Aberrant functional brain network organization is associated with relapse during 1-year follow-up in alcohol-dependent patients.
alcohol dependence
alcohol use disorder
alcoholism
connectomics
functional connectivity
graph theory
relapse
resting-state fMRI
Journal
Addiction biology
ISSN: 1369-1600
Titre abrégé: Addict Biol
Pays: United States
ID NLM: 9604935
Informations de publication
Date de publication:
11 2023
11 2023
Historique:
revised:
12
08
2023
received:
17
02
2023
accepted:
11
09
2023
medline:
23
10
2023
pubmed:
19
10
2023
entrez:
19
10
2023
Statut:
ppublish
Résumé
Alcohol dependence (AD) is a debilitating disease associated with high relapse rates even after long periods of abstinence. Thus, elucidating neurobiological substrates of relapse risk is fundamental for the development of novel targeted interventions that could promote long-lasting abstinence. In the present study, we analysed resting-state functional magnetic resonance imaging (rsfMRI) data from a sample of recently detoxified patients with AD (n = 93) who were followed up for 12 months after rsfMRI assessment. Specifically, we employed graph theoretic analyses to compare functional brain network topology and functional connectivity between future relapsers (REL, n = 59), future abstainers (ABS, n = 28) and age- and gender-matched controls (CON, n = 83). Our results suggest increased whole-brain network segregation, decreased global network integration and overall blunted connectivity strength in REL compared with CON. Conversely, we found evidence for a comparable network architecture in ABS relative to CON. At the nodal level, REL exhibited decreased integration and decoupling between multiple brain systems compared with CON, encompassing regions associated with higher-order executive functions, sensory and reward processing. Among patients with AD, increased coupling between nodes implicated in reward valuation and salience attribution constitutes a particular risk factor for future relapse. Importantly, aberrant network organization in REL was consistently associated with shorter abstinence duration during follow-up, portending to a putative neural signature of relapse risk in AD. Future research should further evaluate the potential diagnostic value of the identified changes in network topology and functional connectivity for relapse prediction at the individual subject level.
Substances chimiques
Ethanol
3K9958V90M
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13339Subventions
Organisme : German Federal Ministry of Education and Research (Bundesministerium für Bildung und Forschung)
ID : 01ZX1909C [SysMedSUDs to HW, AH]
Organisme : German Research Foundation (Deutsche Forschungsgemeinschaft)
ID : 178833530 [SFB 940 to MNS, MM, HW]
Organisme : German Research Foundation (Deutsche Forschungsgemeinschaft)
ID : 186318919 [FOR 16717 to AH, EF, MNS, HW]
Organisme : German Research Foundation (Deutsche Forschungsgemeinschaft)
ID : 402170461 [TRR 265 to AH, MNS, MM, HW]
Organisme : German Research Foundation (Deutsche Forschungsgemeinschaft)
ID : 454245598 [GRK 2773 to MNS]
Informations de copyright
© 2023 The Authors. Addiction Biology published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.
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