better memory performance, with correction for multiple testing. The associations between education and global efficiency of the DMN and DAN were mediated by FPCN-connectivity to both of these networks (see Fig. 2 for structural equation model). Conclusions: The memory-enhancing effects of education in aging can be attributed to higher coupling of the FPCN with other functional networks, which enhances efficient information transfer within those networks.
P1-432
ANTERIOR CINGULATE CORTEX EXHIBITS AGE-RELATED METABOLIC CHANGES: CORRELATION WITH BEHAVIORAL PERFORMANCE IN ATTENTION TASK
Pui Wai Chiu1, Hui Zhang1, Wai Ho Savio Wong2, Tianyan Liu1, Gloria Hoi Yan Wong1, Terry Yat Sang Lum1, Leung Wing Chu1,3,4, Henry Ka Fung Mak1, 1The University of Hong Kong, Hong Kong, Hong Kong; 2The Education University of Hong Kong, Hong Kong, Hong Kong; 3 Hong Kong Brain Memory Centre, Hong Kong, Hong Kong; 4Queen Mary Hospital, Hong Kong, Hong Kong. Contact e-mail: car_rie_chiu@hotmail. com Background: The anterior cingulate cortex(ACC) has become a
focus for aging research because of its implicated role in cognition. Furthermore, a prior fMRI study in older adults had demonstrated an increase in blood oxygen level-dependent(BOLD) signal in the ACC compared to young adults during Stroop task, suggesting compensation. In this study, we investigated the metabolic changes during aging in the dorsal ACC of a local Chinese cohort using quantitative proton magnetic resonance spectroscopy(1H-MRS). In addition, relationship between metabolite concentrations and performance from an attention task (numerical Stroop) will be assessed. Methods: 36 cognitively normal (Mini-mental State Examination28; Montreal Cognitive Assessment26) subjects (mean¼49.3617.5years, age range 24-84years) underwent MR scan using 3.0T Philips scanner. A PRESS(TR/TE¼2000/39 ms) single voxel of 2x2x2cm3 was placed in the dorsal ACC. Choline(Cho),creatine (Cr),N-acetyl aspartate(NAA), myo-inositol(mI), and summation of glutamate and glutamine complex(Glx), were measured and quantified using internal water as reference by QUEST in jMRUI 4.0(Figure 1). Cerebrospinal fluid(CSF)
Poster Presentations: Sunday, July 16, 2017
P447
Figure 3. Scatter plots of [Cho]abs with behavioral performance of (a) Stroop effect, and (b) Stroop Interference. Figure 1. (a) Position of voxel placed in the anterior cingulatecortex, (b) Simulated spectrum using QUEST in jMRUI, and (c) Simulated spectrum (blue) fitted on spectrum from subject (red).
normalization, water content correction for grey matter, white matter and CSF, and correction factors for T1 and T2 relaxations were implemented. Also, the subjects took part in a numerical Stroop task (Figure 2) inside the scanner(fMRI data was currently undergoing analysis). Pearson correlation coefficient(r) was calculated to assess any correlation between 1) absolute metabolite concentrations ([met]abs) and age in the ACC, and 2) [met]abs and behavioral performance. SPSS version 20.0 was used for statistical analysis and level of significance was set at 0.05. Results: Mean [met]abs and behavioral performance were shown in Tables 1 and 2, respectively. In the ACC, both [Cr]abs(r ¼ 0.336; p ¼ 0.045) and [NAA]abs(r ¼ 0.354; p ¼ 0.034) showed significant positive correlation with age. Only [Cho]abs showed significant positive correlation with both Stroop effect (incongruent-congruent)(r ¼ 0.378; p ¼ 0.023) and Stroop interference (incongruent-neutral)(r ¼ 0.549, p ¼ 0.001) after age-effect adjustment (Figure 3). Conclusions: Age-related increase in [Cr]abs might imply altered energy metabolism[1], while increase in [NAA]abs with age might indicate compensation activity[2]. For the positive correlation between [Cho]abs with Stroop effect, and Stroop interference, higher [Cho]abs could signify glial proliferation which might in turn lead to deficits on executive function[3]. [1]Charlton et al., 2007,[2]Milham et al., 2000,[3]Russell et al., 2006.
