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

IF 3.1 3区 医学 Q3 BIOCHEMISTRY & MOLECULAR BIOLOGY
Valentine Chirokoff, Kilian M. Pohl, Sylvie Berthoz, Melina Fatseas, David Misdrahi, Fuschia Serre, Marc Auriacombe, Adolf Pfefferbaum, Edith V. Sullivan, Sandra Chanraud
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Abstract

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.

Abstract Image

药物使用的多层次预测:在日常生活中反复测量的白质完整性、静息状态连通性和抑制控制的相互作用
药物使用障碍的特点是与白质通路连接紊乱有关的抑制缺陷,通过相互作用导致难以抵制药物使用。通过将神经影像学与基于智能手机的生态瞬间评估(EMA)相结合,我们对生物标志物如何调节抑制缺陷以预测药物使用提出了质疑。因此,我们旨在评估白质完整性与日常抑制缺陷的相互作用以及相关的静息态网络连接,以确定药物使用的多维预测因素。38名接受过酒精、大麻或烟草使用障碍治疗的患者完成了为期一周的EMA,报告了五次药物使用情况,并完成了每天两次的Stroop抑制测试。在进行 EMA 追踪之前,参与者接受了静息状态功能磁共振成像(MRI)和弥散张量成像(DTI)扫描。在平均 Stroop 表现和全脑白质分数各向异性(FA)之间进行回归分析。在作为调节因子的重要集群内的平均FA与作为结果的瞬间Stroop表现和使用之间的联系之间进行了调节测试。采用混合建模法评估了FA与已知抑制相关网络的静息态连接强度之间的预测。胼胝体前部和双侧放射冠前部较高的 FA 值可预测 EMA 周较高的 Stroop 平均成绩,以及枕叶-额叶-小脑区域较强的功能连接。这些区域的完整性缓和了抑制控制与药物使用之间的联系,即较强的抑制作用可预测最高 FA 值的药物使用概率最低。总之,大脑前部系统的白质结构完整性受损似乎是抑制控制功能网络受损和避免使用药物的能力受损的基础。
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来源期刊
Addiction Biology
Addiction Biology 生物-生化与分子生物学
CiteScore
8.10
自引率
2.90%
发文量
118
审稿时长
6-12 weeks
期刊介绍: Addiction Biology is focused on neuroscience contributions and it aims to advance our understanding of the action of drugs of abuse and addictive processes. Papers are accepted in both animal experimentation or clinical research. The content is geared towards behavioral, molecular, genetic, biochemical, neuro-biological and pharmacology aspects of these fields. Addiction Biology includes peer-reviewed original research reports and reviews. Addiction Biology is published on behalf of the Society for the Study of Addiction to Alcohol and other Drugs (SSA). Members of the Society for the Study of Addiction receive the Journal as part of their annual membership subscription.
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