ArticleCommunications biology2021
An integrated multimodal model of alcohol use disorder generated by data-driven causal discovery analysis.
Article in Communications biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
23 citing papers in PubMed.
- Brain regulation training improves emotional competences in patients with alcohol use disorder.Social cognitive and affective neuroscience · 2024Trial
- Frontal tDCS reduces alcohol relapse rates by increasing connections from left dorsolateral prefrontal cortex to addiction networks.Brain stimulationTrial
- Causal Discovery in Observational Medical Research: Scoping Review.JMIR medical informatics · 2026Article
- Examining Causal Pathways to Suicidal Ideation and Nonsuicidal Self-Injury in the Adolescent Brain Cognitive Development Study.Suicide & life-threatening behavior · 2025Article
- Environmental, Health, and Psychological Factors Predict Alcohol Sipping in Childhood: A Machine Learning Analysis of the ABCD Study.JAACAP open · 2025Article
- An ecological momentary assessment of the dynamic relationship between microaggression, idea of reference and affects in patients with first-episode psychosis.BMC psychiatry · 2025Article
- Mechanism-based subtyping in binge eating: understanding neurobehavioral heterogeneity across negative emotionality, approach behavior, and executive function.Translational psychiatry · 2025Article
- Behavioral Markers in Older Adults During COVID-19 Confinement: Secondary Analysis of In-Home Sensor Data.JMIR mHealth and uHealth · 2025Article
- Modeling social cognition in alcohol use disorder: lessons from schizophrenia.Psychopharmacology · 2025Review
- Article
- Behavioral Neurobiology of Alcohol Addiction: A Decade of Great Challenges, New Hopes, and Hypes.Current topics in behavioral neurosciences · 2025Review
- Exploring Causal Pathways to Sleep Quality in Young Adults Using a Multimodal Data-Driven Causal Discovery Analysis.Nature and science of sleep · 2025Article
- Emerging pharmacological targets for alcohol use disorder.Alcohol (Fayetteville, N.Y.) · 2024Review
- Alcohol milestones and internalizing, externalizing, and executive function: longitudinal and polygenic score associations.Psychological medicine · 2024Article
- Power Analysis for Causal Discovery.International journal of data science and analytics · 2024Article
- A systematic review of sex/gender differences in the multi-dimensional neurobiological mechanisms in addiction and their relevance to impulsivity.Current addiction reports · 2023Article
- Subtypes in addiction and their neurobehavioral profiles across three functional domains.Translational psychiatry · 2023Article
- An individualized causal framework for learning intercellular communication networks that define microenvironments of individual tumors.PLoS computational biology · 2022Article
- The resting-state causal human connectome is characterized by hub connectivity of executive and attentional networks.NeuroImage · 2022Article
- A scoping review of electroencephalographic (EEG) markers for tracking neurophysiological changes and predicting outcomes in substance use disorder treatment.Frontiers in human neuroscience · 2022Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Alcohol use disorder (AUD) has high prevalence and adverse societal impacts, but our understanding of the factors driving AUD is hampered by a lack of studies that describe the complex neurobehavioral mechanisms driving AUD. We analyzed causal pathways to AUD severity using Causal Discovery Analysis (CDA) with data from the Human Connectome Project (HCP; n = 926 [54% female], 22% AUD [37% female]). We applied exploratory factor analysis to parse the wide HCP phenotypic space (100 measures) into 18 underlying domains, and we assessed functional connectivity within 12 resting-state brain networks. We then employed data-driven CDA to generate a causal model relating phenotypic factors, fMRI network connectivity, and AUD symptom severity, which highlighted a limited set of causes of AUD. The model proposed a hierarchy with causal influence propagating from brain connectivity to cognition (fluid/crystalized cognition, language/math ability, & working memory) to social (agreeableness/social support) to affective/psychiatric function (negative affect, low conscientiousness/attention, externalizing symptoms) and ultimately AUD severity. Our data-driven model confirmed hypothesized influences of cognitive and affective factors on AUD, while underscoring that addiction models need to be expanded to highlight the importance of social factors, amongst others.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.