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Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing

Individuality, the uniqueness that distinguishes one person from another, may manifest as diverse rearrangements of functional connectivity during heterogeneous cognitive demands; yet, the neurobiological substrates of individuality, reflected in inter-individual variations of large-scale functional...

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Autores principales: Jang, Changwon, Knight, Elizabeth Quattrocki, Pae, Chongwon, Park, Bumhee, Yoon, Shin-Ae, Park, Hae-Jeong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256084/
https://www.ncbi.nlm.nih.gov/pubmed/28112247
http://dx.doi.org/10.1038/srep41414
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author Jang, Changwon
Knight, Elizabeth Quattrocki
Pae, Chongwon
Park, Bumhee
Yoon, Shin-Ae
Park, Hae-Jeong
author_facet Jang, Changwon
Knight, Elizabeth Quattrocki
Pae, Chongwon
Park, Bumhee
Yoon, Shin-Ae
Park, Hae-Jeong
author_sort Jang, Changwon
collection PubMed
description Individuality, the uniqueness that distinguishes one person from another, may manifest as diverse rearrangements of functional connectivity during heterogeneous cognitive demands; yet, the neurobiological substrates of individuality, reflected in inter-individual variations of large-scale functional connectivity, have not been fully evidenced. Accordingly, we explored inter-individual variations of functional connectivity dynamics, subnetwork patterns and modular architecture while subjects watched identical video clips designed to induce different arousal levels. How inter-individual variations are manifested in the functional brain networks was examined with respect to four contrasting divisions: edges within the anterior versus posterior part of the brain, edges with versus without corresponding anatomically-defined structural pathways, inter- versus intra-module connections, and rich club edge types. Inter-subject variation in dynamic functional connectivity occurred to a greater degree within edges localized to anterior rather than posterior brain regions, without adhering to structural connectivity, between modules as opposed to within modules, and in weak-tie local edges rather than strong-tie rich-club edges. Arousal level significantly modulates inter-subject variability in functional connectivity, edge patterns, and modularity, and particularly enhances the synchrony of rich-club edges. These results imply that individuality resides in the dynamic reconfiguration of large-scale brain networks in response to a stream of cognitive demands.
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spelling pubmed-52560842017-01-24 Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing Jang, Changwon Knight, Elizabeth Quattrocki Pae, Chongwon Park, Bumhee Yoon, Shin-Ae Park, Hae-Jeong Sci Rep Article Individuality, the uniqueness that distinguishes one person from another, may manifest as diverse rearrangements of functional connectivity during heterogeneous cognitive demands; yet, the neurobiological substrates of individuality, reflected in inter-individual variations of large-scale functional connectivity, have not been fully evidenced. Accordingly, we explored inter-individual variations of functional connectivity dynamics, subnetwork patterns and modular architecture while subjects watched identical video clips designed to induce different arousal levels. How inter-individual variations are manifested in the functional brain networks was examined with respect to four contrasting divisions: edges within the anterior versus posterior part of the brain, edges with versus without corresponding anatomically-defined structural pathways, inter- versus intra-module connections, and rich club edge types. Inter-subject variation in dynamic functional connectivity occurred to a greater degree within edges localized to anterior rather than posterior brain regions, without adhering to structural connectivity, between modules as opposed to within modules, and in weak-tie local edges rather than strong-tie rich-club edges. Arousal level significantly modulates inter-subject variability in functional connectivity, edge patterns, and modularity, and particularly enhances the synchrony of rich-club edges. These results imply that individuality resides in the dynamic reconfiguration of large-scale brain networks in response to a stream of cognitive demands. Nature Publishing Group 2017-01-23 /pmc/articles/PMC5256084/ /pubmed/28112247 http://dx.doi.org/10.1038/srep41414 Text en Copyright © 2017, The Author(s) http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Jang, Changwon
Knight, Elizabeth Quattrocki
Pae, Chongwon
Park, Bumhee
Yoon, Shin-Ae
Park, Hae-Jeong
Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
title Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
title_full Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
title_fullStr Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
title_full_unstemmed Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
title_short Individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
title_sort individuality manifests in the dynamic reconfiguration of large-scale brain networks during movie viewing
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5256084/
https://www.ncbi.nlm.nih.gov/pubmed/28112247
http://dx.doi.org/10.1038/srep41414
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