Multi‐level prediction of substance use: Interaction of white matter integrity, resting‐state connectivity and inhibitory control measured repeatedly in every‐day life

Author:

Chirokoff Valentine12ORCID,Pohl Kilian M.3,Berthoz Sylvie14ORCID,Fatseas Melina156ORCID,Misdrahi David15,Serre Fuschia7,Auriacombe Marc57ORCID,Pfefferbaum Adolf38,Sullivan Edith V.3ORCID,Chanraud Sandra12

Affiliation:

1. Univ. Bordeaux, INCIA CNRS‐UMR 5287 Bordeaux France

2. EPHE PSL Research University Paris France

3. Department of Psychiatry & Behavioral Sciences Stanford University School of Medicine Stanford California USA

4. Department of Psychiatry for Adolescents and Young Adults Institut Mutualiste Montsouris Paris France

5. CH Charles Perrens Bordeaux France

6. CHU Bordeaux Bordeaux France

7. CNRS UMR 6033 – Sleep, Addiction and Neuropsychiatry (SANPSY) University of Bordeaux Bordeaux France

8. Center for Health Sciences SRI International Menlo Park California USA

Abstract

AbstractSubstance 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.

Funder

École Pratique des Hautes Études, Université de Recherche Paris Sciences et Lettres

National Institute on Alcohol Abuse and Alcoholism

Fulbright Association

Agence Nationale de la Recherche

Fondation pour la Recherche Médicale

Intramural Research Program

Publisher

Wiley

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