Table 1 Mean absolute metabolite concentrations and the corresponding correlation with age (mM)
Mean
Correlation with age
[Cho]abs [Cr]abs [NAA]abs [ml]abs [Glx]abs
2.8660.63 15.6662.37 13.1161.82 7.4461.77 15.5562.71
r¼0.292 p¼ 0.084 r¼0.336 p¼0.045* r¼0.354 p¼0.034* r¼0.128 p¼0.458 r¼-0.006 p¼0.973
– [ [ – –
*, p-value <0.05; **, p-value <0.01; [ significant increase; -, no significant change; mM, millimolar.
Table 2 Results of behavioral performance and the corresponding correlation with age
Accuracy (%) Neutral Reaction time (ms) Incongruent Reaction time (ms) Congruent Reaction time (ms) Stroop effect (ms) Stroop interference (ms)
Mean
Correlation with age
94.567.8 0.5760.09 0.6260.09 0.5360.07 0.1060.05 0.0560.04
r¼-0.364 p¼0.029* r¼0.545 p¼0.001** r¼0.593** p<0.001** r¼0.455 p¼0.005** r¼0.432 p¼0.010* r¼-0.161 p¼ 0.348
Y [ [ [ [ -
*, p-value <0.05; **, p-value <0.01; [ significant increase; Y significant decrease; -, no significant change.
P1-433
THE INDEPENDENT EFFECT OF CEREBRAL MICROBLEEDS ON COGNITION
Anne Cristine Deocariza Guevarra1, Xu Cong Ruan2, Nagaendran Kandiah1,2, 1National Neuroscience Institute, Singapore, Singapore; 2Duke-NUS Graduate Medical School, Singapore, Singapore. Contact e-mail: [email protected] Background: The presence of small vessel disease (SVD) is associ-
Figure 2. Trial conditions shown in numerical Stroop Task.
ated with cognitive impairment. However, among the many components of SVD, the contribution of CMBs to cognitive impairment remain elusive. Methods: Our aim was to determine if cerebral microbleeds (CMBs) contribute to global and specific cognitive domains in addition to that contributed by other measures of small vessel disease burden in an Asian cohort. Subjects participating in a multimodal imaging study having a diagnosis of mild cognitive impairment (MCI), mild Alzheimer’s disease (AD) or healthy control (HC) were recruited. CMB were quantified on SWI images, while white matter hyperintensity (WMH) and lacunes were
Poster Presentations: Sunday, July 16, 2017 CROSS-NETWORK COUPLING OF THE FRONTO-PARIETAL CONTROL NETWORK DURING MEMORY PERFORMANCE SUPPORTS PROTECTIVE EFFECTS OF EDUCATION IN AGING
Nicolai Franzmeier1, Julia Hartmann2, Alexander N. W. Taylor1, Miguel A. Araque Caballero3, Lee Simon-Vermot1, Katharina Buerger4, Cihan Catak2, Daniel Janowitz2, Claudia Mueller2, Birgit Ertle-Wagner5,6, Robert Stahl7, Martin Dichgans1, Marco Duering1, Michael Ewers4, 1 Institute for Stroke and Dementia Research, M€unchen, Germany; 2Institute for Stroke and Dementia Research, Munich, Germany; 3Institute for Stroke and Dementia Research, Klinikum der Universitaet M€unchen, Ludwig-Maximilians-University Munich, Munich, Germany; 4Institute for Stroke and Dementia Research (ISD), Klinikum der Universit€at M€unchen, Munich, Germany; 5Institute of Clinical Radiology, M€unchen, Germany; 6 Ludwig Maximilian University of Munich, Munich, Germany; 7Institute for Clinical Radiology, Munich, Germany. Contact e-mail: Nicolai. [email protected] Background: Individuals with higher education have a lower risk of
developing cognitive decline or Alzheimer’s disease dementia at late age, suggesting that education is associated with enhanced reserve in late-life that helps maintaining memory and other cognitive abilities. Yet, an unresolved question is which functional brain mechanisms underlie such protective effects of education. We and others have previously shown that intrinsic connectivity of frontoparietal control network (FPCN) hubs is enhanced in individuals with higher education and IQ. Such intrinsic connectivity is thought to reflect the FPCNs’ ability to exert control on other functional networks during cognitive demands, thereby increasing efficient information processing. Here, we tested the hypothesis that protective effects of education on memory in aging are associated with higher cross-network FPCN-connectivity and thus more efficient network processing during a memory task. Methods: Face-name memory task-fMRI was applied in 26 healthy elderly participants. Using beta-series correlation, we assessed task-related connectivity during successful memory performance between a set of 264 ROIs
