Adolescent binge drinking disrupts normal trajectories of brain functional organization and personality maturation.

Authors:
Hongtao Ruan
Hongtao Ruan
Institute of Science and Technology for Brain-Inspired Intelligence
Qiang Luo
Qiang Luo
Xiamen University
China
Gabriel H Robert
Gabriel H Robert
Guillaume Régnier Hospital
Sylvane Desrivieres
Sylvane Desrivieres
Institute of Psychiatry
United Kingdom
Erin Burke Quinlan
Erin Burke Quinlan
University of California
Zhaowen Liu
Zhaowen Liu
School of Computer Science and Technology
Amravati | India
Tobias Banaschewski
Tobias Banaschewski
Central Institute of Mental Health
Germany

Neuroimage Clin 2019 Mar 31;22:101804. Epub 2019 Mar 31.

School of Mathematical Sciences, Fudan University, Shanghai 200433, PR China; Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, PR China; Department of Computer Science, University of Warwick, Coventry, UK; Collaborative Innovation Center for Brain Science, Fudan University, Shanghai, PR China; Shanghai Center for Mathematical Sciences, Shanghai, PR China; Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Fudan University), Ministry of Education, PR China.

Adolescent binge drinking has been associated with higher risks for the development of many health problems throughout the lifespan. Adolescents undergo multiple changes that involve the co-development processes of brain, personality and behavior; therefore, certain behavior, such as alcohol consumption, can have disruptive effects on both brain development and personality maturation. However, these effects remain unclear due to the scarcity of longitudinal studies. In the current study, we used multivariate approaches to explore discriminative features in brain functional architecture, personality traits, and genetic variants in 19-year-old individuals (n = 212). Taking advantage of a longitudinal design, we selected features that were more drastically altered in drinkers with an earlier onset of binge drinking. With the selected features, we trained a hierarchical model of support vector machines using a training sample (n = 139). Using an independent sample (n = 73), we tested the model and achieved a classification accuracy of 71.2%. We demonstrated longitudinally that after the onset of binge drinking the developmental trajectory of improvement in impulsivity slowed down. This study identified the disrupting effects of adolescent binge drinking on the developmental trajectories of both brain and personality.

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Source
http://dx.doi.org/10.1016/j.nicl.2019.101804DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6451196PMC
March 2019

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