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Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain

When the brain is stimulated, for example, by sensory inputs or goal-oriented tasks, the brain initially responds with activities in specific areas. The subsequent pattern formation of functional networks is constrained by the structural connectivity (SC) of the brain. The extent to which informatio...

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Autores principales: Spiegler, Andreas, Hansen, Enrique C. A., Bernard, Christophe, McIntosh, Anthony R., Jirsa, Viktor K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society for Neuroscience 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052665/
https://www.ncbi.nlm.nih.gov/pubmed/27752540
http://dx.doi.org/10.1523/ENEURO.0068-16.2016
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author Spiegler, Andreas
Hansen, Enrique C. A.
Bernard, Christophe
McIntosh, Anthony R.
Jirsa, Viktor K.
author_facet Spiegler, Andreas
Hansen, Enrique C. A.
Bernard, Christophe
McIntosh, Anthony R.
Jirsa, Viktor K.
author_sort Spiegler, Andreas
collection PubMed
description When the brain is stimulated, for example, by sensory inputs or goal-oriented tasks, the brain initially responds with activities in specific areas. The subsequent pattern formation of functional networks is constrained by the structural connectivity (SC) of the brain. The extent to which information is processed over short- or long-range SC is unclear. Whole-brain models based on long-range axonal connections, for example, can partly describe measured functional connectivity dynamics at rest. Here, we study the effect of SC on the network response to stimulation. We use a human whole-brain network model comprising long- and short-range connections. We systematically activate each cortical or thalamic area, and investigate the network response as a function of its short- and long-range SC. We show that when the brain is operating at the edge of criticality, stimulation causes a cascade of network recruitments, collapsing onto a smaller space that is partly constrained by SC. We found both short- and long-range SC essential to reproduce experimental results. In particular, the stimulation of specific areas results in the activation of one or more resting-state networks. We suggest that the stimulus-induced brain activity, which may indicate information and cognitive processing, follows specific routes imposed by structural networks explaining the emergence of functional networks. We provide a lookup table linking stimulation targets and functional network activations, which potentially can be useful in diagnostics and treatments with brain stimulation.
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spelling pubmed-50526652016-10-17 Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain Spiegler, Andreas Hansen, Enrique C. A. Bernard, Christophe McIntosh, Anthony R. Jirsa, Viktor K. eNeuro New Research When the brain is stimulated, for example, by sensory inputs or goal-oriented tasks, the brain initially responds with activities in specific areas. The subsequent pattern formation of functional networks is constrained by the structural connectivity (SC) of the brain. The extent to which information is processed over short- or long-range SC is unclear. Whole-brain models based on long-range axonal connections, for example, can partly describe measured functional connectivity dynamics at rest. Here, we study the effect of SC on the network response to stimulation. We use a human whole-brain network model comprising long- and short-range connections. We systematically activate each cortical or thalamic area, and investigate the network response as a function of its short- and long-range SC. We show that when the brain is operating at the edge of criticality, stimulation causes a cascade of network recruitments, collapsing onto a smaller space that is partly constrained by SC. We found both short- and long-range SC essential to reproduce experimental results. In particular, the stimulation of specific areas results in the activation of one or more resting-state networks. We suggest that the stimulus-induced brain activity, which may indicate information and cognitive processing, follows specific routes imposed by structural networks explaining the emergence of functional networks. We provide a lookup table linking stimulation targets and functional network activations, which potentially can be useful in diagnostics and treatments with brain stimulation. Society for Neuroscience 2016-10-06 /pmc/articles/PMC5052665/ /pubmed/27752540 http://dx.doi.org/10.1523/ENEURO.0068-16.2016 Text en Copyright © 2016 Spiegler et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed.
spellingShingle New Research
Spiegler, Andreas
Hansen, Enrique C. A.
Bernard, Christophe
McIntosh, Anthony R.
Jirsa, Viktor K.
Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain
title Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain
title_full Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain
title_fullStr Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain
title_full_unstemmed Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain
title_short Selective Activation of Resting-State Networks following Focal Stimulation in a Connectome-Based Network Model of the Human Brain
title_sort selective activation of resting-state networks following focal stimulation in a connectome-based network model of the human brain
topic New Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5052665/
https://www.ncbi.nlm.nih.gov/pubmed/27752540
http://dx.doi.org/10.1523/ENEURO.0068-16.2016
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