TY  - GEN
N2  - Patterns of alcohol consumption during adolescence differ from those observed during adulthood; namely, adolescents are more likely to consume alcohol less frequently, but in larger quantities per occasion, when compared to adults. Importantly, this binge-pattern of drinking carries substantial risks for adverse outcomes, including involvement in motor vehicle accidents, alcohol poisoning, and sexual victimization. Although prior work has examined neural correlates of emergent alcohol use among adolescent populations, the present study takes a novel, data-driven approach by incorporating graph theory metrics of resting-state functional connectivity with predictive modeling via machine learning. To identify risk factors for future binge drinking, a subset of participants were selected from an ongoing prospective longitudinal study (National Consortium on Alcohol and Neurodevelopment in Adolescence). All participants were alcohol-na?ve at baseline (n=150), but 51% (n=77) emerged into binge drinking over the course of four years of follow-up assessments (transitioners), while the rest remained abstinent from alcohol use (controls).
DO  - 10.6083/tm70mv665
DO  - DOI
AB  - Patterns of alcohol consumption during adolescence differ from those observed during adulthood; namely, adolescents are more likely to consume alcohol less frequently, but in larger quantities per occasion, when compared to adults. Importantly, this binge-pattern of drinking carries substantial risks for adverse outcomes, including involvement in motor vehicle accidents, alcohol poisoning, and sexual victimization. Although prior work has examined neural correlates of emergent alcohol use among adolescent populations, the present study takes a novel, data-driven approach by incorporating graph theory metrics of resting-state functional connectivity with predictive modeling via machine learning. To identify risk factors for future binge drinking, a subset of participants were selected from an ongoing prospective longitudinal study (National Consortium on Alcohol and Neurodevelopment in Adolescence). All participants were alcohol-na?ve at baseline (n=150), but 51% (n=77) emerged into binge drinking over the course of four years of follow-up assessments (transitioners), while the rest remained abstinent from alcohol use (controls).
AD  - Oregon Health and Science University
AD  - Oregon Health and Science University
AD  - Oregon Health & Science University, Swedish Neuroscience Institute
AD  - Oregon Health and Science University
T1  - Predicting adolescent binge drinking from brain networks at rest
DA  - 2020
AU  - Kliamovich, Dakota
AU  - Morales, Angelica
AU  - Harman, Gareth
AU  - Boyd, Stephen
L1  - https://digitalcollections.ohsu.edu/record/8240/files/Dakota-Kliamovich.pdf
PB  - Oregon Health and Science University
LA  - eng
PY  - 2020
ID  - 8240
L4  - https://digitalcollections.ohsu.edu/record/8240/files/Dakota-Kliamovich.pdf
KW  - Adolescent
KW  - Alcoholism
KW  - Binge Drinking
KW  - Magnetic Resonance Imaging
KW  - resting-state FMRI
KW  - graph theory
KW  - neurodevelopment
TI  - Predicting adolescent binge drinking from brain networks at rest
Y1  - 2020
L2  - https://digitalcollections.ohsu.edu/record/8240/files/Dakota-Kliamovich.pdf
LK  - https://digitalcollections.ohsu.edu/record/8240/files/Dakota-Kliamovich.pdf
UR  - https://digitalcollections.ohsu.edu/record/8240/files/Dakota-Kliamovich.pdf
ER  -