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Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations
Brain oscillations reflect changes in electrical potentials summated across neuronal populations. Low- and high-frequency rhythms have different modulation patterns. Slower rhythms are spatially broad, while faster rhythms are more local. From this observation, we hypothesized that low- and high-fre...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923146/ https://www.ncbi.nlm.nih.gov/pubmed/27445767 http://dx.doi.org/10.3389/fnhum.2016.00330 |
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author | Hawasli, Ammar H. Kim, DoHyun Ledbetter, Noah M. Dahiya, Sonika Barbour, Dennis L. Leuthardt, Eric C. |
author_facet | Hawasli, Ammar H. Kim, DoHyun Ledbetter, Noah M. Dahiya, Sonika Barbour, Dennis L. Leuthardt, Eric C. |
author_sort | Hawasli, Ammar H. |
collection | PubMed |
description | Brain oscillations reflect changes in electrical potentials summated across neuronal populations. Low- and high-frequency rhythms have different modulation patterns. Slower rhythms are spatially broad, while faster rhythms are more local. From this observation, we hypothesized that low- and high-frequency oscillations reflect white- and gray-matter communications, respectively, and synchronization between low-frequency phase with high-frequency amplitude represents a mechanism enabling distributed brain-networks to coordinate local processing. Testing this common understanding, we selectively disrupted white or gray matter connections to human cortex while recording surface field potentials. Counter to our original hypotheses, we found that cortex consists of independent oscillatory-units (IOUs) that maintain their own complex endogenous rhythm structure. IOUs are differentially modulated by white and gray matter connections. White-matter connections maintain topographical anatomic heterogeneity (i.e., separable processing in cortical space) and gray-matter connections segregate cortical synchronization patterns (i.e., separable temporal processing through phase-power coupling). Modulation of distinct oscillatory modules enables the functional diversity necessary for complex processing in the human brain. |
format | Online Article Text |
id | pubmed-4923146 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-49231462016-07-21 Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations Hawasli, Ammar H. Kim, DoHyun Ledbetter, Noah M. Dahiya, Sonika Barbour, Dennis L. Leuthardt, Eric C. Front Hum Neurosci Neuroscience Brain oscillations reflect changes in electrical potentials summated across neuronal populations. Low- and high-frequency rhythms have different modulation patterns. Slower rhythms are spatially broad, while faster rhythms are more local. From this observation, we hypothesized that low- and high-frequency oscillations reflect white- and gray-matter communications, respectively, and synchronization between low-frequency phase with high-frequency amplitude represents a mechanism enabling distributed brain-networks to coordinate local processing. Testing this common understanding, we selectively disrupted white or gray matter connections to human cortex while recording surface field potentials. Counter to our original hypotheses, we found that cortex consists of independent oscillatory-units (IOUs) that maintain their own complex endogenous rhythm structure. IOUs are differentially modulated by white and gray matter connections. White-matter connections maintain topographical anatomic heterogeneity (i.e., separable processing in cortical space) and gray-matter connections segregate cortical synchronization patterns (i.e., separable temporal processing through phase-power coupling). Modulation of distinct oscillatory modules enables the functional diversity necessary for complex processing in the human brain. Frontiers Media S.A. 2016-06-28 /pmc/articles/PMC4923146/ /pubmed/27445767 http://dx.doi.org/10.3389/fnhum.2016.00330 Text en Copyright © 2016 Hawasli, Kim, Ledbetter, Dahiya, Barbour and Leuthardt. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Hawasli, Ammar H. Kim, DoHyun Ledbetter, Noah M. Dahiya, Sonika Barbour, Dennis L. Leuthardt, Eric C. Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations |
title | Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations |
title_full | Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations |
title_fullStr | Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations |
title_full_unstemmed | Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations |
title_short | Influence of White and Gray Matter Connections on Endogenous Human Cortical Oscillations |
title_sort | influence of white and gray matter connections on endogenous human cortical oscillations |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4923146/ https://www.ncbi.nlm.nih.gov/pubmed/27445767 http://dx.doi.org/10.3389/fnhum.2016.00330 |
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