Robust dynamic brain coactivation states estimated in individuals
A confluence of evidence indicates that brain functional connectivity is not static but rather dynamic. Capturing transient network interactions in the individual brain requires a technology that offers sufficient within-subject reliability. Here, we introduce an individualized network-based dynamic analysis technique and demonstrate that it is reliable in detecting subject-specific brain states during both resting state and a cognitively challenging language task. We evaluate the extent to which brain states show hemispheric asymmetries and how various phenotypic factors such as handedness and gender might influence network dynamics, discovering a right-lateralized brain state that occurred more frequently in men than in women and more frequently in right-handed versus left-handed individuals. Longitudinal brain state changes were also shown in 42 patients with subcortical stroke over 6 months. Our approach could quantify subject-specific dynamic brain states and has potential for use in both basic and clinical neuroscience research.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:9 |
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| Enthalten in: |
Science advances - 9(2023), 3 vom: 18. Jan., Seite eabq8566 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Peng, Xiaolong [VerfasserIn] |
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| Links: |
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| Themen: |
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| Anmerkungen: |
Date Completed 19.01.2023 Date Revised 31.01.2023 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1126/sciadv.abq8566 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM351633227 |
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| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a A confluence of evidence indicates that brain functional connectivity is not static but rather dynamic. Capturing transient network interactions in the individual brain requires a technology that offers sufficient within-subject reliability. Here, we introduce an individualized network-based dynamic analysis technique and demonstrate that it is reliable in detecting subject-specific brain states during both resting state and a cognitively challenging language task. We evaluate the extent to which brain states show hemispheric asymmetries and how various phenotypic factors such as handedness and gender might influence network dynamics, discovering a right-lateralized brain state that occurred more frequently in men than in women and more frequently in right-handed versus left-handed individuals. Longitudinal brain state changes were also shown in 42 patients with subcortical stroke over 6 months. Our approach could quantify subject-specific dynamic brain states and has potential for use in both basic and clinical neuroscience research | ||
| 650 | 4 | |a Journal Article | |
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| 700 | 1 | |a Hubbard, Catherine S |e verfasserin |4 aut | |
| 700 | 1 | |a Wang, Danhong |e verfasserin |4 aut | |
| 700 | 1 | |a Zhu, Wenzhen |e verfasserin |4 aut | |
| 700 | 1 | |a Fox, Michael D |e verfasserin |4 aut | |
| 700 | 1 | |a Liu, Hesheng |e verfasserin |4 aut | |
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