Age-related changes in envelope-following responses at equalized peripheral or central activation

Age-related changes in envelope-following responses at equalized peripheral or central activation

Accepted Manuscript Age-related changes in envelope-following responses at equalized peripheral or central activation Jesyin Lai, Alexandra L. Sommer,...

527KB Sizes 1 Downloads 17 Views

Accepted Manuscript Age-related changes in envelope-following responses at equalized peripheral or central activation Jesyin Lai, Alexandra L. Sommer, Edward L. Bartlett PII:

S0197-4580(17)30209-9

DOI:

10.1016/j.neurobiolaging.2017.06.013

Reference:

NBA 9962

To appear in:

Neurobiology of Aging

Received Date: 6 November 2016 Revised Date:

18 June 2017

Accepted Date: 18 June 2017

Please cite this article as: Lai, J., Sommer, A.L., Bartlett, E.L., Age-related changes in envelopefollowing responses at equalized peripheral or central activation, Neurobiology of Aging (2017), doi: 10.1016/j.neurobiolaging.2017.06.013. 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.

ACCEPTED MANUSCRIPT

Age-related changes in envelope-following responses at equalized

RI PT

peripheral or central activation

Jesyin Laia , Alexandra L. Sommera , Edward L. Bartletta, b,* a

Department of Biological Sciences, Purdue University, West Lafayette, IN

b

SC

47906, USA

Weldon School of Biomedical Engineering, Purdue University, West Lafayette,

*

Corresponding Author:

Edward L. Bartlett

TE D

Purdue University

M AN U

IN 47906, USA

Weldon School of Biomedical Engineering 206 S. Martin Jischke Drive

EP

West Lafayette, IN 47907-2032

AC C

[email protected]

ACCEPTED MANUSCRIPT

Abstract

1

Previous work has debated about comparisons of hearing abilities

3

faced with alterations in hearing thresholds and evoked potentials be-

4

tween groups following acoustic trauma- or age-related changes. This

5

study compares envelope following responses (EFRs) of young and

6

aged rats when sound levels were matched according to (1) wave I

7

amplitudes of auditory brainstem responses (ABRs) elicited by 8 kHz

8

tones or (2) EFR amplitudes evoked by sinusoidally amplitude modu-

9

lated (SAM) tones at 100 % depth. Matched wave I amplitudes across

10

age corresponded to approximately 20 dB sound level differences. For

11

matched wave I, no age-related differences were observed in wave V am-

12

plitudes. However, EFRs recorded in quiet were enhanced with aging

13

at 100 % but not 25 % depth, consistent with enhanced central gain

14

in aging. For matched EFRs, there were no age-related differences

15

in EFRs of AM depth and AM frequency processing. These results

16

suggest novel, objective measures beyond threshold to compensate for

17

differences in auditory nerve activation and to differentiate peripheral

18

and central contributions of EFRs.

20

21

SC

M AN U

TE D

EP

AC C

19

RI PT

2

1

Introduction

Auditory temporal processing deficits can be due to age-related cochlear neuropathy [Bharadwaj et al., 2014, Sergeyenko et al., 2013], endocochlear

22

potential reduction following age-related changes in stria vascularis and di-

23

minished prestin activity [Buckiova et al., 2007, Bielefeld et al., 2008, Chen

24

et al., 2009] or imbalances in excitation versus inhibition in the central audi1

ACCEPTED MANUSCRIPT

tory pathway [Caspary et al., 2008]. These deficits exist in nearly all listen-

26

ers and proceed gradually throughout adulthood [Fitzgibbons and Gordon-

27

Salant, 2010, Snell and Frisina, 2000, Snell et al., 2002, Ruggles et al., 2012].

28

Early stages of a “normal” age-related auditory functional decline may include

29

relatively small threshold shifts, mainly at high frequencies, as well as reduc-

30

tions in wave I ABR amplitudes due to cochlear synaptopathy [Sergeyenko

31

et al., 2013]. Cochlear synaptopathy, which can be caused by aging even with

32

no history of noise exposure, is a phenomenon marked by disappearance of

33

synapses and cochlear-nerve terminals innervating the hair cell [Sergeyenko

34

et al., 2013, Viana et al., 2015]. Following synaptic loss, degeneration of

35

spiral ganglion cell bodies occurs after a delay of several months and the

36

whole process is termed cochlear neuropathy [Makary et al., 2011]. Cochlear

37

neuropathy results in a decrease in auditory nerve fiber (ANF) population

38

size, but does not significantly affect pure tone thresholds [Sergeyenko et al.,

39

2013]. Instead, precise coding of temporal fine-structure and envelope cues

40

of supra-threshold sounds are compromised in these older listeners with clini-

41

cally normal hearing thresholds (NHTs; ≤20 dB hearing level) [Ruggles et al.,

42

2012, Moore, 2016]. As this type of auditory disorder is found in listeners

43

with clinically normal audiogram, it has been described as "hidden hearing

45

46

SC

M AN U

TE D

EP

AC C

44

RI PT

25

loss" [Schaette and McAlpine, 2011]. Temporal cues, including temporal fine structure and envelope or ampli-

tude modulation (AM), as well as the depth of signal modulations can be

47

used by the auditory system for speech recognition and sound perception

48

in complex environments such as the presence of competing sounds, back-

49

ground noise and reverberated energy [Shannon et al., 1995, Zeng et al., 2

ACCEPTED MANUSCRIPT

2005, Snell and Frisina, 2000, Srinivasan and Zahorik, 2014]. Due to re-

51

duced temporal salience and resolution, listeners with temporal processing

52

deficits have perceptual difficulties in spatial sound localization, pitch cod-

53

ing, speech-on-speech as well as speech-in-noise masking release [Stellmack

54

et al., 2010, Jørgensen and Dau, 2011, Christiansen et al., 2013]. Many

55

behavioral studies reveal older listeners with NHTs have poor performance

56

on psychoacoustic tasks that heavily rely on temporal information in supra-

57

threshold sounds as well as speech-in-noise tests [Ruggles et al., 2012, Grose

58

and Mamo, 2010, Strelcyk and Dau, 2009, Frisina and Frisina, 1997, Strouse

59

et al., 1998, Dubno, 1984]. Moreover, brain responses to AM stimuli reflect-

60

ing reduced auditory temporal acuity in older subjects are also demonstrated

61

in evoked potential studies [Purcell et al., 2004, Parthasarathy and Bartlett,

62

2011, Parthasarathy and Bartlett, 2012, Boettcher et al., 2001]. Age-related

63

decline in temporal processing has also been reported in the auditory mid-

64

brain in some single-unit studies [Walton et al., 2002, Walton et al., 1998, Ra-

65

bang et al., 2012].

SC

M AN U

TE D

To assess auditory temporal processing, envelope-following responses (EFRs),

EP

66

RI PT

50

elicited by temporally modulated stimuli, are used because these responses

68

reflect how faithfully subcortical regions along the central auditory pathway

69

70

71

AC C

67

phase-lock to the envelope of an input signal [Cunningham et al., 2001, Aiken and Picton, 2008, Parthasarathy et al., 2010, Parthasarathy and Bartlett, 2011, Parthasarathy and Bartlett, 2012, Dolphin and Mountain, 1993]. The

72

primary generators of EFRs have shown to be the auditory brainstem and

73

midbrain [Herdman et al., 2002, Kuwada et al., 2002, Picton et al., 2003,

74

Chandrasekaran and Kraus, 2010, Parthasarathy and Bartlett, 2012]. Pur3

ACCEPTED MANUSCRIPT

cell et al. (2004) measured EFRs using temporally modulated sounds in

76

quiet and showed that EFRs are correlated with behavior in humans. Pur-

77

cell’s study used the same sound level in EFRs and psychoacoustic tasks

78

for young and aged subjects. The prevailing assumption is that larger EFR

79

amplitudes or speech-evoked ABR responses are correlated with better be-

80

havioral perception [Parthasarathy and Bartlett, 2011, Mamo et al., 2016].

RI PT

75

One major factor that may complicate interpretations is the sound level

82

at which stimuli are presented. In the past, most evoked potential studies

83

have presented sounds at equal levels [Boettcher et al., 2001, Purcell et al.,

84

2004, Clinard et al., 2010] or similar sensation levels [Parthasarathy et al.,

85

2010, Parthasarathy and Bartlett, 2011], meaning a similar amount above

86

an individual’s hearing threshold. However, equal levels do not account for

87

hearing threshold differences given the wide range of clinically normal hear-

88

ing. Equal sensation levels may not account for diminished auditory nerve

89

activation due to cochlear synaptopathy and/or neuropathy. In fact, cochlear

90

synaptopathy and neuropathy has added challenges to studies that compare

91

temporal coding in young and aged listeners because central effects are usu-

92

ally confounded and compounded by peripheral effects. A degradation in the

93

peripheral auditory system will definitely affect subsequent auditory process-

95

96

M AN U

TE D

EP

AC C

94

SC

81

ing in the central auditory system. As a result, without matching peripheral neural activation, a reduction in central neural responses would imply either a true degradation in central auditory processing independent of the periph-

97

eral auditory system or a decline originating from the peripheral auditory

98

system. To remove or reduce confounding effects from the auditory periph-

99

ery, there is a need to test out some other stimulus presenting methods which 4

ACCEPTED MANUSCRIPT

100

may allow more appropriate comparisons across age to be performed. In order to address this issue, we compared neural temporal coding of

102

young and aged Fischer-344 rats using stimulus intensities that matched ac-

103

cording to wave I amplitudes of ABRs or according to EFRs at different mod-

104

ulation frequencies. Sergeyenko et al. (2013) have shown that reductions in

105

auditory brainstem response (ABR) wave I amplitude indicate reduced ANFs

106

or decreased synaptic transmission between ANFs and inner hair cells (IHCs).

