Multi-level prediction of substance use: Interaction of white matter integrity, resting-state connectivity and inhibitory control measured repeatedly in every-day life.
Humans
White Matter
/ diagnostic imaging
Male
Female
Adult
Inhibition, Psychological
Diffusion Tensor Imaging
Magnetic Resonance Imaging
Ecological Momentary Assessment
Substance-Related Disorders
/ physiopathology
Stroop Test
Alcoholism
/ physiopathology
Brain
/ diagnostic imaging
Middle Aged
Tobacco Use Disorder
/ physiopathology
Marijuana Abuse
/ physiopathology
Corpus Callosum
/ diagnostic imaging
Smartphone
Neural Pathways
/ diagnostic imaging
Anisotropy
Young Adult
EMA
SUD
Stroop
inhibition
resting state
white matter
Journal
Addiction biology
ISSN: 1369-1600
Titre abrégé: Addict Biol
Pays: United States
ID NLM: 9604935
Informations de publication
Date de publication:
May 2024
May 2024
Historique:
revised:
15
04
2024
received:
03
10
2023
accepted:
16
04
2024
medline:
6
5
2024
pubmed:
6
5
2024
entrez:
6
5
2024
Statut:
ppublish
Résumé
Substance use disorders are characterized by inhibition deficits related to disrupted connectivity in white matter pathways, leading via interaction to difficulties in resisting substance use. By combining neuroimaging with smartphone-based ecological momentary assessment (EMA), we questioned how biomarkers moderate inhibition deficits to predict use. Thus, we aimed to assess white matter integrity interaction with everyday inhibition deficits and related resting-state network connectivity to identify multi-dimensional predictors of substance use. Thirty-eight patients treated for alcohol, cannabis or tobacco use disorder completed 1 week of EMA to report substance use five times and complete Stroop inhibition testing twice daily. Before EMA tracking, participants underwent resting state functional MRI and diffusion tensor imaging (DTI) scanning. Regression analyses were conducted between mean Stroop performances and whole-brain fractional anisotropy (FA) in white matter. Moderation testing was conducted between mean FA within significant clusters as moderator and the link between momentary Stroop performance and use as outcome. Predictions between FA and resting-state connectivity strength in known inhibition-related networks were assessed using mixed modelling. Higher FA values in the anterior corpus callosum and bilateral anterior corona radiata predicted higher mean Stroop performance during the EMA week and stronger functional connectivity in occipital-frontal-cerebellar regions. Integrity in these regions moderated the link between inhibitory control and substance use, whereby stronger inhibition was predictive of the lowest probability of use for the highest FA values. In conclusion, compromised white matter structural integrity in anterior brain systems appears to underlie impairment in inhibitory control functional networks and compromised ability to refrain from substance use.
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
e13400Subventions
Organisme : NIAAA NIH HHS
ID : AA10723
Pays : United States
Organisme : NIAAA NIH HHS
ID : AA005965
Pays : United States
Informations de copyright
© 2024 The Authors. Addiction Biology published by John Wiley & Sons Ltd on behalf of Society for the Study of Addiction.
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