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Frontostriatal salience network expansion in individuals in depression.

Authors :
Lynch CJ
Elbau IG
Ng T
Ayaz A
Zhu S
Wolk D
Manfredi N
Johnson M
Chang M
Chou J
Summerville I
Ho C
Lueckel M
Bukhari H
Buchanan D
Victoria LW
Solomonov N
Goldwaser E
Moia S
Caballero-Gaudes C
Downar J
Vila-Rodriguez F
Daskalakis ZJ
Blumberger DM
Kay K
Aloysi A
Gordon EM
Bhati MT
Williams N
Power JD
Zebley B
Grosenick L
Gunning FM
Liston C
Source :
Nature [Nature] 2024 Sep; Vol. 633 (8030), pp. 624-633. Date of Electronic Publication: 2024 Sep 04.
Publication Year :
2024

Abstract

Decades of neuroimaging studies have shown modest differences in brain structure and connectivity in depression, hindering mechanistic insights or the identification of risk factors for disease onset <superscript>1</superscript> . Furthermore, whereas depression is episodic, few longitudinal neuroimaging studies exist, limiting understanding of mechanisms that drive mood-state transitions. The emerging field of precision functional mapping has used densely sampled longitudinal neuroimaging data to show behaviourally meaningful differences in brain network topography and connectivity between and in healthy individuals <superscript>2-4</superscript> , but this approach has not been applied in depression. Here, using precision functional mapping and several samples of deeply sampled individuals, we found that the frontostriatal salience network is expanded nearly twofold in the cortex of most individuals with depression. This effect was replicable in several samples and caused primarily by network border shifts, with three distinct modes of encroachment occurring in different individuals. Salience network expansion was stable over time, unaffected by mood state and detectable in children before the onset of depression later in adolescence. Longitudinal analyses of individuals scanned up to 62 times over 1.5 years identified connectivity changes in frontostriatal circuits that tracked fluctuations in specific symptoms and predicted future anhedonia symptoms. Together, these findings identify a trait-like brain network topology that may confer risk for depression and mood-state-dependent connectivity changes in frontostriatal circuits that predict the emergence and remission of depressive symptoms over time.<br /> (© 2024. The Author(s).)

Details

Language :
English
ISSN :
1476-4687
Volume :
633
Issue :
8030
Database :
MEDLINE
Journal :
Nature
Publication Type :
Academic Journal
Accession number :
39232159
Full Text :
https://doi.org/10.1038/s41586-024-07805-2