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Centralized and distributed cognitive task processing in the human connectome

A key question in modern neuroscience is how cognitive changes in a human brain can be quantified and captured by functional connectivity (FC). A systematic approach to measure pairwise functional distance at different brain states is lacking. This would provide a straightforward way to quantify dif...

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Detalles Bibliográficos
Autores principales: Amico, Enrico, Arenas, Alex, Goñi, Joaquín
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MIT Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370483/
https://www.ncbi.nlm.nih.gov/pubmed/30793091
http://dx.doi.org/10.1162/netn_a_00072
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author Amico, Enrico
Arenas, Alex
Goñi, Joaquín
author_facet Amico, Enrico
Arenas, Alex
Goñi, Joaquín
author_sort Amico, Enrico
collection PubMed
description A key question in modern neuroscience is how cognitive changes in a human brain can be quantified and captured by functional connectivity (FC). A systematic approach to measure pairwise functional distance at different brain states is lacking. This would provide a straightforward way to quantify differences in cognitive processing across tasks; also, it would help in relating these differences in task-based FCs to the underlying structural network. Here we propose a framework, based on the concept of Jensen-Shannon divergence, to map the task-rest connectivity distance between tasks and resting-state FC. We show how this information theoretical measure allows for quantifying connectivity changes in distributed and centralized processing in functional networks. We study resting state and seven tasks from the Human Connectome Project dataset to obtain the most distant links across tasks. We investigate how these changes are associated with different functional brain networks, and use the proposed measure to infer changes in the information-processing regimes. Furthermore, we show how the FC distance from resting state is shaped by structural connectivity, and to what extent this relationship depends on the task. This framework provides a well-grounded mathematical quantification of connectivity changes associated with cognitive processing in large-scale brain networks.
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spelling pubmed-63704832019-02-21 Centralized and distributed cognitive task processing in the human connectome Amico, Enrico Arenas, Alex Goñi, Joaquín Netw Neurosci Research Articles A key question in modern neuroscience is how cognitive changes in a human brain can be quantified and captured by functional connectivity (FC). A systematic approach to measure pairwise functional distance at different brain states is lacking. This would provide a straightforward way to quantify differences in cognitive processing across tasks; also, it would help in relating these differences in task-based FCs to the underlying structural network. Here we propose a framework, based on the concept of Jensen-Shannon divergence, to map the task-rest connectivity distance between tasks and resting-state FC. We show how this information theoretical measure allows for quantifying connectivity changes in distributed and centralized processing in functional networks. We study resting state and seven tasks from the Human Connectome Project dataset to obtain the most distant links across tasks. We investigate how these changes are associated with different functional brain networks, and use the proposed measure to infer changes in the information-processing regimes. Furthermore, we show how the FC distance from resting state is shaped by structural connectivity, and to what extent this relationship depends on the task. This framework provides a well-grounded mathematical quantification of connectivity changes associated with cognitive processing in large-scale brain networks. MIT Press 2019-02-01 /pmc/articles/PMC6370483/ /pubmed/30793091 http://dx.doi.org/10.1162/netn_a_00072 Text en © 2018 Massachusetts Institute of Technology This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://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/legalcode.
spellingShingle Research Articles
Amico, Enrico
Arenas, Alex
Goñi, Joaquín
Centralized and distributed cognitive task processing in the human connectome
title Centralized and distributed cognitive task processing in the human connectome
title_full Centralized and distributed cognitive task processing in the human connectome
title_fullStr Centralized and distributed cognitive task processing in the human connectome
title_full_unstemmed Centralized and distributed cognitive task processing in the human connectome
title_short Centralized and distributed cognitive task processing in the human connectome
title_sort centralized and distributed cognitive task processing in the human connectome
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6370483/
https://www.ncbi.nlm.nih.gov/pubmed/30793091
http://dx.doi.org/10.1162/netn_a_00072
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