107

Hence, we attempted to equate peripheral activation by adjusting sound lev-

108

els in young animals to match to aged animals’ median tone 8 kHz ABR wave

109

I amplitudes at 85 dB pSPL. In addition to age-related changes in the audi-

110

tory periphery, gain of the central auditory system has also been reported to

111

increase to compensate for reduced ANF activation in aging [Parthasarathy

112

et al., 2014, Kotak and Sanes, 2003, Miko and Sanes, 2009]. Therefore, we

113

attempted to match central population activation by matching the young

114

EFRs to the median of the aged EFRs evoked by 100 % depth AM tones

115

at 85 dB SPL. Matching ABR wave I amplitudes should putatively match

116

AN activation and synchronization across age, which should enable better

117

comparisons of central auditory temporal responses. Meanwhile, matching

118

EFR amplitudes at 100 % AM depth may equate synchronization of central

120

121

SC

M AN U

TE D

EP

AC C

119

RI PT

101

neurons, which may aid in identifying whether population synchronization is robust to reduced salience of modulation, as well as demonstrating the extent of central gain relative to their peripheral activation.

122

As the envelope and AM depth of a sound are crucially relevant to speech

123

perception [Krause and Braida, 2009] and neural temporal coding, we utilized

124

sinusoidal AM (SAM) tones at various AM frequencies (AMFs) and at various 5

ACCEPTED MANUSCRIPT

125

AM depths in this study.

126

2

127

2.1

128

Young (3-6 months, 13 male and 5 female) and aged (21-24 months, 14

129

male and 9 female) Fischer-344 rats obtained from Taconic were used. The

130

numbers of animals that were used in each recording session were mentioned

131

in each respective figure legend in the results. All animals were housed in

132

the animal care facility during the period of this study in a relatively quiet

133

and standard condition. All protocols were approved by the Purdue Animal

134

Care and Use Committee (PACUC-1111000167).

135

2.2

136

The experimental protocols used for ABR and EFR recordings were similar

137

to previously described details in Lai and Bartlett (2015), and Parthasarathy

138

and Bartlett (2012). All auditory evoked potential recordings were performed

139

in a 9’x9’ double-walled anechoic chamber (Industrial Acoustic Corporation).

141

142

RI PT

TE D

M AN U

SC

Subjects

EP

Experimental procedures

AC C

140

Materials and Methods

The animals were anesthetized with isofluorane at 4 % initially. While maintaining the animals under 1.5-2 % isofluorane, subdermal needle electrodes (Ambu) were placed on the animals’ scalps in a two-channel configuration.

143

For channel 1, a positive electrode was placed along the midline of the fore-

144

head in the Cz to Fz position. For channel 2, another positive electrode was

145

placed horizontally along the interaural line, which is above the location of

6

ACCEPTED MANUSCRIPT

the inferior colliculus. For both channels, the negative electrode was placed

147

under the ipsilateral ear, along the mastoid, while the ground electrode was

148

placed in the nape of the neck. Electrode impedance was confirmed to be less

149

than 3 kΩ as tested using a low-impedance amplifier (RA4LI, Tucker Davis

150

Technologies or TDT). Before removing from anesthesia, the animals were in-

151

jected (intramuscular) with dexmedetomidine (Dexdomitor, 0.2 mg/kg), an

152

α-adrenergic agonist acting as a sedative and an analgesic. After a 15-minute

153

waiting period for the effect of the anesthesia to wear off, the animals were

154

maintained in an unanesthetized condition, where they still had a foot pinch

155

response but were immobile and relaxed for 2.5-3 hours during recording.

M AN U

SC

RI PT

146

All stimuli were presented free-field to the right ear of the animal at a

157

distance of 115 cm from the speaker. The speaker was calibrated using a

158

Bruel Kjaer microphone placing at the same distance and SigCal software

159

(TDT). Stimuli were generated using SigGenRP (TDT) at a 100-kHz sam-

160

pling rate. Stimulus presentation and response acquisition were conducted

161

using BioSig software (TDT). Waveforms were converted to sounds and deliv-

162

ered through a multichannel processor (RX6, TDT) via a Bower and Wilkins

163

DM601 speaker. Digitized response waveforms were recorded with a multi-

164

channel recording and stimulation system (Rz5, TDT). Responses were ana-

EP

AC C

165

TE D

156

lyzed with BioSig or custom written program in MATLAB (MathWorks).

7

ACCEPTED MANUSCRIPT

166

2.3

167

2.3.1

168

Tone 8 kHz ABRs were recorded using brief 8 kHz pure tones of 2 ms duration

169

(0.5 ms cos2 rise/fall time), alternating polarity and presenting at 26.6/sec.

170

The acquisition window was set to 30 ms and each ABR was acquired as an

171

average of 1500 repetitions. Stimulus intensity of the pure tone was decreased

172

from 95 dB pSPL to 15 dB pSPL in 5-dB steps. This enabled us to obtain

173

the animal’s hearing threshold at 8 kHz as well as the magnitude of wave I at

174

each sound level, which was used as an indicator for the amount of activated

175

ANFs. The median of tone 8 kHz ABR wave I amplitudes at 85 dB pSPL

176

from aged animals was calculated and used for stimulus intensity matching

177

of peripheral activation in young animals in subsequent EFR recordings.

178

2.3.2

179

SAM stimuli with a carrier frequency of 8 kHz and 200 ms duration (5 ms

180

cos2 rise/fall time) were used as stimuli to elicit EFRs. The carrier frequency

181

was chosen to be near the most sensitive regions of the rat’s audiogram where

182

fewer age-related threshold changes in that frequency’s threshold have been

184

185

TE D

M AN U

SC

RI PT

Matching of peripheral activation

EP

Matching of central activation

AC C

183

Auditory stimuli

observed [Parthasarathy et al., 2014]. Stimuli were presented at a rate of 3.1/sec and each EFR response was acquired as an average of 200 repetitions using an acquisition window of 300 ms. SAM stimuli modulated at 100 %

186

depth at 45, 128 and 256 Hz were presented at 85 dB SPL to all aged animals

187

to obtain a median EFR magnitude for each AMF. In young animals, SAM

188

stimuli at each AMF were presented from 60 to 85 dB SPL in 5-dB steps. We 8

ACCEPTED MANUSCRIPT

found that this level range was appropriate to identify sound intensities for

190

matching EFR amplitude. Young animals’ EFR magnitudes of each AMF at

191

each sound level were estimated and were then used to determine stimulus

192

intensity that matched to central activation of aged animals in subsequent

193

recordings.

194

2.3.3

195

Stimulus intensities were fixed at 85 dB SPL for all stimuli when presented

196

to aged animals. In young animals, however, lower stimulus intensities were

197

used. To equate peripheral activation, sound levels were selected based on

198

tone 8 kHz ABR wave I amplitudes that were closest to aged animals’ median

199

wave I amplitudes at 85 dB pSPL. To equate central activation, sound levels

200

were determined based on EFR magnitudes (evoked by each AMF at 100 %

201

depth) that were closest to aged animals’ median EFR magnitudes at 85 dB

202

SPL.

RI PT

189

TE D

M AN U

SC

Stimuli used for EFRs

The AM depths of the same SAM stimuli (45, 128 and 256 Hz) were varied

204

in the following steps: 0 dB (100 %), -2.5 dB (75 %), -6 dB (50 %), -12 dB

205

(25 %), -18 dB (12.5 %), -24 dB (6.25 %) and -30 dB (3.125 %). In addition,

206

at 100 % or 25 % AM depth, the AMF was systematically increased from

208

209

AC C

207

EP

203

16 to 2048 Hz in 0.5-octave steps to yield the temporal modulation transfer function (tMTF). The Q10 at an 8 kHz center frequency channel is estimated to be approximately 5-6 in young rats. This estimation was extrapolated

210

from the Q10 measured at 1-4 kHz by Moller (1977) [Moller, 1977]. Due to

211

widening of the auditory filter, Q10 s of aged animals are generally smaller

212

than young animals. Therefore, modulation frequencies below 667 Hz [8000 9

ACCEPTED MANUSCRIPT

Hz/6)/2] should produce unresolved components in young animals, even at

214

10 dB above threshold. At 30 dB or so above threshold, where most of the

215

sounds are played in this study, it is likely that AMFs up to 1024 Hz are

216

unresolved in young and aged rats.

217

2.4

218

2.4.1

219

ABR waveforms were high-pass filtered at 30 Hz and low-pass filtered at

220

3000 Hz. ABR wave amplitudes of wave I and V were measured using BioSig

221

software (TDT) by placing a cursor at the average of the noise floor and

222

another cursor at the peak of the wave. The difference between the two

223

cursors indicated the wave amplitude.

224

2.4.2

225

All collected EFRs were low-pass filtered at 3000 Hz. EFRs were also high-

226

pass filtered at a frequency below the AMF for the slower AMFs (e.g. 30 Hz

227

for 45 Hz AM stimuli) and at 80 Hz for AMFs faster than 90 Hz. Filtered

228

data were then exported as text files and analyzed using custom written

230

231

SC

Data analysis

TE D

M AN U

ABR wave amplitude measurements

EP

EFR magnitude measurements

AC C

229

RI PT

213

MATLAB programs. Fast Fourier transforms (FFTs) were performed on the time-domain waveform from 10 to 190 ms relative to stimulus onset to exclude transient ABRs at the beginning. The maximum magnitude of the

232

evoked response at one of the three frequency bins (3 Hz/bin) around AMF

233

was measured as the peak FFT amplitude. The noise floor was calculated

234

as the average magnitude of five frequency bins above and below the central

10

ACCEPTED MANUSCRIPT

three bins. A peak response was taken to be significantly above noise level

236

if the FFT amplitude was at least 6 dB above the noise floor for the slower

237

AMFs and at least 10 dB above the noise floor for AMFs faster than 64 Hz,

238

where the noise floor is lower.