covering the whole brain. Subsequently, we computed global efficiency within ten major functional networks using graph-theory. Lastly, we assessed the degree of FPCN connectivity to each of the remaining nine functional networks to assess FPCN crossnetwork coupling. Using structural equation modeling we tested whether greater education predicted higher network efficiency via greater FPCN-cross network coupling and whether higher network efficiency predicted better memory performance. Results:Higher education significantly (p<0.05) predicted higher global efficiency in the default-mode (DMN) and dorsal attention network (DAN), during successful memory encoding and recall (see Fig. 1), which in turn predicted better memory performance, with correction for multiple testing. The associations between education and global efficiency of the DMN and DAN were mediated by FPCN-connectivity to both of these networks (see Fig. 2 for structural equation model). Conclusions: The memory-enhancing effects of education in aging can be attributed to higher coupling of the FPCN with other functional networks, which enhances efficient information transfer within those networks.
P1-432
ANTERIOR CINGULATE CORTEX EXHIBITS AGE-RELATED METABOLIC CHANGES: CORRELATION WITH BEHAVIORAL PERFORMANCE IN ATTENTION TASK
Pui Wai Chiu1, Hui Zhang1, Wai Ho Savio Wong2, Tianyan Liu1, Gloria Hoi Yan Wong1, Terry Yat Sang Lum1, Leung Wing Chu1,3,4, Henry Ka Fung Mak1, 1The University of Hong Kong, Hong Kong, Hong Kong; 2The Education University of Hong Kong, Hong Kong, Hong Kong; 3 Hong Kong Brain Memory Centre, Hong Kong, Hong Kong; 4Queen Mary Hospital, Hong Kong, Hong Kong. Contact e-mail: car_rie_chiu@hotmail. com Background: The anterior cingulate cortex(ACC) has become a
focus for aging research because of its implicated role in cognition. Furthermore, a prior fMRI study in older adults had demonstrated an increase in blood oxygen level-dependent(BOLD) signal in the ACC compared to young adults during Stroop task, suggesting compensation. In this study, we investigated the metabolic changes during aging in the dorsal ACC of a local Chinese cohort using quantitative proton magnetic resonance spectroscopy(1H-MRS). In addition, relationship between metabolite concentrations and performance from an attention task (numerical Stroop) will be assessed. Methods: 36 cognitively normal (Mini-mental State Examination28; Montreal Cognitive Assessment26) subjects (mean¼49.3617.5years, age range 24-84years) underwent MR scan using 3.0T Philips scanner. A PRESS(TR/TE¼2000/39 ms) single voxel of 2x2x2cm3 was placed in the dorsal ACC. Choline(Cho),creatine (Cr),N-acetyl aspartate(NAA), myo-inositol(mI), and summation of glutamate and glutamine complex(Glx), were measured and quantified using internal water as reference by QUEST in jMRUI 4.0(Figure 1). Cerebrospinal fluid(CSF)
Poster Presentations: Sunday, July 16, 2017
P447
Figure 3. Scatter plots of [Cho]abs with behavioral performance of (a) Stroop effect, and (b) Stroop Interference. Figure 1. (a) Position of voxel placed in the anterior cingulatecortex, (b) Simulated spectrum using QUEST in jMRUI, and (c) Simulated spectrum (blue) fitted on spectrum from subject (red).
