Reinforcement related behaviors and adolescent alcohol abuse: from localized brain structures to coordinated networks: Addiction

TY - JOUR

T1 - Reinforcement related behaviors and adolescent alcohol abuse: from localized brain structures to coordinated networks

T2 - Addiction

AU - Robert, Gabriel H

AU - Schumann, Gunter

PY - 2017/2

Y1 - 2017/2

N2 - Alcohol is the most prevalent drug used in adolescents, and research on underlying reinforcement mechanisms, such as reward processing, executive control and emotional processing has increased substantially in this age group. We review recent neuroimaging studies related to adolescent alcohol abuse, beginning with region of interest analyses and describing their evolution to the investigation of coordinated network activities. These include examples from the adolescent imaging genetics cohort IMAGEN that led to the identification of distributed and coordinated networks engaged in reinforcement behaviour. We discuss multimodal approaches to characterise and predict alcohol-related symptoms and propose that modeling brain networks, polygenic data and environmental factors using representative statistical models may facilitate the identification of predictors for alcohol use disorders at the individual level. Current Opinion in Behavioral Sciences 2017, 13:106–116 This review comes from a themed issue on Addiction Edited by Scott Edwards and Karen D Ersche http://dx.doi.org/10.1016/j.cobeha.2016.11.008 2352-1546/© 2016 Elsevier Ltd. All rights reserved.

AB - Alcohol is the most prevalent drug used in adolescents, and research on underlying reinforcement mechanisms, such as reward processing, executive control and emotional processing has increased substantially in this age group. We review recent neuroimaging studies related to adolescent alcohol abuse, beginning with region of interest analyses and describing their evolution to the investigation of coordinated network activities. These include examples from the adolescent imaging genetics cohort IMAGEN that led to the identification of distributed and coordinated networks engaged in reinforcement behaviour. We discuss multimodal approaches to characterise and predict alcohol-related symptoms and propose that modeling brain networks, polygenic data and environmental factors using representative statistical models may facilitate the identification of predictors for alcohol use disorders at the individual level. Current Opinion in Behavioral Sciences 2017, 13:106–116 This review comes from a themed issue on Addiction Edited by Scott Edwards and Karen D Ersche http://dx.doi.org/10.1016/j.cobeha.2016.11.008 2352-1546/© 2016 Elsevier Ltd. All rights reserved.

U2 - 10.1016/j.cobeha.2016.11.008

DO - 10.1016/j.cobeha.2016.11.008

M3 - Article

SN - 2352-1546

VL - 13

SP - 106

EP - 116

JO - Current Opinion in Behavioral Sciences

JF - Current Opinion in Behavioral Sciences

ER -