The modulation of neural gain facilitates a transition between functional segregation and integration in the brain
Cognitive function relies on a dynamic, context-sensitive balance between functional integration and segregation in the brain. Previous work has proposed that this balance is mediated by global fluctuations in neural gain by projections from ascending neuromodulatory nuclei. To test this hypothesis...
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doaj-bbf3e81e8a8648f095021dcfaee33d412021-05-05T15:33:23ZengeLife Sciences Publications LtdeLife2050-084X2018-01-01710.7554/eLife.31130The modulation of neural gain facilitates a transition between functional segregation and integration in the brainJames M Shine0https://orcid.org/0000-0003-1762-5499Matthew J Aburn1Michael Breakspear2Russell A Poldrack3https://orcid.org/0000-0001-6755-0259Department of Psychology, Stanford University, Stanford, United States; Central Clinical School, The University of Sydney, Sydney, AustraliaQIMR Berghofer Medical Research Institute, Brisbane, AustraliaQIMR Berghofer Medical Research Institute, Brisbane, Australia; Metro North Mental Health Service, Brisbane, AustraliaDepartment of Psychology, Stanford University, Stanford, United StatesCognitive function relies on a dynamic, context-sensitive balance between functional integration and segregation in the brain. Previous work has proposed that this balance is mediated by global fluctuations in neural gain by projections from ascending neuromodulatory nuclei. To test this hypothesis in silico, we studied the effects of neural gain on network dynamics in a model of large-scale neuronal dynamics. We found that increases in neural gain directed the network through an abrupt dynamical transition, leading to an integrated network topology that was maximal in frontoparietal ‘rich club’ regions. This gain-mediated transition was also associated with increased topological complexity, as well as increased variability in time-resolved topological structure, further highlighting the potential computational benefits of the gain-mediated network transition. These results support the hypothesis that neural gain modulation has the computational capacity to mediate the balance between integration and segregation in the brain.https://elifesciences.org/articles/31130integrationneural gainnoradrenalinebiophysical ModelexcitabilityBOLD |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
James M Shine Matthew J Aburn Michael Breakspear Russell A Poldrack |
spellingShingle |
James M Shine Matthew J Aburn Michael Breakspear Russell A Poldrack The modulation of neural gain facilitates a transition between functional segregation and integration in the brain eLife integration neural gain noradrenaline biophysical Model excitability BOLD |
author_facet |
James M Shine Matthew J Aburn Michael Breakspear Russell A Poldrack |
author_sort |
James M Shine |
title |
The modulation of neural gain facilitates a transition between functional segregation and integration in the brain |
title_short |
The modulation of neural gain facilitates a transition between functional segregation and integration in the brain |
title_full |
The modulation of neural gain facilitates a transition between functional segregation and integration in the brain |
title_fullStr |
The modulation of neural gain facilitates a transition between functional segregation and integration in the brain |
title_full_unstemmed |
The modulation of neural gain facilitates a transition between functional segregation and integration in the brain |
title_sort |
modulation of neural gain facilitates a transition between functional segregation and integration in the brain |
publisher |
eLife Sciences Publications Ltd |
series |
eLife |
issn |
2050-084X |
publishDate |
2018-01-01 |
description |
Cognitive function relies on a dynamic, context-sensitive balance between functional integration and segregation in the brain. Previous work has proposed that this balance is mediated by global fluctuations in neural gain by projections from ascending neuromodulatory nuclei. To test this hypothesis in silico, we studied the effects of neural gain on network dynamics in a model of large-scale neuronal dynamics. We found that increases in neural gain directed the network through an abrupt dynamical transition, leading to an integrated network topology that was maximal in frontoparietal ‘rich club’ regions. This gain-mediated transition was also associated with increased topological complexity, as well as increased variability in time-resolved topological structure, further highlighting the potential computational benefits of the gain-mediated network transition. These results support the hypothesis that neural gain modulation has the computational capacity to mediate the balance between integration and segregation in the brain. |
topic |
integration neural gain noradrenaline biophysical Model excitability BOLD |
url |
https://elifesciences.org/articles/31130 |
work_keys_str_mv |
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