239

2.5

240

Non-parametric rank-sum tests were used to compare ABR or EFR ampli-

241

tudes between young and aged animals because the distributions of the aged

242

amplitudes may not be normally distributed. Repeated measures ANOVAs

243

(rmANOVAs) were performed to compare FFT amplitudes of young and aged

244

groups as well as across different stimulus conditions using custom written

245

scripts in SAS (Proc MIXED, SAS Institute, Cary, NC, USA). Main effects

246

and interaction effects of each factor were analyzed based on comparisons

247

of least squares (LS) means. Data distributions were checked for normality

248

using normal probability plots of the residuals (proc UNIVARIATE). The

249

differences in LS means with a confidence level of 95 % were used when re-

250

porting significant differences. LS means +/- standard error of mean are

251

shown in the figures.

RI PT

235

AC C

EP

TE D

M AN U

SC

Statistical analysis

11

ACCEPTED MANUSCRIPT

RI PT

Matching Mean sound level dB SP (S.E.M.) Peripheral activation 66.3 (1.33), N = 17 (ABR wave I amp.) 45 Hz: 71.0 (1.39), N = 15 Central activation 128 Hz: 68.3 (1.18), N = 9 (EFR amp.) 256 Hz: 69.9 (1.34), N = 18

3

253

3.1

254

Results

M AN U

252

SC

Table 1: Sound levels used for central matching in the young were slightly higher than those used for peripheral matching according to the protocol. Mean sound levels presented to the young for matched peripheral and central activation are reported in the table. Standard errors of means (S.E.M.) are shown in parentheses.

Equivalent peripheral and central activation protocol

The average ABR thresholds for clicks were 50.1 +/- 2.1 dB SPL in the

256

aged and 28.7 +/- 1.6 dB SPL in the young. For 8 kHz tone ABRs, the

257

average thresholds were 39.5 +/- 1.5 dB SPL in the aged and 23 +/- 1.3

258

dB SPL in the young. The thresholds of click ABRs were 10.89 +/- 1.48

259

dB and 5.96 +/- 0.98 dB significantly higher than tone 8 kHz ABRs in

260

aged and young animals, respectively. F344 rats have the most sensitive

262

263

EP

AC C

261

TE D

255

hearing regions at 6-16 kHz, and the current 8 kHz threshold differences are slightly larger than previously reported [Parthasarathy et al., 2014]. All the stimulus intensities used in aged animals were fixed at 85 dB SPL, which

264

is typically near the peak EFR amplitude for aged animals [Parthasarathy

265

et al., 2014]. Table 1 shows the means of the sound levels that were used in

266

the young for equivalent peripheral or central activation, respectively. For 12

ACCEPTED MANUSCRIPT

central matching, the young sound levels were matched specifically for each

268

AMF (45, 128 or 256 Hz) at 100 % modulation depth. A rmANOVA showed

269

that sound intensities for peripheral matching were significantly lower than

270

sound intensities for central matching at 45 (t=3.15, p < 0.05) and 256 Hz

271

(t=3.15, p < 0.05) AMFs, respectively.

RI PT

267

Figure 1a shows the distributions of tone 8 kHz ABR wave I amplitudes

273

that were used for matching of peripheral activation in young and aged ani-

274

mals. Figures 1b-d are scatter plots showing EFR amplitudes at each AMF

275

which were elicited following tone 8 kHz ABR wave I amplitude match-

276

ing. Although the medians of young and aged animals were matched, there

277

was a wider range in aged animals. For aged animals, correlations between

278

ABR wave I amplitudes and EFR amplitudes were significant for 256 Hz and

279

marginally significant for 128 Hz. For young animals, correlations between

280

ABR wave I amplitudes and EFR amplitudes were not observed for any of

281

the tested SAM because EFR amplitudes of the young were selected to be

282

close (within 1 +/- SD) to the aged median. Again, EFR amplitudes of the

283

aged were found to be varied more than the young. ABR wave V amplitudes

284

and wave V/wave I ratios were also measured in all animals at matched pe-

285

ripheral activation. The histograms of wave V amplitudes or wave V/wave

287

288

289

M AN U

TE D

EP

AC C

286

SC

272

I ratios for the two age groups are shown in Fig. 2. The young histograms had a narrower spread than the aged histograms. However, there were no significant age-related differences in wave V amplitudes and wave V/wave I ratios according to the results of a non-parametric rank-sum test.

290

Figures 3a-c are the histograms showing EFR amplitudes, at each tested

291

AMF, of young and aged animals that were used for matched central activa13

ACCEPTED MANUSCRIPT

tion. Although the spreads of the histograms of the young and the aged were

293

not completely overlapping, there were no significant age-related differences

294

using non-parametric rank-sum tests. The scatter plots of EFR amplitude

295

vs. ABR wave I amplitude at matched central activation for each AMF were

296

plotted in Figures 3d-f. The correlations between ABR wave I amplitudes

297

and EFR amplitudes were significant for 256 Hz and marginally significant

298

for 128 Hz in aged animals. The variations of the young ABR wave I ampli-

299

tudes at each AMF were larger because wave I amplitudes were not matched

300

when central activation was equated.

301

3.2

302

When EFR amplitudes were recorded at sound levels that evoked maxi-

303

mal EFRs, there were significant age-related differences at larger modulation

304

depths for 128 and 256 Hz AMFs [Parthasarathy and Bartlett, 2012]. The

305

sound levels used, however, could synchronize different amount of neurons

306

peripherally or centrally. Therefore, AM depth processing was compared at

307

matched neural activation to test the existences of age-related differences

308

at a "fairer" condition. SAM tones at 45, 128 or 256 Hz with modulation

309

depths from -30 dB (3.125 %) to 0 dB (100 %) were presented to young and

311

312

SC

M AN U

EP

TE D

Temporal processing of AM depth and AM frequency

AC C

310

RI PT

292

aged animals at matched peripheral or central activation. EFR amplitudes as a function of modulation depth were plotted in Figure 4 for the modulation frequencies tested. Almost no significant age-related differences were

313

observed at the tested SAM frequencies and modulation depths, except 256

314

Hz SAM tone at -2.5 dB (75 %) depth for matched peripheral activation.

14

ACCEPTED MANUSCRIPT

a

3

Young Aged Young Median Aged Median

10

5

b 45 Hz SAM (N(Y) = 15; N(A) = 21)

2.5 2

r(Y) = 0.40; p(Y) = 0.14 r(A) = 0.24; p(A) = 0.30

1.5 1

0.5

0.4

0.6 0.8 1.0 Amplitude (uV)

1.2

0

0.4

0.6 0.8 1.0 1.2 ABR wave I amplitude (uV)

d 1.8 256 Hz SAM (N(Y) = 17; N(A) = 21) 1.6

M AN U

EFR amplitude (mV)

c 1.4 128 Hz SAM (N(Y) = 9; N(A) = 10)

1.4

SC

0 0.2

Young Aged

RI PT

Animal number

Matched ABR wave I amplitudes

EFR amplitude (mV)

15

1.2

1.4

1.0

r(Y) = 0.17; p(Y) = 0.51 r(A) = 0.65; p(A) = 0.001

1.2 1

0.8

0.8

0.6

0.6 r(Y) = 0.32; p(Y) = 0.40 0.4 r(A) = 0.63; p(A) = 0.05

0.4

0.8

1.0

1.2 0.4 ABR wave I amplitude (uV)

TE D

0.6

0.6

0.8

1.0

1.2

AC C

EP

Figure 1: Tone 8 kHz ABR wave I amplitudes of young animals were matched to the median of aged animals’ amplitudes to equate neural excitation in the auditory periphery. (a) Histograms of tone 8 kHz ABR wave I amplitudes of all young (red solid bars) and aged (white bars) animals show that the range of the younger amplitudes was narrower and their median was close to the aged median. Scatter plots of each individual animal’s EFR amplitude to (b) 45, (c) 128, or (d) 256 Hz at matched ABR wave I amplitude also show that variation was larger in aged animals. In the scatter plots, N denotes number of animals, Y denotes the young, A denotes the aged, r indicates correlation coefficient, and p indicates p-value.

315

Statistical analysis using rmANOVA revealed no significant main effect of

316

age or type of matching. There was only a significant main effect of AM

317

depth, which was unsurprising. This implies that young and aged animals

15

ACCEPTED MANUSCRIPT

a. Wave V amplitudes

b. Wave V/wave I ratios 10

7

Young (N=18) Aged (N= 27) Young Median Aged Median

8

4

6

3

4

RI PT

5

2 2

1 0

0.4 0.6 0.8 1 1.2 ABR wave V amplitude (uV)

0.4

SC

Animal number

6

0.8 1.2 1.6 wave V/wave I ratio

2

M AN U

Figure 2: Wave V amplitude and wave V/wave I ratio histograms of the young (red bars) had a narrower spread, but the aged histograms (white bars) were more right-skewed with a longer tail. Statistical comparison showed no significant age-related differences in tone 8 kHz ABR wave V amplitudes and wave V/wave I ratios at matched peripheral activation. have similar auditory processing in quiet using sound levels that matched

319

central or peripheral activation.

