Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Mapping data-driven individualized neurobehavioral phenotypes in heavy alcohol drinkers.

Alcoholism, clinical and experimental research - 1 Apr 2021

DeMartini Kelly S, Gueorguieva Ralitza, Pearlson Godfrey, Krishnan-Sarin Suchitra, Anticevic Alan, Ji Lisa J, Krystal John H, O'Malley Stephanie S

Abstract excerpt

OBJECTIVE: Recent studies have examined the factor structure and associated correlates of three neurofunctional domains, executive function, incentive salience, and negative emotionality in the development and maintenance of alcohol use disorders in clinical samples. The current study sought to replicate and extend prior work by testing this 3-factor model, utilizing both exact and similar phenotypic measures, as...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Adverse Childhood Experiences
Share to Alcohol Drinking

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Depression

Share to Factor Analysis, Statistical

Share to Impulsive Behavior

Share to Motivation

Share to Phenotype

Share to Young Adult

Source

Open in PubMed Open full text

Identifiers

PMID: 33605439
DOI: 10.1111/acer.14580
PMCID: PMC13037707

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Mapping data-driven individualized neurobehavioral phenotypes in heavy alcohol drinkers.PMID 33605439Read ↗

New approaches to deep phenotyping in addictionsSemantic proximity Read ↗

An Integrated Multimodal Model of Alcohol Use Disorder Generated by Data-Driven Causal Discovery AnalysisSemantic proximity Read ↗

Psychometric and genetic architecture of substance use disorder and behavioral disinhibition measures for gene association studies.Semantic proximity Read ↗

Genetic Heterogeneity Across Dimensions of Alcohol Use BehaviorsSemantic proximity Read ↗

Identifying neurobiological phenotypes associated with alcohol use disorder severity.Semantic proximity Read ↗

MAC/MAB–RCS: An Integrative Regulatory Control Framework for Risk Stratification and Personalized Intervention in Addiction PsychiatrySemantic proximity Read ↗

Neuropsychosocial profiles of current and future adolescent alcohol misusers.Semantic proximity Read ↗

Executive Function as an Underlying Mechanism of Alcohol Use, Aggression, and ADHDSemantic proximity Read ↗

Partitioning the Genomic Components of Behavioral Disinhibition and Substance Use (Disorder) Using Genomic Structural Equation Modeling.Semantic proximity Read ↗

Functional networks of reward and punishment processing and their molecular profiles predicting the severity of young adult drinkingSemantic proximity Read ↗

Overlapping dimensional phenotypes of impulsivity and compulsivity explain co-occurrence of addictive and related behaviorsSemantic proximity Read ↗

Correlates of Risk for Disinhibited Behaviors in the Million Veteran Program CohortSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.