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Human brain state dynamics reflect individual neuro-phenotypes
Neural activity and behavior manifest state and trait dynamics, as well as variation within and between individuals. However, the mapping of state-trait neural variation to behavior is not well understood. To address this gap, we quantify moment-to-moment changes in brain-wide co-activation patterns...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542143/ https://www.ncbi.nlm.nih.gov/pubmed/37790400 http://dx.doi.org/10.1101/2023.09.18.557763 |
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author | Lee, Kangjoo Ji, Jie Lisa Fonteneau, Clara Berkovitch, Lucie Rahmati, Masih Pan, Lining Repovš, Grega Krystal, John H. Murray, John D. Anticevic, Alan |
author_facet | Lee, Kangjoo Ji, Jie Lisa Fonteneau, Clara Berkovitch, Lucie Rahmati, Masih Pan, Lining Repovš, Grega Krystal, John H. Murray, John D. Anticevic, Alan |
author_sort | Lee, Kangjoo |
collection | PubMed |
description | Neural activity and behavior manifest state and trait dynamics, as well as variation within and between individuals. However, the mapping of state-trait neural variation to behavior is not well understood. To address this gap, we quantify moment-to-moment changes in brain-wide co-activation patterns derived from resting-state functional magnetic resonance imaging. In healthy young adults, we identify reproducible spatio-temporal features of co-activation patterns at the single subject level. We demonstrate that a joint analysis of state-trait neural variations and feature reduction reveal general motifs of individual differences, encompassing state-specific and general neural features that exhibit day-to-day variability. The principal neural variations co-vary with the principal variations of behavioral phenotypes, highlighting cognitive function, emotion regulation, alcohol and substance use. Person-specific probability of occupying a particular co-activation pattern is reproducible and associated with neural and behavioral features. This combined analysis of state-trait variations holds promise for developing reproducible neuroimaging markers of individual life functional outcome. |
format | Online Article Text |
id | pubmed-10542143 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105421432023-10-03 Human brain state dynamics reflect individual neuro-phenotypes Lee, Kangjoo Ji, Jie Lisa Fonteneau, Clara Berkovitch, Lucie Rahmati, Masih Pan, Lining Repovš, Grega Krystal, John H. Murray, John D. Anticevic, Alan bioRxiv Article Neural activity and behavior manifest state and trait dynamics, as well as variation within and between individuals. However, the mapping of state-trait neural variation to behavior is not well understood. To address this gap, we quantify moment-to-moment changes in brain-wide co-activation patterns derived from resting-state functional magnetic resonance imaging. In healthy young adults, we identify reproducible spatio-temporal features of co-activation patterns at the single subject level. We demonstrate that a joint analysis of state-trait neural variations and feature reduction reveal general motifs of individual differences, encompassing state-specific and general neural features that exhibit day-to-day variability. The principal neural variations co-vary with the principal variations of behavioral phenotypes, highlighting cognitive function, emotion regulation, alcohol and substance use. Person-specific probability of occupying a particular co-activation pattern is reproducible and associated with neural and behavioral features. This combined analysis of state-trait variations holds promise for developing reproducible neuroimaging markers of individual life functional outcome. Cold Spring Harbor Laboratory 2023-10-04 /pmc/articles/PMC10542143/ /pubmed/37790400 http://dx.doi.org/10.1101/2023.09.18.557763 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Lee, Kangjoo Ji, Jie Lisa Fonteneau, Clara Berkovitch, Lucie Rahmati, Masih Pan, Lining Repovš, Grega Krystal, John H. Murray, John D. Anticevic, Alan Human brain state dynamics reflect individual neuro-phenotypes |
title | Human brain state dynamics reflect individual neuro-phenotypes |
title_full | Human brain state dynamics reflect individual neuro-phenotypes |
title_fullStr | Human brain state dynamics reflect individual neuro-phenotypes |
title_full_unstemmed | Human brain state dynamics reflect individual neuro-phenotypes |
title_short | Human brain state dynamics reflect individual neuro-phenotypes |
title_sort | human brain state dynamics reflect individual neuro-phenotypes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10542143/ https://www.ncbi.nlm.nih.gov/pubmed/37790400 http://dx.doi.org/10.1101/2023.09.18.557763 |
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