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Individualized Assays of Temporal Coding in the Ascending Human Auditory System
Neural phase-locking to temporal fluctuations is a fundamental and unique mechanism by which acoustic information is encoded by the auditory system. The perceptual role of this metabolically expensive mechanism, the neural phase-locking to temporal fine structure (TFS) in particular, is debated. Alt...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925652/ https://www.ncbi.nlm.nih.gov/pubmed/35193890 http://dx.doi.org/10.1523/ENEURO.0378-21.2022 |
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author | Borjigin, Agudemu Hustedt-Mai, Alexandra R. Bharadwaj, Hari M. |
author_facet | Borjigin, Agudemu Hustedt-Mai, Alexandra R. Bharadwaj, Hari M. |
author_sort | Borjigin, Agudemu |
collection | PubMed |
description | Neural phase-locking to temporal fluctuations is a fundamental and unique mechanism by which acoustic information is encoded by the auditory system. The perceptual role of this metabolically expensive mechanism, the neural phase-locking to temporal fine structure (TFS) in particular, is debated. Although hypothesized, it is unclear whether auditory perceptual deficits in certain clinical populations are attributable to deficits in TFS coding. Efforts to uncover the role of TFS have been impeded by the fact that there are no established assays for quantifying the fidelity of TFS coding at the individual level. While many candidates have been proposed, for an assay to be useful, it should not only intrinsically depend on TFS coding, but should also have the property that individual differences in the assay reflect TFS coding per se over and beyond other sources of variance. Here, we evaluate a range of behavioral and electroencephalogram (EEG)-based measures as candidate individualized measures of TFS sensitivity. Our comparisons of behavioral and EEG-based metrics suggest that extraneous variables dominate both behavioral scores and EEG amplitude metrics, rendering them ineffective. After adjusting behavioral scores using lapse rates, and extracting latency or percent-growth metrics from EEG, interaural timing sensitivity measures exhibit robust behavior-EEG correlations. Together with the fact that unambiguous theoretical links can be made relating binaural measures and phase-locking to TFS, our results suggest that these “adjusted” binaural assays may be well suited for quantifying individual TFS processing. |
format | Online Article Text |
id | pubmed-8925652 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-89256522022-03-17 Individualized Assays of Temporal Coding in the Ascending Human Auditory System Borjigin, Agudemu Hustedt-Mai, Alexandra R. Bharadwaj, Hari M. eNeuro Research Article: New Research Neural phase-locking to temporal fluctuations is a fundamental and unique mechanism by which acoustic information is encoded by the auditory system. The perceptual role of this metabolically expensive mechanism, the neural phase-locking to temporal fine structure (TFS) in particular, is debated. Although hypothesized, it is unclear whether auditory perceptual deficits in certain clinical populations are attributable to deficits in TFS coding. Efforts to uncover the role of TFS have been impeded by the fact that there are no established assays for quantifying the fidelity of TFS coding at the individual level. While many candidates have been proposed, for an assay to be useful, it should not only intrinsically depend on TFS coding, but should also have the property that individual differences in the assay reflect TFS coding per se over and beyond other sources of variance. Here, we evaluate a range of behavioral and electroencephalogram (EEG)-based measures as candidate individualized measures of TFS sensitivity. Our comparisons of behavioral and EEG-based metrics suggest that extraneous variables dominate both behavioral scores and EEG amplitude metrics, rendering them ineffective. After adjusting behavioral scores using lapse rates, and extracting latency or percent-growth metrics from EEG, interaural timing sensitivity measures exhibit robust behavior-EEG correlations. Together with the fact that unambiguous theoretical links can be made relating binaural measures and phase-locking to TFS, our results suggest that these “adjusted” binaural assays may be well suited for quantifying individual TFS processing. Society for Neuroscience 2022-03-11 /pmc/articles/PMC8925652/ /pubmed/35193890 http://dx.doi.org/10.1523/ENEURO.0378-21.2022 Text en Copyright © 2022 Borjigin et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Article: New Research Borjigin, Agudemu Hustedt-Mai, Alexandra R. Bharadwaj, Hari M. Individualized Assays of Temporal Coding in the Ascending Human Auditory System |
title | Individualized Assays of Temporal Coding in the Ascending Human Auditory System |
title_full | Individualized Assays of Temporal Coding in the Ascending Human Auditory System |
title_fullStr | Individualized Assays of Temporal Coding in the Ascending Human Auditory System |
title_full_unstemmed | Individualized Assays of Temporal Coding in the Ascending Human Auditory System |
title_short | Individualized Assays of Temporal Coding in the Ascending Human Auditory System |
title_sort | individualized assays of temporal coding in the ascending human auditory system |
topic | Research Article: New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8925652/ https://www.ncbi.nlm.nih.gov/pubmed/35193890 http://dx.doi.org/10.1523/ENEURO.0378-21.2022 |
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