TE D

318

Table 2 shows the mean modulation depth neurometric thresholds (in dB

321

re:100% modulation) of the young and aged EFRs for AM depth processing.

322

Two separate rmANOVAs were performed on the aged vs. the young at

323

matched wave I and the aged vs. the young at matched EFRs. The AMF

324

effect was significant for matched wave I (F = 22.1, p < 0.05) and matched

326

327

328

329

AC C

325

EP

320

EFRs (F = 26.11, p < 0.05). The age effect was only significant for matched wave I (F = 5.54, p < 0.05). Statistical analysis of differences of LS means only shows significance for thresholds of the aged vs. the young at matched wave I for 128 Hz AM (t = -2.23, p < 0.05). EFRs of tMTF at 100 % AM depth, for matched wave I amplitude (pe-

16

ACCEPTED MANUSCRIPT

b 128 Hz

a 45 Hz

c 256 Hz

8

12

Young Aged Young Median Aged Median

4

8 6 2 4

2 2

0

0. 5

1

1. 5

0

2.5

2

0.2

0.4

0.8

0.6

1.6

1.0 1.2 1.4

0

EFR amplitude (mV) d

r(Y) = 0.27; p(Y) = 0.34 r(A) = 0.24; p(A) = 0.30

1.2

2

1.0

1.6

0.8 0.6

1.2

1.6 r(Y) = -0.3; p(Y) = 0.47 r(A) = 0.63; p(A) = 0.05

1.2

1.4

1.6

256 Hz SAM (N(Y) = 18; N(A) = 21)

128 Hz SAM (N(Y) = 9; N(A) = 10) 1.4

1

r(Y) = -0.03; p(Y) = 0.91 r(A) = 0.65; p(A) = 0.001

SC

Young Aged

0. 4 0. 6 0. 8

1.4 1.2 1.0

0.8

M AN U

EFR amplitude (mV)

2.4

f

e 45 Hz SAM (N(Y) = 15; N(A) = 21)

RI PT

Animal number

10

4

6

0.6

0.4

0.8

0.4

0.2

0.4

0.6

0.8

1.0 1.2 1.4

1.6 1.8

0. 5 0. 6 0. 7 0.8 0.9

1

1.1

1. 2 1. 3

0.4

0.6

0.8

1

1.2

ABR wave I amplitude (uV)

TE D

Figure 3: In order to equate neural activation in the central auditory system, EFR amplitudes to either (a) 45, (b) 128 or (c) 256 Hz of young animals were matched to those of aged animals. The medians of aged animals were used as references in the neural activation matching protocol. ripheral activation), showed a significant increase in amplitudes in aged ani-

331

mals especially at lower SAM frequencies (16-90 Hz; Fig. 5a). This observa-

332

tion agrees with our previous findings of an increase in central gain in aged

333

animals to compensate for diminished AN activities in the auditory periph-

335

336

AC C

334

EP

330

ery [Parthasarathy et al., 2014]. When the young EFRs at 85 dB SPL were compared to the aged EFRs at 85 dB SPL, their EFRs at 45 Hz were close to each other but EFRs at 128 and 256 Hz were higher in the young suggesting

337

reduced EFRs in the aged at higher AMFs at equal sound level. However, the

338

phenomenon of increased central gain in aged animals was not observed in

339

EFRs of tMTF at 25 % AM depth (Fig. 5b). For matched EFR amplitudes 17

ACCEPTED MANUSCRIPT

b

a EFR amplitude (mV)

1.0 0.9

0.9

SAM 45 Hz

0.8

Aged 85 dB SPL (N=11) Young matched ABR wave I amp (N=8) Young matched EFR amp (N=10)

0.7

c 1

SAM 128 Hz Aged 85 dB SPL (N=10) Young matched ABR wave I amp (N=8) Young matched EFR amp (N=9)

0.8

depth threshold

0.6

0.6

0.5

0.5

0.6

0.4

0.5

0.3

0.4

0.2

0.4 0.3 0.2

−30

−25

−20

Aged 85 dB SPL (N=10) Young matched ABR wave I amp (N=10) Young matched EFR amp (N=11)

0.7

0.7

0.8

SAM 256 Hz

0.9

−15

−10

−5

0

Depth (dB)

0.1

−30

−25

−20

−15

−10

Depth (dB)

−5

0

RI PT

1.1

*

−30

−25

−20

−15

−10

−5

0

Depth (dB)

Animals Aged Young - Wave I matched Young - EFR matched

M AN U

SC

Figure 4: Minimal age-related differences in EFR amplitudes elicited by SAM tones presented in quiet at equivalent central or peripheral activation. Similar results were observed in EFR amplitudes to SAM stimuli at (a) 45, (b) 128 and (c) 256 Hz AM as a function of modulation depth. The asterisk indicates p < 0.05 for the young matched wave I vs. the aged using least squares means comparison from rmANOVA. 45 Hz AM -11.75 (1.91) -8.12 (1.81) -8.74 (2.29)

128 Hz AM -17.47 (3.06) -10.67 (1.97) -13.21 (1.75)

256 Hz AM -23.42 (1.93) -18.67 (1.56) -20.46 (1.51)

TE D

Table 2: Mean modulation depth neurometric thresholds (in dB) based on EFR amplitudes show trends of lower thresholds in the aged than the young at equivalent peripheral and central activation. Thresholds were determined at the cut-off of 6 dB (45 Hz) or 10 dB (128 and 256 Hz) above noise floor for the specific FFT peak. Standard errors of means are shown in parentheses. (central activation), a slight elevation of EFR amplitudes in young animals

341

was observed at 90 to 181 Hz SAM frequencies but no significant age-related

342

differences were observed. For tMTF at 100 % AM depth, significant main

344

345

AC C

343

EP

340

effects of Age (F = 6.02, p < 0.05) and SAM Frequency (F = 48.53, p < 0.0001) as well as Age*SAM Frequency interaction (F = 2.20, p < 0.05) effect were observed.

18

ACCEPTED MANUSCRIPT

b tMTF 25 % modulation depth

Aged 85 dB SPL (N=10) Young matched ABR wave I amp (N=8) 1.8 Young 85 dB SPL (N= 8) 1.6 Young matched EFR amp (N=8)

1.2 1 0.8 0.6 0.4 * * *

10

0.2

* *

100 1000 Modulation Frequency (Hz)

10

# *

RI PT

Aged 85 dB SPL (N=10) Young matched ABR wave I amp (N=8) Young matched EFR amp (N=9)

1.4

100 1000 Modulation Frequency (Hz)

SC

EFR amplitude (mV)

a tMTF 100 % modulation depth 2 1. 8 1. 6 1.4 1. 2 1 0.8 0.6 0.4 0.2

4

347

4.1

349

350

351

Matching protocol for auditory evoked potential recordings

AC C

348

Discussion

EP

346

TE D

M AN U

Figure 5: EFR amplitudes to SAM stimuli with lower AM frequencies (16-90 Hz) at 100 % depth were larger in aged animals than in young animals, even when peripheral activation was matched, but not at 25 %, . EFRs of temporal modulation transfer function (tMTF) with SAM frequencies of 16-2048 Hz at either (a)100 % or (b)25 % modulation depth. The asterisks indicate p < 0.05 for the young peripheral matching vs. the aged while the pound sign indicates p < 0.05 for the young central matching vs. the aged. Statistically significant differences were obtained using least squares means comparison from rmANOVA.

In this study, we investigated age-related changes of EFRs elicited by SAM tones at equivalent peripheral or central neural activation. As recent evidence has demonstrated that listeners with cochlear synaptopthy and/or

352

neuropathy have NHTs but degraded temporal coding of supra-threshold

353

sounds [Bharadwaj et al., 2014], it has become clear that simply compensat-

354

ing hearing threshold shift or ensuring similar audiograms in young and aged

19

ACCEPTED MANUSCRIPT

listeners is not sufficient. Furthermore, the 20 dB range of clinically normal

356

hearing can permit a wide range of audibility in human studies. However,

357

to our knowledge, no studies have attempted to compare across age based

358

on comparable physiological responses. To account for cochlear synaptopa-

359

thy and neuropathy as well as age-related changes in hearing sensitivity, we

360

attempted to equate peripheral neural activation by matching ABR wave

361

I amplitudes in young and aged animals. ABR wave I amplitudes reflect

362

a combined measure of the number of activated ANFs and their synchrony

363

[Rowe, 1981, Chen and Chen, 1991]. Previous studies in rodents and mam-

364

mals also implied that ABR wave I amplitude was correlated with the number

365

of surviving ANFs and IHC-ANF synapses [Kujawa and Liberman, 2009, Lin

366

et al., 2011]. Speech perceptual ability in noise has been found to correlate

367

with ABR wave I amplitude as well [Bramhall et al., 2015]. In the auditory

368

periphery, cochlear filter shapes and frequency specificity could be different

369

between young and aged animals [May et al., 2006, Ananthakrishnan et al.,

370

2016, Lai and Bartlett, 2015].

TE D

M AN U

SC

RI PT

355

The sound levels that we were using for young animals were ∼ 43 dB

372

on average above the young mean 8 kHz hearing threshold (∼ 23 dB SPL).