normalization, water content correction for grey matter, white matter and CSF, and correction factors for T1 and T2 relaxations were implemented. Also, the subjects took part in a numerical Stroop task (Figure 2) inside the scanner(fMRI data was currently undergoing analysis). Pearson correlation coefficient(r) was calculated to assess any correlation between 1) absolute metabolite concentrations ([met]abs) and age in the ACC, and 2) [met]abs and behavioral performance. SPSS version 20.0 was used for statistical analysis and level of significance was set at 0.05. Results: Mean [met]abs and behavioral performance were shown in Tables 1 and 2, respectively. In the ACC, both [Cr]abs(r ¼ 0.336; p ¼ 0.045) and [NAA]abs(r ¼ 0.354; p ¼ 0.034) showed significant positive correlation with age. Only [Cho]abs showed significant positive correlation with both Stroop effect (incongruent-congruent)(r ¼ 0.378; p ¼ 0.023) and Stroop interference (incongruent-neutral)(r ¼ 0.549, p ¼ 0.001) after age-effect adjustment (Figure 3). Conclusions: Age-related increase in [Cr]abs might imply altered energy metabolism[1], while increase in [NAA]abs with age might indicate compensation activity[2]. For the positive correlation between [Cho]abs with Stroop effect, and Stroop interference, higher [Cho]abs could signify glial proliferation which might in turn lead to deficits on executive function[3]. [1]Charlton et al., 2007,[2]Milham et al., 2000,[3]Russell et al., 2006.
Table 1 Mean absolute metabolite concentrations and the corresponding correlation with age (mM)
Mean
Correlation with age
[Cho]abs [Cr]abs [NAA]abs [ml]abs [Glx]abs
2.8660.63 15.6662.37 13.1161.82 7.4461.77 15.5562.71
r¼0.292 p¼ 0.084 r¼0.336 p¼0.045* r¼0.354 p¼0.034* r¼0.128 p¼0.458 r¼-0.006 p¼0.973
– [ [ – –
*, p-value <0.05; **, p-value <0.01; [ significant increase; -, no significant change; mM, millimolar.
Table 2 Results of behavioral performance and the corresponding correlation with age
Accuracy (%) Neutral Reaction time (ms) Incongruent Reaction time (ms) Congruent Reaction time (ms) Stroop effect (ms) Stroop interference (ms)
Mean
Correlation with age
94.567.8 0.5760.09 0.6260.09 0.5360.07 0.1060.05 0.0560.04
r¼-0.364 p¼0.029* r¼0.545 p¼0.001** r¼0.593** p<0.001** r¼0.455 p¼0.005** r¼0.432 p¼0.010* r¼-0.161 p¼ 0.348
Y [ [ [ [ -
*, p-value <0.05; **, p-value <0.01; [ significant increase; Y significant decrease; -, no significant change.
P1-433
THE INDEPENDENT EFFECT OF CEREBRAL MICROBLEEDS ON COGNITION
Anne Cristine Deocariza Guevarra1, Xu Cong Ruan2, Nagaendran Kandiah1,2, 1National Neuroscience Institute, Singapore, Singapore; 2Duke-NUS Graduate Medical School, Singapore, Singapore. Contact e-mail: [email protected] Background: The presence of small vessel disease (SVD) is associ-
Figure 2. Trial conditions shown in numerical Stroop Task.
ated with cognitive impairment. However, among the many components of SVD, the contribution of CMBs to cognitive impairment remain elusive. Methods: Our aim was to determine if cerebral microbleeds (CMBs) contribute to global and specific cognitive domains in addition to that contributed by other measures of small vessel disease burden in an Asian cohort. Subjects participating in a multimodal imaging study having a diagnosis of mild cognitive impairment (MCI), mild Alzheimer’s disease (AD) or healthy control (HC) were recruited. CMB were quantified on SWI images, while white matter hyperintensity (WMH) and lacunes were