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Neuropsychosocial profiles of current and future adolescent alcohol misusers

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Neuropsychosocial profiles of current and future adolescent alcohol misusers. / Whelan, Robert; Watts, Richard; Orr, Catherine A; Althoff, Robert R; Artiges, Eric; Banaschewski, Tobias; Barker, Gareth J; Bokde, Arun L W; Büchel, Christian; Carvalho, Fabiana M; Conrod, Patricia J; Flor, Herta; Fauth-Bühler, Mira; Frouin, Vincent; Gallinat, Jürgen; Gan, Gabriela; Gowland, Penny; Heinz, Andreas; Ittermann, Bernd; Lawrence, Claire; Mann, Karl; Martinot, Jean-Luc; Nees, Frauke; Ortiz, Nick; Paillère-Martinot, Marie-Laure; Paus, Tomas; Pausova, Zdenka; Rietschel, Marcella; Robbins, Trevor W; Smolka, Michael N; Ströhle, Andreas; Schumann, Gunter; Garavan, Hugh; IMAGEN Consortium.

in: NATURE, Jahrgang 512, Nr. 7513, 14.08.2014, S. 185-9.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Whelan, R, Watts, R, Orr, CA, Althoff, RR, Artiges, E, Banaschewski, T, Barker, GJ, Bokde, ALW, Büchel, C, Carvalho, FM, Conrod, PJ, Flor, H, Fauth-Bühler, M, Frouin, V, Gallinat, J, Gan, G, Gowland, P, Heinz, A, Ittermann, B, Lawrence, C, Mann, K, Martinot, J-L, Nees, F, Ortiz, N, Paillère-Martinot, M-L, Paus, T, Pausova, Z, Rietschel, M, Robbins, TW, Smolka, MN, Ströhle, A, Schumann, G, Garavan, H & IMAGEN Consortium 2014, 'Neuropsychosocial profiles of current and future adolescent alcohol misusers', NATURE, Jg. 512, Nr. 7513, S. 185-9. https://doi.org/10.1038/nature13402

APA

Whelan, R., Watts, R., Orr, C. A., Althoff, R. R., Artiges, E., Banaschewski, T., Barker, G. J., Bokde, A. L. W., Büchel, C., Carvalho, F. M., Conrod, P. J., Flor, H., Fauth-Bühler, M., Frouin, V., Gallinat, J., Gan, G., Gowland, P., Heinz, A., Ittermann, B., ... IMAGEN Consortium (2014). Neuropsychosocial profiles of current and future adolescent alcohol misusers. NATURE, 512(7513), 185-9. https://doi.org/10.1038/nature13402

Vancouver

Whelan R, Watts R, Orr CA, Althoff RR, Artiges E, Banaschewski T et al. Neuropsychosocial profiles of current and future adolescent alcohol misusers. NATURE. 2014 Aug 14;512(7513):185-9. https://doi.org/10.1038/nature13402

Bibtex

@article{6eab3d24159d406b989cc9bd5b92a260,
title = "Neuropsychosocial profiles of current and future adolescent alcohol misusers",
abstract = "A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence. A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms. Here we apply machine learning to a wide range of data from a large sample of adolescents (n = 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.",
keywords = "Adolescent, Alcohol Drinking, Alcoholism, Artificial Intelligence, Brain, Cognition, Environment, Humans, Life Change Events, Longitudinal Studies, Models, Theoretical, Personality, Polymorphism, Single Nucleotide, Psychology, Reproducibility of Results, Risk Factors",
author = "Robert Whelan and Richard Watts and Orr, {Catherine A} and Althoff, {Robert R} and Eric Artiges and Tobias Banaschewski and Barker, {Gareth J} and Bokde, {Arun L W} and Christian B{\"u}chel and Carvalho, {Fabiana M} and Conrod, {Patricia J} and Herta Flor and Mira Fauth-B{\"u}hler and Vincent Frouin and J{\"u}rgen Gallinat and Gabriela Gan and Penny Gowland and Andreas Heinz and Bernd Ittermann and Claire Lawrence and Karl Mann and Jean-Luc Martinot and Frauke Nees and Nick Ortiz and Marie-Laure Paill{\`e}re-Martinot and Tomas Paus and Zdenka Pausova and Marcella Rietschel and Robbins, {Trevor W} and Smolka, {Michael N} and Andreas Str{\"o}hle and Gunter Schumann and Hugh Garavan and {IMAGEN Consortium}",
year = "2014",
month = aug,
day = "14",
doi = "10.1038/nature13402",
language = "English",
volume = "512",
pages = "185--9",
journal = "NATURE",
issn = "0028-0836",
publisher = "NATURE PUBLISHING GROUP",
number = "7513",