373

For aged animals, the sound level was ∼ 46 dB above the aged mean 8 kHz

375

376

AC C

374

EP

371

hearing threshold (∼ 39.5 dB SPL). The filter shapes of auditory neurons at 8 kHz for young and aged animals were estimated using an auditory nerve model [Parthasarathy et al., 2016] in order to calculate the Q-values. The es-

377

timated Q-values at the tested mean sound levels were about 1.12 and 0.61 for

378

young and aged animals, respectively(data not shown). The low-frequency

379

boundaries of the young and aged filters are rather similar and the difference 20

ACCEPTED MANUSCRIPT

in Q-values was due more to an upward shift in hearing threshold. There-

381

fore, the region of basilar membrane excited in order to achieve comparable

382

wave I amplitudes was larger with aging, which may partially compensate for

383

the loss of IHC-AN synapses. It also suggests that at these supra-threshold

384

levels, auditory neurons above the carrier frequency will provide a greater

385

proportional contribution in aged animals. Therefore, the effects of high fre-

386

quency hearing loss will extend to lower frequency carriers at moderate to

387

high sound levels.

SC

RI PT

380

In addition, our previous work and other studies have shown that central

389

auditory neurons may adjust their gain in aged animals to compensate for di-

390

minished AN input [Parthasarathy et al., 2014, Kotak and Sanes, 2003, Miko

391

and Sanes, 2009]. Hence, to account for age-related differences in central

392

gain, we attempted to equate central neural activation in a separate test by

393

matching EFR amplitudes in young and aged animals. As EFR amplitude

394

reflects the faithfulness of populations of neurons in the auditory brainstem

395

and midbrain in encoding and phase-locking to the modulation envelope of

396

complex sounds [Picton et al., 2003, Cunningham et al., 2001, Aiken and Pic-

397

ton, 2008, Clinard et al., 2010, Parthasarathy and Bartlett, 2011], matching

398

EFR amplitudes should produce comparable central activation across age.

400

401

TE D

EP

AC C

399

M AN U

388

In young animals, the sound levels used for matching peripheral activation

were similar to the sound levels used for matching central activation. Table 1 shows that mean sound level for peripheral matching was generally lower

402

than mean sound levels of all the three tested AMFs for central matching.

403

Differences in sound level were statistically significant when comparing sound

404

levels for peripheral matching to those for central matching at 45 Hz AMF. 21

ACCEPTED MANUSCRIPT

This suggests that matching of central activation can be achieved with smaller

406

reduction in sound intensities compared to equivalent peripheral activation.

407

This 3-5 dB difference potentially represents the degree of enhanced gain in

408

this population of older animals, since a slightly larger wave I amplitude and

409

sound level was needed to evoke the same EFR response in younger animals,

410

consistent with previous findings [Parthasarathy et al., 2014]. The enhanced

411

gain with aging, however, does not fully restore central activation, since peak

412

EFR amplitudes in older animals are smaller than those in younger animals.

413

4.2

414

Beyond reduced audibility and declined cognitive function in aging, speech

415

intelligibility is very likely to be affected by age-related changes in temporal

416

processing [Gordonsalant and Fitzgibbons, 1993, Snell, 1997, Strouse et al.,

417

1998, Fullgrabe et al., 2015]. Temporal resolution has proven to be vital for

418

precise speech understanding in quiet as well as in challenging listening con-

419

ditions [Dubno et al., 2003, Drullman, 1995]. Temporal processing deficits

420

have been associated with reduced identification of words and sentences pre-

421

sented in steady-state and modulated noise [Gordonsalant and Fitzgibbons,

422

1993, Helfer and Vargo, 2009]. Therefore, more stringent conditions, for ex-

424

425

426

427

SC

M AN U

EP

TE D

Temporal processing of AM depth and AM frequency

AC C

423

RI PT

405

ample, compensating for shifts in hearing thresholds or ANF loss, addition of noise, etc., should be applied in aging studies of auditory processing. We believe that this may aid in teasing apart the central and the peripheral effects in age-related changes of auditory temporal processing. Our findings in SAM depth processing (Fig. 4) and modulation frequency

22

ACCEPTED MANUSCRIPT

processing at 25 % modulation depth (Fig. 5b) showed minimal EFR am-

429

plitude differences in young and aged animals for both equivalent peripheral

430

and central activation. For SAM depth processing, there was no age effect

431

for the tested SAM frequencies (45, 128 and 256 Hz). This suggests that the

432

population-level synchrony in midbrain declines with depth similarly across

433

age. For SAM frequency processing, aged animals had higher EFR ampli-

434

tudes at 100 % modulation depth than the young at matched ABR wave I

435

amplitude at AMFs of 16-90 Hz (Fig. 5a) as well as an overall main effect

436

of age across the tMTF. This is consistent with our previous finding which

437

suggested age-related changes in gain mechanisms in the the relationship be-

438

tween ABRs and EFRs [Parthasarathy et al., 2014]. At higher AMFs (≥ 90

439

Hz), the aged EFRs tended to be higher than the young EFRs although the

440

aged EFRs at 85 dB SPL were lower than the young EFRs at 85 dB SPL

441

(Fig. 5a). This is consistent with a previous study showing enhanced speech

442

sound-evoked magnetic fields (the middle-latency P1m wave and the long-

443

latency N1m) in older normal-hearing human subjects, suggesting age-related

444

changes during healthy aging due to experience-related neuroplasticity [Soros

445

et al., 2009]. However, age-related increases in EFRs were not observed when

446

the modulation depths of SAM stimuli reduced to 25 % (Fig. 5b). This sug-

448

449

SC

M AN U

TE D

EP

AC C

447

RI PT

428

gests that the compensatory mechanisms are not robust to reductions in the salience of temporal cues. Overall, similar EFRs in young and aged animals for AM depth processing and AMF processing at 25 % modulation depth

450

are analogous to other findings that older listeners have auditory processing

451

comparable to young listeners in ideal listening conditions [Ruggles et al.,

452

2012, Gordonsalant and Fitzgibbons, 1993, Snell and Frisina, 2000, Yonan 23

ACCEPTED MANUSCRIPT

453

and Sommers, 2000]. Comparison of tone 8 kHz ABR Wave V amplitudes between aged and

455

young animals at equal peripheral activation (Fig. 2) did not produce sta-

456

tistically significant differences, although the aged distribution is more right-

457

skewed and has a longer tail than the young. These results suggest that

458

onset transients evoked by the brief 2 ms tone pips are comparable in young

459

and aged animals, whereas gain enhancement appears to occur for sustained

460

modulated stimuli measured by EFRs. Previous work from our lab has shown

461

that stimuli with rapid onsets were not significantly different in aged animals

462

[Parthasarathy and Bartlett, 2011].

M AN U

SC

RI PT

454

On the other hand, increased EFR amplitudes at matched peripheral acti-

464

vation that we observed in the aged could also be due to intact low-frequency

465

cochlear filters in aged animals but impaired high-frequency cochlear filters.

466

Their high-frequency impairment could potentially lead to lower EFRs at

467

high AMFs which then matches the young EFRs. However, additional em-

468

pirical measurements on the cochlear filters of young and aged animals would

469

be required to test the validity of this hypothesis.

470

4.2.1

472

473

EP

Aging, synaptopathy, and central gain

AC C

471

TE D

463

To further explore the relationship of aging, synaptopathy and central gain, correlations of tone ABR wave V amplitudes versus EFR amplitudes (at AMFs of 45, 128, or 256 Hz) were measured at matched wave I amplitudes

474

(Fig. 6). For AMF of 45 Hz, correlations were not significant in either

475

young or aged animals. Contributions from the auditory cortex may be in-

476

volved at 45 Hz AMF as well as lower AMFs that could decorrelate the two 24

ACCEPTED MANUSCRIPT

3

b

×10 -3

1.4 ×10

SAM 45 Hz

c

-3

1.8 ×10

SAM 128 Hz

1.4

1.0

1.2 1

0.8

1

0.6

0.5

0.4

0

0.2

0.4 0.6 0.8 1 1.2 ABR wave V amplitude (uV) r(Y)=-0.066 ; p(Y)=0.816 r(A)=0.410 ; p(A)=0.081

0.8 0.6 Young Aged

0.4

0.2 0.6 0.7 0.8 0.9 1 1.1 1.2 1.3 ABR wave V amplitude (uV) r(Y)=0.683 ; p(Y)=0.062 r(A)=0.757 ; p(A)=0.018

0.4 0.5 0.6 0.7 0.8 0.9 1 1.1 1. 2 1.3 ABR wave V amplitude (uV) r(Y)=0.321 ; p(Y)=0.210 r(A)=0.662 ; p(A)=0.002

SC

FFT amplitude

2.5

1.5

SAM 256 Hz

1.6

1.2

2

-3

RI PT

a

TE D

M AN U

Figure 6: Correlations of ABR wave V and EFR amplitudes were only significant in aged animals at 128 and 256 Hz AM frequencies. Correlations were not significant in young animals for either 45, 128 or 256 Hz AM frequencies. Both ABRs and EFRs were recorded at 85 dB SPL in aged animals whereas various sound levels were used in young animals based on wave I matching. The correlation coefficients (r) and the corresponding p-values (p) are shown below the plots. Y (red dots) denotes the young and A (blue dots) denotes the aged. measures [Joris et al., 2004, Coffey et al., 2016, Coffey et al., 2017]. For

478

AMFs of 128 and 256 Hz, correlations of ABR wave V amplitudes versus

479

EFR amplitudes were significant in the aged but not in young animals. This

480

suggests that EFRs in aged animals may be measuring a simpler relay of

481

brainstem inputs through the inferior colliculus, whereas young animals may

483

484

485

AC C

482

EP

477

transform their inputs more significantly, potentially via stronger inhibition, altered inferior colliculus neuron properties, or more complex network activities [Parthasarathy et al., 2014, Caspary et al., 2008, Burianova et al., 2009, Godfrey et al., 2017].

