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Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks
In the absence of sensory stimulation or motor output, the brain exhibits complex spatiotemporal patterns of intrinsically generated neural activity. Analysis of ongoing brain dynamics has identified the prevailing modes of cortico-cortical interaction; however, little is known about how such patter...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for the Advancement of Science
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643805/ https://www.ncbi.nlm.nih.gov/pubmed/26601226 http://dx.doi.org/10.1126/sciadv.1500229 |
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author | Stitt, Iain Galindo-Leon, Edgar Pieper, Florian Engler, Gerhard Fiedler, Eva Stieglitz, Thomas Engel, Andreas K. |
author_facet | Stitt, Iain Galindo-Leon, Edgar Pieper, Florian Engler, Gerhard Fiedler, Eva Stieglitz, Thomas Engel, Andreas K. |
author_sort | Stitt, Iain |
collection | PubMed |
description | In the absence of sensory stimulation or motor output, the brain exhibits complex spatiotemporal patterns of intrinsically generated neural activity. Analysis of ongoing brain dynamics has identified the prevailing modes of cortico-cortical interaction; however, little is known about how such patterns of intrinsically generated activity are correlated between cortical and subcortical brain areas. We investigate the correlation structure of ongoing cortical and superior colliculus (SC) activity across multiple spatial and temporal scales. Ongoing cortico-tectal interaction was characterized by correlated fluctuations in the amplitude of delta, spindle, low gamma, and high-frequency oscillations (>100 Hz). Of these identified coupling modes, topographical patterns of high-frequency coupling were the most consistent with patterns of anatomical connectivity, reflecting synchronized spiking within cortico-tectal networks. Cortico-tectal coupling at high frequencies was temporally parcellated by the phase of slow cortical oscillations and was strongest for SC-cortex channel pairs that displayed overlapping visual spatial receptive fields. Despite displaying a high degree of spatial specificity, cortico-tectal coupling in lower-frequency bands did not match patterns of cortex-to-SC anatomical connectivity. Collectively, our findings demonstrate that neural activity is spontaneously coupled between cortex and SC, with high- and low-frequency modes of coupling reflecting direct and indirect cortico-tectal interactions, respectively. |
format | Online Article Text |
id | pubmed-4643805 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | American Association for the Advancement of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-46438052015-11-23 Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks Stitt, Iain Galindo-Leon, Edgar Pieper, Florian Engler, Gerhard Fiedler, Eva Stieglitz, Thomas Engel, Andreas K. Sci Adv Research Articles In the absence of sensory stimulation or motor output, the brain exhibits complex spatiotemporal patterns of intrinsically generated neural activity. Analysis of ongoing brain dynamics has identified the prevailing modes of cortico-cortical interaction; however, little is known about how such patterns of intrinsically generated activity are correlated between cortical and subcortical brain areas. We investigate the correlation structure of ongoing cortical and superior colliculus (SC) activity across multiple spatial and temporal scales. Ongoing cortico-tectal interaction was characterized by correlated fluctuations in the amplitude of delta, spindle, low gamma, and high-frequency oscillations (>100 Hz). Of these identified coupling modes, topographical patterns of high-frequency coupling were the most consistent with patterns of anatomical connectivity, reflecting synchronized spiking within cortico-tectal networks. Cortico-tectal coupling at high frequencies was temporally parcellated by the phase of slow cortical oscillations and was strongest for SC-cortex channel pairs that displayed overlapping visual spatial receptive fields. Despite displaying a high degree of spatial specificity, cortico-tectal coupling in lower-frequency bands did not match patterns of cortex-to-SC anatomical connectivity. Collectively, our findings demonstrate that neural activity is spontaneously coupled between cortex and SC, with high- and low-frequency modes of coupling reflecting direct and indirect cortico-tectal interactions, respectively. American Association for the Advancement of Science 2015-08-07 /pmc/articles/PMC4643805/ /pubmed/26601226 http://dx.doi.org/10.1126/sciadv.1500229 Text en Copyright © 2015, The Authors http://creativecommons.org/licenses/by-nc/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-NonCommercial license (http://creativecommons.org/licenses/by-nc/4.0/) , which permits use, distribution, and reproduction in any medium, so long as the resultant use is not for commercial advantage and provided the original work is properly cited. |
spellingShingle | Research Articles Stitt, Iain Galindo-Leon, Edgar Pieper, Florian Engler, Gerhard Fiedler, Eva Stieglitz, Thomas Engel, Andreas K. Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks |
title | Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks |
title_full | Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks |
title_fullStr | Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks |
title_full_unstemmed | Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks |
title_short | Intrinsic coupling modes reveal the functional architecture of cortico-tectal networks |
title_sort | intrinsic coupling modes reveal the functional architecture of cortico-tectal networks |
topic | Research Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4643805/ https://www.ncbi.nlm.nih.gov/pubmed/26601226 http://dx.doi.org/10.1126/sciadv.1500229 |
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