}

RIS

TY - JOUR

T1 - Neuropsychosocial profiles of current and future adolescent alcohol misusers

AU - Whelan, Robert

AU - Watts, Richard

AU - Orr, Catherine A

AU - Althoff, Robert R

AU - Artiges, Eric

AU - Banaschewski, Tobias

AU - Barker, Gareth J

AU - Bokde, Arun L W

AU - Büchel, Christian

AU - Carvalho, Fabiana M

AU - Conrod, Patricia J

AU - Flor, Herta

AU - Fauth-Bühler, Mira

AU - Frouin, Vincent

AU - Gallinat, Jürgen

AU - Gan, Gabriela

AU - Gowland, Penny

AU - Heinz, Andreas

AU - Ittermann, Bernd

AU - Lawrence, Claire

AU - Mann, Karl

AU - Martinot, Jean-Luc

AU - Nees, Frauke

AU - Ortiz, Nick

AU - Paillère-Martinot, Marie-Laure

AU - Paus, Tomas

AU - Pausova, Zdenka

AU - Rietschel, Marcella

AU - Robbins, Trevor W

AU - Smolka, Michael N

AU - Ströhle, Andreas

AU - Schumann, Gunter

AU - Garavan, Hugh

AU - IMAGEN Consortium

PY - 2014/8/14

Y1 - 2014/8/14

N2 - A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence. A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms. Here we apply machine learning to a wide range of data from a large sample of adolescents (n = 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.

AB - A comprehensive account of the causes of alcohol misuse must accommodate individual differences in biology, psychology and environment, and must disentangle cause and effect. Animal models can demonstrate the effects of neurotoxic substances; however, they provide limited insight into the psycho-social and higher cognitive factors involved in the initiation of substance use and progression to misuse. One can search for pre-existing risk factors by testing for endophenotypic biomarkers in non-using relatives; however, these relatives may have personality or neural resilience factors that protect them from developing dependence. A longitudinal study has potential to identify predictors of adolescent substance misuse, particularly if it can incorporate a wide range of potential causal factors, both proximal and distal, and their influence on numerous social, psychological and biological mechanisms. Here we apply machine learning to a wide range of data from a large sample of adolescents (n = 692) to generate models of current and future adolescent alcohol misuse that incorporate brain structure and function, individual personality and cognitive differences, environmental factors (including gestational cigarette and alcohol exposure), life experiences, and candidate genes. These models were accurate and generalized to novel data, and point to life experiences, neurobiological differences and personality as important antecedents of binge drinking. By identifying the vulnerability factors underlying individual differences in alcohol misuse, these models shed light on the aetiology of alcohol misuse and suggest targets for prevention.

KW - Adolescent

KW - Alcohol Drinking

KW - Alcoholism

KW - Artificial Intelligence

KW - Brain

KW - Cognition

KW - Environment

KW - Humans

KW - Life Change Events

KW - Longitudinal Studies

KW - Models, Theoretical

KW - Personality

KW - Polymorphism, Single Nucleotide

KW - Psychology

KW - Reproducibility of Results

KW - Risk Factors

U2 - 10.1038/nature13402

DO - 10.1038/nature13402

M3 - SCORING: Journal article

C2 - 25043041

VL - 512

SP - 185

EP - 189

JO - NATURE

JF - NATURE

SN - 0028-0836

IS - 7513

ER -