486

We have investigated a method that allows animals to be compared across

487

groups by enforcing comparable measures of supra-threshold peripheral ac-

25

ACCEPTED MANUSCRIPT

tivation, enabling one to more clearly identify changes in central processing.

489

Peripheral activation in the present study was measured using ABR wave I,

490

which is proportional to the number of intact IHC-AN synapses [Chambers

491

et al., 2016, Möhrle et al., 2016, Sergeyenko et al., 2013]. Comparable wave

492

I amplitudes therefore suggest comparable aggregate numbers of IHC-AN

493

synapses synchronously and transiently activated by the tone ABR stimuli

494

used. Although IHC-AN synapses are not required for some degrees of sound

495

detection and discrimination [Chambers et al., 2016, Wang et al., 1997],

496

their function is correlated with rapid temporal processing [Chambers et al.,

497

2016, Möhrle et al., 2016]. The present study used supra-threshold sound lev-

498

els (40-50 dB SL) that would drive activation of high and low spontaneous

499

rate auditory nerve fibers. It would be helpful in future studies to compare

500

measures closer to threshold (10-20 dB SL) where activation should primar-

501

ily be driven by high spontaneous rate AN fibers. A previous study showed

502

that moderate noise-induced synaptopathy, which may selectively damage

503

low spontaneous rate fibers, could still produce intact tone responses in in-

504

ferior colliculus at low to moderate levels [Hesse et al., 2016] likely to be

505

mediated by high spontaneous rate AN fibers.

507

508

509

SC

M AN U

TE D

EP

Our results showed that compensation of wave I amplitudes between

AC C

506

RI PT

488

young and aged produces enhanced EFR responses (Fig. 5A), implying an enhancement of central gain.

This is consistent with other work in

aging [Sergeyenko et al., 2013, Parthasarathy et al., 2014, Möhrle et al.,

510

2016] and noise exposure or tinnitus [Schaette and McAlpine, 2011, Möhrle

511

et al., 2016, Hesse et al., 2016]. Decline in OHC function as measured by

512

DPOAE will also play a role in auditory declines with aging [Lai and Bartlett, 26

ACCEPTED MANUSCRIPT

2015, Sergeyenko et al., 2013] but does not appear to affect estimates of

514

central gain [Verhulst et al., 2016] since all AN fibers would be affected.

515

Although there are differences between aging and noise exposure, both can

516

produce mixed OHC and IHC-AN damage, and the relative degree of that

517

damage may affect individual changes in ABR and EFR measures [Bharad-

518

waj et al., 2014, Verhulst et al., 2016, Zhong et al., 2014] and auditory nerve

519

measures [Kale and Heinz, 2012]. As shown previously [Parthasarathy et al.,

520

2010] and in Figs. 1 and 3, ABR and EFR measures may be poorly cor-

521

related, implying that they can provide complementary information. An

522

enhancement of onset gain, as measured by comparison of ABR waves I and

523

V, may be different than the enhancement of sustained modulations mea-

524

sured in unit recordings or EFR. This idea is supported by measurements

525

in humans, where onset and envelope components related to perception and

526

DPOAE measurements could be separated [Dhar et al., 2009].

527

5

528

This study revisited the issue of age-related changes in auditory temporal

529

processing by testing different ways of manipulating stimulus intensities to

531

532

SC

M AN U

TE D

EP

Conclusions

AC C

530

RI PT

513

attain comparable peripheral or central neural activation for auditory evoked potential recordings. This study aimed to provide a measurable basis for sound-level comparisons of auditory temporal processing, which can be ap-

533

plied not only to aging studies, but also other studies involving auditory

534

damage, such as noise-induced hearing loss, blast-related acoustic trauma,

535

or diseases affecting hearing [Lew et al., 2007, Seemungal et al., 2015, Al27

ACCEPTED MANUSCRIPT

berti, 1992, Race et al., 2017]. Tone 8 kHz ABR wave I amplitude was used

537

as an indicator for peripheral matching while EFR amplitude to 100 % SAM

538

tone was used for central matching. We observed negligible differences in

539

EFRs between aged and young animals at both equivalent peripheral and

540

central activation for SAM depth processing at the modulation frequencies

541

tested. Higher EFRs in AMF processing were obtained in aged animals for

542

SAM tones with 100 % depth, suggestive of enhanced central gain, but not

543

25 % depth, when compared to the young at matched peripheral activa-

544

tion. Overall, these results demonstrate that compensating for peripheral or

545

central activation can substantially aid in differentiating changes in neural

546

representations of temporally modulated sounds.

547

6

548

This study was supported by a grant from the National Institutes of Health

549

(NIDCD R01DC011580). The authors would like to thank Dr. Aravindak-

550

shan Parthasarathy for his help in generating the auditory neuron filters

551

using modeling, and Nicholas Race for his helpful comments on an initial

552

draft.

554

SC

M AN U

EP

TE D

Acknowledgements

AC C

553

RI PT

536

7

Disclosure Statement

The authors have no conflict of interest to disclose.

28

ACCEPTED MANUSCRIPT

References

556

[Aiken and Picton, 2008] Aiken, S. J. and Picton, T. W. (2008). Envelope

557

and spectral frequency-following responses to vowel sounds. Hearing Re-

558

search, 245(1-2):35–47.

560

[Alberti, 1992] Alberti, P. (1992). Noise induced hearing-loss. British Medi-

SC

559

RI PT

555

cal Journal, 304(6826):522.

[Ananthakrishnan et al., 2016] Ananthakrishnan, S., Krishnan, A., and

562

Bartlett, E. (2016). Human Frequency Following Response: Neural Repre-

563

sentation of Envelope and Temporal Fine Structure in Listeners with Nor-

564

mal Hearing and Sensorineural Hearing Loss. Ear and hearing, 37(2):91–

565

103.

TE D

M AN U

561

[Bharadwaj et al., 2014] Bharadwaj, H. M., Verhulst, S., Shaheen, L., Liber-

567

man, M. C., and Shinn-Cunningham, B. G. (2014). Cochlear neuropathy

568

and the coding of supra-threshold sound. Frontiers in systems neuro-

569

science, 8:1–18.

571

572

573

[Bielefeld et al., 2008] Bielefeld, E. C., Coling, D., Chen, G. D., Li, M.,

AC C

570

EP

566

Tanaka, C., Hu, B. H., and Henderson, D. (2008). Age-related hearing loss in the Fischer 344/NHsd rat substrain. Hearing Research, 241(1-2):26–33.

[Boettcher et al., 2001] Boettcher, F. A., Poth, E. A., Mills, J. H., and

574

Dubno, J. R. (2001). The amplitude-modulation following response in

575

young and aged human subjects. Hearing Research, 153(1-2):32–42.

29

ACCEPTED MANUSCRIPT

[Bramhall et al., 2015] Bramhall, N., Ong, B., Ko, J., and Parker, M. (2015).

577

Speech Perception Ability in Noise is Correlated with Auditory Brainstem

578

Response Wave I Amplitude. Journal of the American Academy of Audi-

579

ology, 26(5):509–17.

RI PT

576

[Buckiova et al., 2007] Buckiova, D., Popelar, J., and Syka, J. (2007). Ag-

581

ing cochleas in the F344 rat: morphological and functional changes. Exp

582

Gerontol, 42(7):629–38.

SC

580

[Burianova et al., 2009] Burianova, J., Ouda, L., Profant, O., and Syka, J.

584

(2009). Age-related changes in GAD levels in the central auditory system

585

of the rat. Experimental gerontology, 44(3):161–9.

M AN U

583

[Caspary et al., 2008] Caspary, D. M., Ling, L., Turner, J. G., and Hughes,

587

L. F. (2008). Inhibitory neurotransmission, plasticity and aging in the

588

mammalian central auditory system. J Exp Biol, 211(Pt 11):1781–91.

TE D

586

[Chambers et al., 2016] Chambers, A. R., Resnik, J., Yuan, Y., Whitton,

590

J. P., Edge, A. S., Liberman, M. C., and Polley, D. B. (2016). Central Gain

591

Restores Auditory Processing following Near-Complete Cochlear Denerva-

592

tion. Neuron, 89(4):867–879.

594

595

AC C

593

EP

589

[Chandrasekaran and Kraus, 2010] Chandrasekaran, B. and Kraus, N. (2010). The scalp-recorded brainstem response to speech: neural origins and plasticity. Psychophysiology, 47(2):236–46.

596

[Chen et al., 2009] Chen, G. D., Li, M., Tanaka, C., Bielefeld, E. C., Hu,

597

B. H., Kermany, M. H., Salvi, R., and Henderson, D. (2009). Aging outer

30

ACCEPTED MANUSCRIPT

598

hair cells (OHCs) in the Fischer 344 rat cochlea: function and morphology.

599

Hearing Research, 248(1-2):39–47. [Chen and Chen, 1991] Chen, T. and Chen, S. (1991). Generator study of

601

brainstem auditory evoked potentials by a radiofrequency lesion method

602

in rats. Experimental brain research, 85(3):537–42.

RI PT

600

[Christiansen et al., 2013] Christiansen, C., MacDonald, E. N., and Dau,

604

T. (2013). Contribution of envelope periodicity to release from speech-

605

on-speech masking. The Journal of the Acoustical Society of America,

606

134(3):2197–204.

M AN U

SC

603

[Clinard et al., 2010] Clinard, C. G., Tremblay, K. L., and Krishnan, A. R.

608

(2010). Aging alters the perception and physiological representation of

609

frequency: Evidence from human frequency-following response recordings.

610

Hearing Research, 264(1-2):48–55.

