Investigating the effect of cochlear synaptopathy on envelope following responses using a model of the auditory nerve
Authors/Creators
- 1. Technical
- 2. Interacoustics Research Unit
- 3. Tech
- 4. Boston University
Description
Dataset containing the recorded and simulated data reported in the manuscript "Investigating the effect of cochlear synaptopathy on envelope following responses using a model of the auditory nerve" published in the Journal of the Association for Research in Otolaryngology, JARO (https://doi.org/10.1007/s10162-019-00721-7):
- RECORDED Envelope Following Responses (EFR) in normal-hearing (NH) threshold and hearing-impaired (HI) human listeners using deeply (m = 85%) and shallowly (m = 25%) modulated sinusoidally amplitude modulated (SAM) tones.
- SIMULATED EFRs using the auditory nerve (AN) model by Zilany et al. (2009, 2014).
Files content and structure:
Recorded EFRs
Fig. 2:
- fig2__recorded_efr.csv:
EFR recordings as a function of stimulus level (EFR magnitude-level functions) for the NH and HI listeners using two modulation depths.
The file containing the recorded EFR data have the following columns:
- lvl: Stimulation level
- m85_ok: EFR magnitude (dB re to 1 µV) using m = 85%. Significant responses (F-test = 1)
- m85_ko: EFR magnitude (dB re to 1 µV) using m = 85%. Non-significant responses (F-test = 0)
- m85_bkg: Estimated background noise magnitude (dB re to 1 µV) for the recordings when m = 85%
- m25_ok: EFR magnitude (dB re to 1 µV) using m = 25%. Significant responses (F-test = 1)
- m25_ko: EFR magnitude (dB re to 1 µV) using m = 25%. Non-significant responses (F-test = 0)
- m25_bkg: Estimated background noise magnitude (dB re to 1 µV) for the recordings when m = 25%
- subj: Listener id
- hearing: Hearing group (nh | hi) of the listener
Simulated EFRs:
Files with the simulation results summing across frequency and SR fiber type
Fig. 4:
- fig4a__simul_efr__nh_23ohc_13ihc__no_cs.csv:
Simulated EFR magnitude-level function for the NH threshold listeners (average) assuming 2/3 of OHC loss and 1/3 of IHC loss (Fig. 4a). - fig4b__simul_efr__nh_slp_thres_all_ohc__no_cs.csv:
Simulated EFR magnitude-level function for the NH threshold listeners (average) assuming sloping threshold at extended high frequencies (EHF) and all of OHC loss (Fig. 4b). - fig4c__simul_efr__nh_slp_thres_all_ihc__no_cs.csv:
Simulated EFR magnitude-level function for the NH threshold listeners (average) assuming sloping threshold at extended high frequencies (EHF) and all of IHC loss (Fig. 4c). - fig4d__simul_efr__hi_23ohc_13ihc__no_cs.csv:
Simulated EFR magnitude-level function for the HI listeners (average) assuming 2/3 of OHC loss and 1/3 of IHC loss (Fig. 4d). - fig4e__simul_efr__hi_all_ohc__no_cs.csv:
Simulated EFR magnitude-level function for the HI threshold listeners (average) assuming all of OHC loss (Fig. 4e). - fig4f__simul_efr__hi_all_ihc__no_cs.csv:
Simulated EFR magnitude-level function for the HI threshold listeners (average) assuming all of IHC loss (Fig. 4f). - fig4g__simul_efr__hi_slp_thres_23ohc_13ihc__no_cs.csv:
Simulated EFR magnitude-level function for the HI listeners (average) assuming sloping threshold at EHF and 2/3 of OHC loss and 1/3 of IHC loss (Fig. 4d). - fig4h__simul_efr__hi_slp_thres_all_ohc__no_cs.csv:
Simulated EFR magnitude-level function for the HI threshold listeners (average) assuming sloping threshold at EHF and all of OHC loss (Fig. 4e). - fig4i__simul_efr__hi_slp_thres_all_ihc__no_cs.csv:
Simulated EFR magnitude-level function for the HI threshold listeners (average) assuming sloping threshold at EHF and and all of IHC loss (Fig. 4f).
