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Network controllability mediates the relationship between rigid structure and flexible dynamics

Precisely how the anatomical structure of the brain supports a wide range of complex functions remains a question of marked importance in both basic and clinical neuroscience. Progress has been hampered by the lack of theoretical frameworks explaining how a structural network of relatively rigid int...

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Autores principales: Gu, Shi, Fotiadis, Panagiotis, Parkes, Linden, Xia, Cedric H., Gur, Ruben C., Gur, Raquel E., Roalf, David R., Satterthwaite, Theodore D., Bassett, Dani S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810281/
https://www.ncbi.nlm.nih.gov/pubmed/36605890
http://dx.doi.org/10.1162/netn_a_00225
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author Gu, Shi
Fotiadis, Panagiotis
Parkes, Linden
Xia, Cedric H.
Gur, Ruben C.
Gur, Raquel E.
Roalf, David R.
Satterthwaite, Theodore D.
Bassett, Dani S.
author_facet Gu, Shi
Fotiadis, Panagiotis
Parkes, Linden
Xia, Cedric H.
Gur, Ruben C.
Gur, Raquel E.
Roalf, David R.
Satterthwaite, Theodore D.
Bassett, Dani S.
author_sort Gu, Shi
collection PubMed
description Precisely how the anatomical structure of the brain supports a wide range of complex functions remains a question of marked importance in both basic and clinical neuroscience. Progress has been hampered by the lack of theoretical frameworks explaining how a structural network of relatively rigid interareal connections can produce a diverse repertoire of functional neural dynamics. Here, we address this gap by positing that the brain’s structural network architecture determines the set of accessible functional connectivity patterns according to predictions of network control theory. In a large developmental cohort of 823 youths aged 8 to 23 years, we found that the flexibility of a brain region’s functional connectivity was positively correlated with the proportion of its structural links extending to different cognitive systems. Notably, this relationship was mediated by nodes’ boundary controllability, suggesting that a region’s strategic location on the boundaries of modules may underpin the capacity to integrate information across different cognitive processes. Broadly, our study provides a mechanistic framework that illustrates how temporal flexibility observed in functional networks may be mediated by the controllability of the underlying structural connectivity.
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spelling pubmed-98102812023-01-04 Network controllability mediates the relationship between rigid structure and flexible dynamics Gu, Shi Fotiadis, Panagiotis Parkes, Linden Xia, Cedric H. Gur, Ruben C. Gur, Raquel E. Roalf, David R. Satterthwaite, Theodore D. Bassett, Dani S. Netw Neurosci Research Article Precisely how the anatomical structure of the brain supports a wide range of complex functions remains a question of marked importance in both basic and clinical neuroscience. Progress has been hampered by the lack of theoretical frameworks explaining how a structural network of relatively rigid interareal connections can produce a diverse repertoire of functional neural dynamics. Here, we address this gap by positing that the brain’s structural network architecture determines the set of accessible functional connectivity patterns according to predictions of network control theory. In a large developmental cohort of 823 youths aged 8 to 23 years, we found that the flexibility of a brain region’s functional connectivity was positively correlated with the proportion of its structural links extending to different cognitive systems. Notably, this relationship was mediated by nodes’ boundary controllability, suggesting that a region’s strategic location on the boundaries of modules may underpin the capacity to integrate information across different cognitive processes. Broadly, our study provides a mechanistic framework that illustrates how temporal flexibility observed in functional networks may be mediated by the controllability of the underlying structural connectivity. MIT Press 2022-02-01 /pmc/articles/PMC9810281/ /pubmed/36605890 http://dx.doi.org/10.1162/netn_a_00225 Text en © 2021 Massachusetts Institute of Technology https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. For a full description of the license, please visit https://creativecommons.org/licenses/by/4.0/.
spellingShingle Research Article
Gu, Shi
Fotiadis, Panagiotis
Parkes, Linden
Xia, Cedric H.
Gur, Ruben C.
Gur, Raquel E.
Roalf, David R.
Satterthwaite, Theodore D.
Bassett, Dani S.
Network controllability mediates the relationship between rigid structure and flexible dynamics
title Network controllability mediates the relationship between rigid structure and flexible dynamics
title_full Network controllability mediates the relationship between rigid structure and flexible dynamics
title_fullStr Network controllability mediates the relationship between rigid structure and flexible dynamics
title_full_unstemmed Network controllability mediates the relationship between rigid structure and flexible dynamics
title_short Network controllability mediates the relationship between rigid structure and flexible dynamics
title_sort network controllability mediates the relationship between rigid structure and flexible dynamics
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9810281/
https://www.ncbi.nlm.nih.gov/pubmed/36605890
http://dx.doi.org/10.1162/netn_a_00225
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