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