Alcohol approach–avoidance task behavior and brain potentials differentially predict ecologically assessed alcohol craving and consumption in early emerging adulthood

Incentive salience toward alcohol may influence alcohol seeking (including craving) and alcohol consumption through distinct behavioral risk pathways in different people.

Authors

Institutions

Publication Details

Journal
Addiction
Published
2025-11-25
DOI
https://doi.org/10.1111/add.70247
Primary Topic
Substance Abuse Treatment and Outcomes
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Alcohol approach–avoidance task behavior and brain potentials differentially predict ecologically assessed alcohol craving and consumption in early emerging adulthood

Bruce D. Bartholow, Thomas M. Piasecki, Casey B. Kohen, Roberto U. Cofresí et al.
Addiction
Substance Abuse Treatment and Outcomes
article

Alcohol approach–avoidance task behavior and brain potentials differentially predict ecologically assessed alcohol craving and consumption in early emerging adulthood

Bruce D. Bartholow, Thomas M. Piasecki, Casey B. Kohen, Roberto U. Cofresí, Sandie Keerstock
article en

Abstract

Incentive salience toward alcohol may influence alcohol seeking (including craving) and alcohol consumption through distinct behavioral risk pathways in different people.

AddictionVol. 121(4)
University of Iowa (US), University of Wisconsin–Madison (US), University of Missouri (US)
National Institutes of Health
Openalex Percentile: Top 52%
Substance Abuse Treatment and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.