Fig. 5:
- fig5a__simul_efr__nh__cs_ms_ls_100p.csv:
Simulated EFR magnitude-level function for the NH threshold listeners (average) assuming cochlear synaptopathy (CS) of a 100% of loss of only medium- and low-spontaneous rate (SR) AN fibers (Fig. 5a). - fig5b__simul_efr__nh09_cs__approx.csv:
Simulated EFR magnitude-level function to approximate the data for the NH threshold listener NH09 including CS (Fig. 5b). - fig5c__simul_efr__hi04_cs__approx.csv:
Simulated EFR magnitude-level function to approximate the data for the HI listener HI04 including CS (Fig. 5c).
Fig. 6:
Files with the simulation results for the NH threshold listener in different characteristic frequency (CF) bands and SR fiber types
- fig6__simul_efr__nh_cf_band_analys__no_cs__m12.mat:
Simulated EFR magnitude-level function for the NH using a SAM tone with m = 12%. - fig6__simul_efr__nh_cf_band_analys__no_cs__m25.mat:
Simulated EFR magnitude-level function for the NH using a SAM tone with m = 25%. - fig6__simul_efr__nh_cf_band_analys__no_cs__m50.mat:
Simulated EFR magnitude-level function for the NH using a SAM tone with m = 50%. - fig6__simul_efr__nh_cf_band_analys__no_cs__m85.mat:
Simulated EFR magnitude-level function for the NH using a SAM tone with m = 85%. - fig6__simul_efr__nh_cf_band_analys__no_cs__m100.mat:
Simulated EFR magnitude-level function for the NH using a SAM tone with m = 100%.
Fig. 7:
- fig7a__simul_efr__bw_analys__32oct_[20, 40, 60, 80, 100]p.csv:
Simulated EFR magnitude-level function for the NH threshold listeners assuming CS of a bandwidth (BW) of 3/2-octave for a loss of AN fibers ranging from 20% to 100% (Fig. 7a). - fig7b__simul_efr__bw_analys__1oct_[20, 40, 60, 80, 100]p.csv:
Simulated EFR magnitude-level function for the NH threshold listeners assuming CS of a bandwidth (BW) of 1-octave for a loss of AN fibers ranging from 20% to 100% (Fig. 7b). - fig7c__simul_efr__bw_analys__13oct_[20, 40, 60, 80, 100]p.csv:
Simulated EFR magnitude-level function for the NH threshold listeners assuming CS of a bandwidth (BW) of 1/3-octave for a loss of AN fibers ranging from 20% to 100% (Fig. 7c).
-----------------------------------------------------------------------------------------------------------------------------------------------------------------
The structure of the .csv files that contain the EFR simulations is:
- lvl: Stimulation level
- mgn_mxxx: Simulated EFR magnitude (a.u. in dB) for each modulation depth (100%, 85%, 50%, 25% and 12%)
- bkg_mxxx: Estimate of the background noise floor (a.u. in dB) for each modulation depth.
- ftest_mxxx: Result of the F-test statistical test (0 or 1) for each modulation depth.
The structure of the .mat files that contain the EFR simulations is:
- exper_type: Name of the simulated experiment
- species: Species used in the AN model (in this study is always 2: human)
- species_age: (Not used in this work). Age of the animal when species is 4: mouse
- modulation: Modulation depth of the SAM tone used in the simulation (100%, 85%, 50%, 25% or 12%)
- f_on: Center frequency of the on-frequency band (2000 Hz)
- f_off_hf: Center frequency of the first off-frequency band (3000 Hz)
- f_off_vhf: Center frequency of the second off-frequency band (7000 Hz)
- f_off_uvhf: Center frequency of the third off-frequency band (12000 Hz)
- lvl_vect: Stimulus level vector (from 5 to 100 dB SPL, in steps of 5 dB)
- simul_efr Structure with the simulated data
- The data structure contains many fields which are matricies of size 3x20. The columns are the 20 stimulus levels defined in lvl_vect, and the first row is the simulated EFR, the second row is the estimates background noise floor in the simulation, and the third row is the output of the F-test statistics.