TE D

607

[Coffey et al., 2017] Coffey, E. B., Musacchia, G., and Zatorre, R. J. (2017).

612

Cortical Correlates of the Auditory Frequency-Following and Onset Re-

613

sponses:

614

37(4):830–838.

616

617

618

EEG and fMRI Evidence.

The Journal of Neuroscience,

AC C

615

EP

611

[Coffey et al., 2016] Coffey, E. B. J., Herholz, S. C., Chepesiuk, A. M. P., Baillet, S., and Zatorre, R. J. (2016). Cortical contributions to the auditory frequency-following response revealed by MEG. Nature Communications, 7:11070.

619

[Cunningham et al., 2001] Cunningham, J., Nicol, T., Zecker, S. G., Brad-

620

low, A., and Kraus, N. (2001). Neurobiologic responses to speech in noise 31

ACCEPTED MANUSCRIPT

621

in children with learning problems: deficits and strategies for improvement.

622

Clin Neurophysiol, 112(5):758–67. [Dhar et al., 2009] Dhar, S., Abel, R., Hornickel, J., Nicol, T., Skoe, E.,

624

Zhao, W., and Kraus, N. (2009). Exploring the relationship between phys-

625

iological measures of cochlear and brainstem function. Clinical Neurophys-

626

iology, 120:959–966.

SC

RI PT

623

[Dolphin and Mountain, 1993] Dolphin, W. F. and Mountain, D. C. (1993).

628

The envelope following response (EFR) in the Mongolian gerbil to sinu-

629

soidally amplitude-modulated signals in the presence of simultaneously

630

gated pure-tones.

631

94(6):3215–30.

M AN U

627

The Journal of the Acoustical Society of America,

[Drullman, 1995] Drullman, R. (1995). Temporal envelope and fine structure

633

cues for speech intelligibility. The Journal of the Acoustical Society of

634

America, 97(1):585–92.

TE D

632

[Dubno, 1984] Dubno, J. R. (1984). Effects of age and mild hearing loss

636

on speech recognition in noise. The Journal of the Acoustical Society of

637

America, 76(1):87–96.

639

640

641

AC C

638

EP

635

[Dubno et al., 2003] Dubno, J. R., Horwitz, A. R., and Ahlstrom, J. B. (2003). Recovery from prior stimulation: Masking of speech by interrupted noise for younger and older adults with normal hearing. The Journal of the Acoustical Society of America, 113(4):2084–94.

642

[Fitzgibbons and Gordon-Salant, 2010] Fitzgibbons, P. J. and Gordon-

643

Salant, S. (2010). Behavioral studies with aging humans: Hearing sen32

ACCEPTED MANUSCRIPT

sitivity and psychoacoustics. In Gordon-Salant, S., Frisina, R. D., Popper,

645

A. N., and Fay, R. R., editors, The Aging Auditory System, volume 34

646

of Springer Handbook of Auditory Research, pages 111–34. Springer New

647

York, New York, NY.

RI PT

644

[Frisina and Frisina, 1997] Frisina, D. R. and Frisina, R. D. (1997). Speech

649

recognition in noise and presbycusis: relations to possible neural mecha-

650

nisms. Hearing Research, 106(1-2):95–104.

SC

648

[Fullgrabe et al., 2015] Fullgrabe, C., Moore, B. C. J., and Stone, M. A.

652

(2015). Age-group differences in speech identification despite matched au-

653

diometrically normal hearing: contributions from auditory temporal pro-

654

cessing and cognition. Frontiers in Aging Neuroscience, 6:1–25.

M AN U

651

[Godfrey et al., 2017] Godfrey, D. A., Chen, K., O’Toole, T. R., and

656

Mustapha, A. I. (2017). Amino acid and acetylcholine chemistry in the

657

central auditory system of young, middle-aged and old rats. Hearing Re-

658

search, 350:173–188.

EP

TE D

655

[Gordonsalant and Fitzgibbons, 1993] Gordonsalant, S. and Fitzgibbons,

660

P. J. (1993). Temporal factors and speech recognition performance in

661

662

663

AC C

659

young and elderly listeners. Journal of Speech and Hearing Research, 36(6):1276–85.

[Grose and Mamo, 2010] Grose, J. H. and Mamo, S. K. (2010). Process-

664

ing of Temporal Fine Structure as a Function of Age. Ear and Hearing,

665

31(6):755–60.

33

ACCEPTED MANUSCRIPT

[Helfer and Vargo, 2009] Helfer, K. S. and Vargo, M. (2009). Speech Recog-

667

nition and Temporal Processing in Middle-Aged Women. Journal of the

668

American Academy of Audiology, 20(4):264–71.

RI PT

666

[Herdman et al., 2002] Herdman, A. T., Lins, O., Van Roon, P., Stapells,

670

D. R., Scherg, M., and Picton, T. W. (2002). Intracerebral sources of

671

human auditory steady-state responses. Brain topography, 15(2):69–86.

672

[Hesse et al., 2016] Hesse, L. L., Bakay, W., Ong, H.-C., Anderson, L.,

673

Ashmore, J., McAlpine, D., Linden, J., and Schaette, R. (2016). Non-

674

Monotonic Relation between Noise Exposure Severity and Neuronal Hy-

675

peractivity in the Auditory Midbrain. Frontiers in Neurology, 7.

M AN U

SC

669

[Jørgensen and Dau, 2011] Jørgensen, S. and Dau, T. (2011). Predicting

677

speech intelligibility based on the signal-to-noise envelope power ratio after

678

modulation-frequency selective processing. The Journal of the Acoustical

679

Society of America, 130(3):1475–87.

TE D

676

[Joris et al., 2004] Joris, P. X., Schreiner, C. E., and Rees, A. (2004). Neural

681

processing of amplitude-modulated sounds. Physiological Reviews, 84:541–

682

77.

684

685

AC C

683

EP

680

[Kale and Heinz, 2012] Kale, S. and Heinz, M. G. (2012). Temporal modulation transfer functions measured from auditory-nerve responses following sensorineural hearing loss. Hearing Research, 286(1-2):64–75.

686

[Kotak and Sanes, 2003] Kotak, V. C. and Sanes, D. H. (2003). Gain adjust-

687

ment of inhibitory synapses in the auditory system. Biological Cybernetics,

688

89(5):363–70. 34

ACCEPTED MANUSCRIPT

[Krause and Braida, 2009] Krause, J. C. and Braida, L. D. (2009). Evalu-

690

ating the role of spectral and envelope characteristics in the intelligibility

691

advantage of clear speech. The Journal of the Acoustical Society of Amer-

692

ica, 125(5):3346–57.

RI PT

689

[Kujawa and Liberman, 2009] Kujawa, S. G. and Liberman, M. C. (2009).

694

Adding insult to injury: cochlear nerve degeneration after "temporary"

695

noise-induced hearing loss. Journal of Neuroscience, 29(45):14077–85.

SC

693

[Kuwada et al., 2002] Kuwada, S., Anderson, J. S., Batra, R., Fitzpatrick,

697

D. C., Teissier, N., and D’Angelo, W. R. (2002). Sources of the scalp-

698

recorded amplitude-modulation following response. Journal of the Amer-

699

ican Academy of Audiology, 13(4):188–204.

M AN U

696

[Lai and Bartlett, 2015] Lai, J. and Bartlett, E. L. (2015). Age-related shifts

701

in distortion product otoacoustic emissions peak-ratios and amplitude

702

modulation spectra. Hearing Research, 327:186–98.

TE D

700

[Lew et al., 2007] Lew, H. L., Jerger, J. F., Guillory, S. B., and Henry, J. A.

704

(2007). Auditory dysfunction in traumatic brain injury. J Rehabil Res

705

Dev, 44(7):921–8.

707

708

709

AC C

706

EP

703

[Lin et al., 2011] Lin, H. W., Furman, A. C., Kujawa, S. G., and Liberman, M. C. (2011). Primary Neural Degeneration in the Guinea Pig Cochlea After Reversible Noise-Induced Threshold Shift. Journal of the Association for Research in Otolaryngology, 12(5):605–16.

710

[Makary et al., 2011] Makary, C. A., Shin, J., Kujawa, S. G., Liberman,

711

M. C., and Merchant, S. N. (2011). Age-related primary cochlear neu35

ACCEPTED MANUSCRIPT

712

ronal degeneration in human temporal bones. Journal of the Association

713

for Research in Otolaryngology, 12(6):711–7. [Mamo et al., 2016] Mamo, S. K., Grose, J. H., and Buss, E. (2016). Speech-

715

evoked ABR: Effects of age and simulated neural temporal jitter. Hearing

716

Research, 333:201–9.

RI PT

714

[May et al., 2006] May, B. J., Kimar, S., and Prosen, C. A. (2006). Auditory

718

filter shapes of CBA/CaJ mice: Behavioral assessments. The Journal of

719

the Acoustical Society of America, 120(1):321–30.

M AN U

SC

717

720

[Miko and Sanes, 2009] Miko, I. J. and Sanes, D. H. (2009). Transient gain

721

adjustment in the inferior colliculus is serotonin- and calcium-dependent.

722

Hearing Research, 251(1):39–50.

[Möhrle et al., 2016] Möhrle, D., Ni, K., Varakina, K., Bing, D., Lee, S. C.,

724

Zimmermann, U., Knipper, M., and Rüttiger, L. (2016). Loss of auditory

725

sensitivity from inner hair cell synaptopathy can be centrally compensated

726

in the young but not old brain. Neurobiology of Aging, 44:173–184.

