Tracking cortical entrainment in neural activity: auditory processes in human temporal cortex
A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We...
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| Published in | Frontiers in computational neuroscience Vol. 9; p. 5 |
|---|---|
| Main Authors | , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Switzerland
Frontiers Research Foundation
10.02.2015
Frontiers Media S.A |
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| Online Access | Get full text |
| ISSN | 1662-5188 1662-5188 |
| DOI | 10.3389/fncom.2015.00005 |
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| Abstract | A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We used two such models (loudness-sones and loudness-phons), varying in their psychophysiological realism, to predict the instantaneous loudness contours produced by 480 isolated words. These two sets of 480 contours were used to search for electrophysiological evidence of loudness processing in whole-brain recordings of electro- and magneto-encephalographic (EMEG) activity, recorded while subjects listened to the words. The technique identified a bilateral sequence of loudness processes, predicted by the more realistic loudness-sones model, that begin in auditory cortex at ~80 ms and subsequently reappear, tracking progressively down the superior temporal sulcus (STS) at lags from 230 to 330 ms. The technique was then extended to search for regions sensitive to the fundamental frequency (F0) of the voiced parts of the speech. It identified a bilateral F0 process in auditory cortex at a lag of ~90 ms, which was not followed by activity in STS. The results suggest that loudness information is being used to guide the analysis of the speech stream as it proceeds beyond auditory cortex down STS toward the temporal pole. |
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| AbstractList | A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We used two such models (loudness-sones and loudness-phons), varying in their psychophysiological realism, to predict the instantaneous loudness contours produced by 480 isolated words. These two sets of 480 contours were used to search for electrophysiological evidence of loudness processing in whole-brain recordings of electro- and magneto-encephalographic (EMEG) activity, recorded while subjects listened to the words. The technique identified a bilateral sequence of loudness processes, predicted by the more realistic loudness-sones model, that begin in auditory cortex at ~80 ms and subsequently reappear, tracking progressively down the superior temporal sulcus (STS) at lags from 230 to 330 ms. The technique was then extended to search for regions sensitive to the fundamental frequency (F0) of the voiced parts of the speech. It identified a bilateral F0 process in auditory cortex at a lag of ~90 ms, which was not followed by activity in STS. The results suggest that loudness information is being used to guide the analysis of the speech stream as it proceeds beyond auditory cortex down STS toward the temporal pole. A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We used two such models (loudness-sones and loudness-phons), varying in their psychophysiological realism, to predict the instantaneous loudness contours produced by 480 isolated words. These two sets of 480 contours were used to search for electrophysiological evidence of loudness processing in whole-brain recordings of electro- and magneto-encephalographic (EMEG) activity, recorded while subjects listened to the words. The technique identified a bilateral sequence of loudness processes, predicted by the more realistic loudness-sones model, that begin in auditory cortex at ~80 ms and subsequently reappear, tracking progressively down the superior temporal sulcus (STS) at lags from 230 to 330 ms. The technique was then extended to search for regions sensitive to the fundamental frequency (F0) of the voiced parts of the speech. It identified a bilateral F0 process in auditory cortex at a lag of ~90 ms, which was not followed by activity in STS. The results suggest that loudness information is being used to guide the analysis of the speech stream as it proceeds beyond auditory cortex down STS toward the temporal pole.A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We used two such models (loudness-sones and loudness-phons), varying in their psychophysiological realism, to predict the instantaneous loudness contours produced by 480 isolated words. These two sets of 480 contours were used to search for electrophysiological evidence of loudness processing in whole-brain recordings of electro- and magneto-encephalographic (EMEG) activity, recorded while subjects listened to the words. The technique identified a bilateral sequence of loudness processes, predicted by