Neuronal phase consistency tracks dynamic changes in acoustic spectral regularity.
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| Title: | Neuronal phase consistency tracks dynamic changes in acoustic spectral regularity. |
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| Authors: | Gifford, Adam M. (AUTHOR), Sperling, Michael R. (AUTHOR), Sharan, Ashwini (AUTHOR), Gorniak, Richard J. (AUTHOR), Williams, Ryan B. (AUTHOR), Davis, Kathryn (AUTHOR), Kahana, Michael J. (AUTHOR), Cohen, Yale E. (AUTHOR) |
| Source: | European Journal of Neuroscience. May2019, Vol. 49 Issue 10, p1268-1287. 20p. 1 Diagram, 4 Charts, 4 Graphs. |
| Subjects: | Auditory pathways, Auditory cortex, Auditory perception, Sense organs |
| Abstract: | The brain parses the auditory environment into distinct sounds by identifying those acoustic features in the environment that have common relationships (e.g., spectral regularities) with one another and then grouping together the neuronal representations of these features. Although there is a large literature that tests how the brain tracks spectral regularities that are predictable, it is not known how the auditory system tracks spectral regularities that are not predictable and that change dynamically over time. Furthermore, the contribution of brain regions downstream of the auditory cortex to the coding of spectral regularity is unknown. Here, we addressed these two issues by recording electrocorticographic activity, while human patients listened to tone‐burst sequences with dynamically varying spectral regularities, and identified potential neuronal mechanisms of the analysis of spectral regularities throughout the brain. We found that the degree of oscillatory stimulus phase consistency (PC) in multiple neuronal‐frequency bands tracked spectral regularity. In particular, PC in the delta‐frequency band seemed to be the best indicator of spectral regularity. We also found that these regularity representations existed in multiple regions throughout cortex. This widespread reliable modulation in PC – both in neuronal‐frequency space and in cortical space – suggests that phase‐based modulations may be a general mechanism for tracking regularity in the auditory system specifically and other sensory systems more generally. Our findings also support a general role for the delta‐frequency band in processing the regularity of auditory stimuli. [ABSTRACT FROM AUTHOR] |
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| Database: | Psychology and Behavioral Sciences Collection |
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| Abstract: | The brain parses the auditory environment into distinct sounds by identifying those acoustic features in the environment that have common relationships (e.g., spectral regularities) with one another and then grouping together the neuronal representations of these features. Although there is a large literature that tests how the brain tracks spectral regularities that are predictable, it is not known how the auditory system tracks spectral regularities that are not predictable and that change dynamically over time. Furthermore, the contribution of brain regions downstream of the auditory cortex to the coding of spectral regularity is unknown. Here, we addressed these two issues by recording electrocorticographic activity, while human patients listened to tone‐burst sequences with dynamically varying spectral regularities, and identified potential neuronal mechanisms of the analysis of spectral regularities throughout the brain. We found that the degree of oscillatory stimulus phase consistency (PC) in multiple neuronal‐frequency bands tracked spectral regularity. In particular, PC in the delta‐frequency band seemed to be the best indicator of spectral regularity. We also found that these regularity representations existed in multiple regions throughout cortex. This widespread reliable modulation in PC – both in neuronal‐frequency space and in cortical space – suggests that phase‐based modulations may be a general mechanism for tracking regularity in the auditory system specifically and other sensory systems more generally. Our findings also support a general role for the delta‐frequency band in processing the regularity of auditory stimuli. [ABSTRACT FROM AUTHOR] |
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| ISSN: | 0953816X |
| DOI: | 10.1111/ejn.14263 |