EP

TE D

723

[Moller, 1977] Moller, A. R. (1977). Frequency selectivity of single auditory-

728

nerve fibers in response to broadband noise stimuli. The Journal of the

729

730

AC C

727

Acoustical Society of America, 62(1):135–42.

[Moore, 2016] Moore, B. C. J. (2016). Effects of Age and Hearing Loss on

731

the Processing of Auditory Temporal Fine Structure. In Advances in ex-

732

perimental medicine and biology, volume 894, pages 1–8.

36

ACCEPTED MANUSCRIPT

[Parthasarathy and Bartlett, 2012] Parthasarathy, A. and Bartlett, E.

734

(2012). Two-channel recording of auditory-evoked potentials to detect age-

735

related deficits in temporal processing. Hearing Research, 289(1-2):52–62.

736

[Parthasarathy and Bartlett, 2011] Parthasarathy, A. and Bartlett, E. L.

737

(2011). Age-related auditory deficits in temporal processing in F-344 rats.

738

Neuroscience, 192:619–30.

SC

RI PT

733

[Parthasarathy et al., 2010] Parthasarathy, A., Cunningham, P. A., and

740

Bartlett, E. L. (2010). Age-related differences in auditory processing as as-

741

sessed by amplitude-modulation following responses in quiet and in noise.

742

Frontiers in Aging Neuroscience, 2:1–10.

M AN U

739

[Parthasarathy et al., 2014] Parthasarathy, A., Datta, J., Torres, J. A., Hop-

744

kins, C., and Bartlett, E. L. (2014). Age-related changes in the relationship

745

between auditory brainstem responses and envelope-following responses.

746

Journal of the Association for Research in Otolaryngology, 15(4):649–61.

TE D

743

[Parthasarathy et al., 2016] Parthasarathy, A., Lai, J., and Bartlett, E. L.

748

(2016). Age-Related Changes in Processing Simultaneous Amplitude Mod-

749

ulated Sounds Assessed Using Envelope Following Responses. Journal of

751

752

753

AC C

750

EP

747

the Association for Research in Otolaryngology, 17(2):119–32.

[Picton et al., 2003] Picton, T. W., John, M. S., Dimitrijevic, A., and Purcell, D. (2003). Human auditory steady-state responses. International journal of audiology, 42(4):177–219.

754

[Purcell et al., 2004] Purcell, D. W., John, S. M., Schneider, B. A., and Pic-

755

ton, T. W. (2004). Human temporal auditory acuity as assessed by enve37

ACCEPTED MANUSCRIPT

756

lope following responses. The Journal of the Acoustical Society of America,

757

116(6):3581–93. [Rabang et al., 2012] Rabang, C. F., Parthasarathy, A., Venkataraman, Y.,

759

Fisher, Z. L., Gardner, S. M., and Bartlett, E. L. (2012). A Computational

760

Model of Inferior Colliculus Responses to Amplitude Modulated Sounds

761

in Young and Aged Rats. Frontiers in Neural Circuits, 6(77):1–25.

SC

RI PT

758

[Race et al., 2017] Race, N., Lai, J., Shi, R., and Bartlett, E. L. (2017).

763

Differences in post-injury auditory system pathophysiology after mild blast

764

and non-blast acute acoustic trauma. Journal of Neurophysiology, page

765

[Eprint].

767

[Rowe, 1981] Rowe, M. J. (1981). The brainstem auditory evoked response in neurological disease: a review. Ear and Hearing, 2(1):41–51.

TE D

766

M AN U

762

[Ruggles et al., 2012] Ruggles, D., Bharadwaj, H., and Shinn-Cunningham,

769

B. G. (2012). Why Middle-Aged Listeners Have Trouble Hearing in Ev-

770

eryday Settings. Current Biology, 22(15):1417–22.

EP

768

[Schaette and McAlpine, 2011] Schaette, R. and McAlpine, D. (2011). Tin-

772

nitus with a normal audiogram: physiological evidence for hidden hearing

773

774

AC C

771

loss and computational model. Journal of Neuroscience, 31(38):13452–7.

[Seemungal et al., 2015] Seemungal, B., Kaski, D., and Lopez-Escamez, J. A.

775

(2015). Early Diagnosis and Management of Acute Vertigo from Vestibular

776

Migraine and Ménière’s Disease. Neurologic Clinics, 33(3):619–28.

38

ACCEPTED MANUSCRIPT

777

[Sergeyenko et al., 2013] Sergeyenko, Y., Lall, K., Liberman, M. C., and Kujawa, S. G. (2013).

Age-related cochlear synaptopathy: an early-

779

onset contributor to auditory functional decline. Journal of Neuroscience,

780

33(34):13686–94.

RI PT

778

[Shannon et al., 1995] Shannon, R. V., Zeng, F. G., Kamath, V., Wygonski,

782

J., and Ekelid, M. (1995). Speech recognition with primarily temporal

783

cues. Science, 270(5234):303–4.

785

[Snell, 1997] Snell, K. B. (1997). Age-related changes in temporal gap detec-

M AN U

784

SC

781

tion. The Journal of the Acoustical Society of America, 101(4):2214–20. [Snell and Frisina, 2000] Snell, K. B. and Frisina, D. R. (2000). Relationships

787

among age-related differences in gap detection and word recognition. The

788

Journal of the Acoustical Society of America, 107(3):1615–26.

TE D

786

[Snell et al., 2002] Snell, K. B., Mapes, F. M., Hickman, E. D., and Frisina,

790

D. R. (2002). Word recognition in competing babble and the effects of

791

age, temporal processing, and absolute sensitivity. The Journal of the

792

Acoustical Society of America, 112(2):720–7.

794

795

796

[Soros et al., 2009] Soros, P., Teismann, I. K., Manemann, E., and Lutken-

AC C

793

EP

789

honer, B. (2009). Auditory temporal processing in healthy aging: a magnetoencephalographic study. BMC Neuroscience, 10(34):1–9.

[Srinivasan and Zahorik, 2014] Srinivasan, N. K. and Zahorik, P. (2014). En-

797

hancement of speech intelligibility in reverberant rooms: Role of amplitude

798

envelope and temporal fine structure. The Journal of the Acoustical Society

799

of America, 135(6):EL239–EL245. 39

ACCEPTED MANUSCRIPT

[Stellmack et al., 2010] Stellmack, M. A., Byrne, A. J., and Viemeister, N. F.

801

(2010). Extracting binaural information from simultaneous targets and

802

distractors: effects of amplitude modulation and asynchronous envelopes.

803

The Journal of the Acoustical Society of America, 128(3):1235–44.

RI PT

800

[Strelcyk and Dau, 2009] Strelcyk, O. and Dau, T. (2009). Relations be-

805

tween frequency selectivity, temporal fine-structure processing, and speech

806

reception in impaired hearing. The Journal of the Acoustical Society of

807

America, 125(5):3328–45.

M AN U

SC

804

[Strouse et al., 1998] Strouse, A., Ashmead, D. H., Ohde, R. N., and

809

Grantham, D. W. (1998). Temporal processing in the aging auditory sys-

810

tem. The Journal of the Acoustical Society of America, 104(4):2385–99.

811

[Verhulst et al., 2016] Verhulst, S., Jagadeesh, A., Mauermann, M., and

812

Ernst, F. (2016). Individual Differences in Auditory Brainstem Response

813

Wave Characteristics: Relations to Different Aspects of Peripheral Hearing

814

Loss. Trends in Hearing, 20(0).

EP

TE D

808

[Viana et al., 2015] Viana, L. M., O’Malley, J. T., Burgess, B. J., Jones,

816

D. D., Oliveira, C. A. C. P., Santos, F., Merchant, S. N., Liberman, L. D.,

817

818

819

AC C

815

and Liberman, M. C. (2015). Cochlear neuropathy in human presbycusis: Confocal analysis of hidden hearing loss in post-mortem tissue. Hearing Research, 327:78–88.

820

[Walton et al., 1998] Walton, J. P., Frisina, R. D., and O’Neill, W. E. (1998).

821

Age-related alteration in processing of temporal sound features in the au-

40

ACCEPTED MANUSCRIPT

822

ditory midbrain of the CBA mouse. The Journal of neuroscience : the

823

official journal of the Society for Neuroscience, 18(7):2764–76. [Walton et al., 2002] Walton, J. P., Simon, H., and Frisina, R. D. (2002).

825

Age-related alterations in the neural coding of envelope periodicities. Jour-

826

nal of neurophysiology, 88(2):565–78.

RI PT

824

[Wang et al., 1997] Wang, J., Powers, N. L., Hofstetter, P., Trautwein, P.,

828

Ding, D., and Salvi, R. (1997). Effects of selective inner hair cell loss on au-

829

ditory nerve fiber threshold, tuning and spontaneous and driven discharge

830

rate. Hearing research, 107(1-2):67–82.

M AN U

SC

827

[Yonan and Sommers, 2000] Yonan, C. A. and Sommers, M. S. (2000). The

832

effects of talker familiarity on spoken word identification in younger and

833

older listeners. Psychology and Aging, 15(1):88–99.

TE D

831

[Zeng et al., 2005] Zeng, F. G., Nie, K., Stickney, G. S., Kong, Y. Y., Vong-

835

phoe, M., Bhargave, A., Wei, C., and Cao, K. (2005). Speech recognition

836

with amplitude and frequency modulations. Proc Natl Acad Sci U S A,

837

102(7):2293–8.

839

840

[Zhong et al., 2014] Zhong, Z., Henry, K. S., and Heinz, M. G. (2014). Sen-

AC C

838

EP

834

sorineural hearing loss amplifies neural coding of envelope information in the central auditory system of chinchillas. Hearing Research, 309:55–62.

41