- The structure fields can be divided in 4 groups:
- ihc_ Responses from the IHC (not shown in the paper)
- an_hs_ Responses from the High-SR fibers in the AN
- an_ms_ Responses from the Medium-SR fibers in the AN
- an_ls_ Responses from the Low-SR fibers in the AN
- Each group has 5 responses corresponding to the on-frequency band (_on) and the three off-frequency bands (_off_hf, _off_vhf, _off_uvhf); and the sum across frequencies (_across_f)
Notes
Files
07_simul__efr_hi_synap_hs_ms_ls__approx_hi04.csv
Files
(439.5 kB)
| Name | Size | Download all |
|---|---|---|
|
md5:bfd154b9898ccefd0d60d6452fb3e9f1
|
4.0 kB | Preview Download |
|
md5:80fb5c3bdd69c6c561c83613a724333b
|
30.2 kB | Download |
|
md5:db79d3d41925d81e4f17911b9d92bc9b
|
30.2 kB | Download |
|
md5:fbb43d9786dac1fa1ab6bdc31078148a
|
30.2 kB | Download |
|
md5:c22bc37b251a378bce6ebe0c4bbced31
|
30.2 kB | Download |
|
md5:7e7fe6c8af2749cda4f405f2f9ec1ce2
|
30.2 kB | Download |
|
md5:7bdbe0957cd0e16ad8cca53f348ba06e
|
13.1 kB | Preview Download |
|
md5:98784fe7cd1c86212162cd687f6ad191
|
4.0 kB | Preview Download |
|
md5:abca116793cab96c0b937db63f98986a
|
4.0 kB | Preview Download |
|
md5:6378a32e25819c51238f37d38874b944
|
4.0 kB | Preview Download |
|
md5:f5eadbd7e6f2b69c67ff0e6b1fe547b4
|
4.0 kB | Preview Download |
|
md5:f3042e9f2f6b35e6a5094de824eda0df
|
4.0 kB | Preview Download |
|
md5:3489e10b2ac6f7bf147d07b73d6bbfff
|
4.0 kB | Preview Download |
|
md5:01f5006774943f713f4fc683c3df49eb
|
4.0 kB | Preview Download |
|
md5:3541c8badc7eea087fd13f2059a2a054
|
4.0 kB | Preview Download |
|
md5:df6d9fe74dbd0c51679b5097cc6a6d45
|
4.0 kB | Preview Download |
|
md5:a8badef67217cd2ebc245be99906b99b
|
4.0 kB | Preview Download |
|
md5:a74dc6c2d7fd8ceb732c74994953b3a0
|
4.0 kB | Preview Download |
|
md5:c2b27d9f40e7c18fd4fdada8f31791b5
|
4.0 kB | Preview Download |
|
md5:e8f592fa1467aebfb9730bc29e8194bd
|
32.8 kB | Download |
|
md5:17a3f03df4b38c6021bcd75b0cecfadc
|
32.8 kB | Download |
|
md5:bd3b6715e6aab8fa6accb85489411a1d
|
32.8 kB | Download |
|
md5:aa3f03baabf21d4b0ca40b9aeee9267c
|
32.8 kB | Download |
|
md5:ff95a4d264e26f832e697e9481aa04c9
|
32.8 kB | Download |
|
md5:9231be9dcc8518d7bc36b22887bc2f93
|
4.0 kB | Preview Download |
|
md5:b2ed38c847c1fd6a10503b9ca5855a62
|
4.0 kB | Preview Download |
|
md5:ee871df8bc4e6d8199fc0f7f9a392fb4
|
4.0 kB | Preview Download |
|
md5:f2d9fd93d0ad17eae4f318569aaf32ce
|
4.0 kB | Preview Download |
|
md5:3e46dc6bab47a9e437df458425d16ff5
|
4.0 kB | Preview Download |
|
md5:9a7ec29302ded59ad34d6ae3fd61c41e
|
4.0 kB | Preview Download |
|
md5:ffc8e8b5e0cff3c1a4aa7b7d3ebbe848
|
4.0 kB | Preview Download |
|
md5:278b718283f317ce57066831894946e8
|
4.0 kB | Preview Download |
|
md5:db88d80f7c2d805dab4f8b95f4dd38f1
|
4.0 kB | Preview Download |
|
md5:bfd25f926dd80148c66f57de1c99ac30
|
4.0 kB | Preview Download |
|
md5:4de5fecee1c9260141723ddf5a0a2f0d
|
4.0 kB | Preview Download |
|
md5:f998524820e8eed0f322196fed9d6c9c
|
4.0 kB | Preview Download |
|
md5:7ae0fbb639d5fdcbad663add5529f5c0
|
4.0 kB | Preview Download |
|
md5:f7c7627a6a6e24f650afa64b95d868cf
|
4.0 kB | Preview Download |
|
md5:0d8ed6640ae55f16d97b041c47459baf
|
4.0 kB | Preview Download |
Additional details
Related works
- Is supplement to
- 10.1007/s10162-019-00721-7 (DOI)