the more realistic loudness-sones model, that begin in auditory cortex at ~80 ms and subsequently reappear, tracking progressively down the superior temporal sulcus (STS) at lags from 230 to 330 ms. The technique was then extended to search for regions sensitive to the fundamental frequency (F0) of the voiced parts of the speech. It identified a bilateral F0 process in auditory cortex at a lag of ~90 ms, which was not followed by activity in STS. The results suggest that loudness information is being used to guide the analysis of the speech stream as it proceeds beyond auditory cortex down STS toward the temporal pole. A primary objective for cognitive neuroscience is to identify how features of the sensory environment are encoded in neural activity. Current auditory models of loudness perception can be used to make detailed predictions about the neural activity of the cortex as an individual listens to speech. We used two such models (loudness-sones and loudness-phons), varying in their psychophysiological realism, to predict the instantaneous loudness contours produced by 480 isolated words. These two sets of 480 contours were used to search for electrophysiological evidence of loudness processing in whole-brain recordings of electro- and magneto-encephalographic (EMEG) activity, recorded while subjects listened to the words. The technique identified a bilateral sequence of loudness processes, predicted by the more realistic loudness-sones model, that begin in auditory cortex at ~80 ms and subsequently reappear, tracking progressively down the superior temporal sulcus (STS) at lags from 230 to 330 ms. The technique was then extended to search for regions sensitive to the fundamental frequency (F0) of the voiced parts of the speech. It identified a bilateral F0 process in auditory cortex at a lag of ~90 ms, which was not followed by activity in STS. The results suggest that loudness information is being used to guide the analysis of the speech stream as it proceeds beyond auditory cortex down STS towards the temporal pole. |
| Author | Marslen-Wilson, William D. Fonteneau, Elisabeth Patterson, Roy D. Thwaites, Andrew Nimmo-Smith, Ian Buttery, Paula |
| AuthorAffiliation | 4 Department of Theoretical and Applied Linguistics, University of Cambridge Cambridge, UK 2 MRC Cognition and Brain Sciences Unit Cambridge, UK 3 Department of Physiology, Development and Neuroscience, Centre for the Neural Basis of Hearing, University of Cambridge Cambridge, UK 1 Neurolex Group, Department of Psychology, University of Cambridge Cambridge, UK |
| AuthorAffiliation_xml | – name: 2 MRC Cognition and Brain Sciences Unit Cambridge, UK – name: 4 Department of Theoretical and Applied Linguistics, University of Cambridge Cambridge, UK – name: 3 Department of Physiology, Development and Neuroscience, Centre for the Neural Basis of Hearing, University of Cambridge Cambridge, UK – name: 1 Neurolex Group, Department of Psychology, University of Cambridge Cambridge, UK |
| Author_xml | – sequence: 1 givenname: Andrew surname: Thwaites fullname: Thwaites, Andrew – sequence: 2 givenname: Ian surname: Nimmo-Smith fullname: Nimmo-Smith, Ian – sequence: 3 givenname: Elisabeth surname: Fonteneau fullname: Fonteneau, Elisabeth – sequence: 4 givenname: Roy D. surname: Patterson fullname: Patterson, Roy D. – sequence: 5 givenname: Paula surname: Buttery fullname: Buttery, Paula – sequence: 6 givenname: William D. surname: Marslen-Wilson fullname: Marslen-Wilson, William D. |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/25713530$$D View this record in MEDLINE/PubMed |
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| Keywords | fundamental frequency contour neural computation model expression speech envelope MNE source space magnetoencephalography information encoding |
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| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 content type line 23 Reviewed by: Jonathan Z. Simon, University of Maryland, USA; Elana Zion Golumbic, Bar Ilan University, Israel This article was submitted to the journal Frontiers in Computational Neuroscience. Edited by: Israel Nelken, Hebrew University, Israel |
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| SubjectTerms | Acoustics Cognitive ability Cortex (auditory) Cortex (somatosensory) Cortex (temporal) Entrainment Fundamental frequency contour Hypotheses information encoding Localization Magnetoencephalography MNE source space Nervous system neural computation Neuroscience NMR Nuclear magnetic resonance Speech Speech envelope Speech perception Spread spectrum Superior temporal sulcus |
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| Title | Tracking cortical entrainment in neural activity: auditory processes in human temporal cortex |
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