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Tracking mood fluctuations with functional network patterns
Subjective mood is a psychophysiological property that depends on complex interactions among the central and peripheral nervous systems. How network interactions in the brain drive temporal fluctuations in mood is unknown. Here we investigate how functional network configuration relates to mood prof...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318473/ https://www.ncbi.nlm.nih.gov/pubmed/30481361 http://dx.doi.org/10.1093/scan/nsy107 |
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author | Mirchi, Nykan Betzel, Richard F Bernhardt, Boris C Dagher, Alain Mišić, Bratislav |
author_facet | Mirchi, Nykan Betzel, Richard F Bernhardt, Boris C Dagher, Alain Mišić, Bratislav |
author_sort | Mirchi, Nykan |
collection | PubMed |
description | Subjective mood is a psychophysiological property that depends on complex interactions among the central and peripheral nervous systems. How network interactions in the brain drive temporal fluctuations in mood is unknown. Here we investigate how functional network configuration relates to mood profiles in a single individual over the course of 1 year. Using data from the ‘MyConnectome Project’, we construct a comprehensive mapping between resting-state functional connectivity (FC) patterns and subjective mood scales using an associative multivariate technique (partial least squares). We report three principal findings. First, FC patterns reliably tracked daily fluctuations in mood. Second, positive mood was marked by an integrated architecture, with prominent interactions between canonical resting-state networks. Finally, one of the top-ranked nodes in mood-related network reconfiguration was the subgenual anterior cingulate cortex, an area commonly associated with mood regulation and dysregulation. Altogether, these results showcase the utility of highly sampled individual-focused data sets for affective neuroscience. |
format | Online Article Text |
id | pubmed-6318473 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-63184732019-01-07 Tracking mood fluctuations with functional network patterns Mirchi, Nykan Betzel, Richard F Bernhardt, Boris C Dagher, Alain Mišić, Bratislav Soc Cogn Affect Neurosci Original Article Subjective mood is a psychophysiological property that depends on complex interactions among the central and peripheral nervous systems. How network interactions in the brain drive temporal fluctuations in mood is unknown. Here we investigate how functional network configuration relates to mood profiles in a single individual over the course of 1 year. Using data from the ‘MyConnectome Project’, we construct a comprehensive mapping between resting-state functional connectivity (FC) patterns and subjective mood scales using an associative multivariate technique (partial least squares). We report three principal findings. First, FC patterns reliably tracked daily fluctuations in mood. Second, positive mood was marked by an integrated architecture, with prominent interactions between canonical resting-state networks. Finally, one of the top-ranked nodes in mood-related network reconfiguration was the subgenual anterior cingulate cortex, an area commonly associated with mood regulation and dysregulation. Altogether, these results showcase the utility of highly sampled individual-focused data sets for affective neuroscience. Oxford University Press 2018-11-27 /pmc/articles/PMC6318473/ /pubmed/30481361 http://dx.doi.org/10.1093/scan/nsy107 Text en © The Author(s) (2018). Published by Oxford University Press. http://creativecommons.org/licenses/by/4.0/ 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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Mirchi, Nykan Betzel, Richard F Bernhardt, Boris C Dagher, Alain Mišić, Bratislav Tracking mood fluctuations with functional network patterns |
title | Tracking mood fluctuations with functional network patterns |
title_full | Tracking mood fluctuations with functional network patterns |
title_fullStr | Tracking mood fluctuations with functional network patterns |
title_full_unstemmed | Tracking mood fluctuations with functional network patterns |
title_short | Tracking mood fluctuations with functional network patterns |
title_sort | tracking mood fluctuations with functional network patterns |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6318473/ https://www.ncbi.nlm.nih.gov/pubmed/30481361 http://dx.doi.org/10.1093/scan/nsy107 |
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