Prospective associations of family conflict with alcohol expectancies in the adolescent brain cognitive development study: effects of race and ethnicity

Autor: Skye C. Bristol, Micah E. Johnson, Wesley K. Thompson, Matthew Albaugh, Alexandra Potter, Hugh Garavan, Nicholas Allgaier, Masha Y. Ivanova

Publikováno v: Frontiers in Psychiatry, Vol 15 (2024)

IntroductionAlcohol expectancies predict subsequent alcohol use and related problems among adolescents, although predictors of alcohol expectancies remain unclear. This study examined the longitudinal association between family conflict, a sociocultu

Externí odkaz: https://doaj.org/article/2f6fb040e1d44fd5ab40f4ca227997c3

Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning

Autor: Max M. Owens, Matthew D. Albaugh, Nicholas Allgaier, Dekang Yuan, Gabriel Robert, Renata B. Cupertino, Philip A. Spechler, Anthony Juliano, Sage Hahn, Tobias Banaschewski, Arun L. W. Bokde, Sylvane Desrivières, Herta Flor, Antoine Grigis, Penny Gowland, Andreas Heinz, Rüdiger Brühl, Jean-Luc Martinot, Marie-Laure Paillère Martinot, Eric Artiges, Frauke Nees, Dimitri Papadopoulos Orfanos, Herve Lemaitre, Tomáš Paus, Luise Poustka, Sabina Millenet, Juliane H. Fröhner, Michael N. Smolka, Henrik Walter, Robert Whelan, Scott Mackey, Gunter Schumann, Hugh Garavan, The IMAGEN Consortium

Publikováno v: Translational Psychiatry, Vol 12, Iss 1, Pp 1-9 (2022)

Abstract While there is substantial evidence that cannabis use is associated with differences in human brain development, most of this evidence is correlational in nature. Bayesian causal network (BCN) modeling attempts to identify probable causal re

Externí odkaz: https://doaj.org/article/90376136664a42d5ac1a5eab446d9606

Multimodal brain predictors of current weight and weight gain in children enrolled in the ABCD study ®

Autor: Shana Adise, Nicholas Allgaier, Jennifer Laurent, Sage Hahn, Bader Chaarani, Max Owens, DeKang Yuan, Philip Nyugen, Scott Mackey, Alexandra Potter, Hugh P. Garavan

Publikováno v: Developmental Cognitive Neuroscience, Vol 49, Iss , Pp 100948- (2021)

Multimodal neuroimaging assessments were utilized to identify generalizable brain correlates of current body mass index (BMI) and predictors of pathological weight gain (i.e., beyond normative development) one year later. Multimodal data from childre

Externí odkaz: https://doaj.org/article/31d59fb084ad466fa51bf2c316493b42

Correction to: Multimethod investigation of the neurobiological basis of ADHD symptomatology in children aged 9-10: baseline data from the ABCD study

Autor: Max M. Owens, Nicholas Allgaier, Sage Hahn, DeKang Yuan, Matthew Albaugh, Shana Adise, Bader Chaarani, Joseph Ortigara, Anthony Juliano, Alexandra Potter, Hugh Garavan

Publikováno v: Translational Psychiatry, Vol 11, Iss 1, Pp 1-2 (2021)

A Correction to this paper has been published: https://doi.org/10.1038/s41398-021-01320-y

Externí odkaz: https://doaj.org/article/cc2df045226d4a72b304fd4a5e651ea5

Predicting alcohol dependence from multi-site brain structural measures

Autor: Chiang-Shan R. Li, Sage Hahn, Robert Hester, Martin P. Paulus, Luijten Maartje, Valentina Lorenzetti, Catherine Orr, Kent Hutchinson, Nicholas Allgaier, Falk Kiefer, Henrik Walter, Patricia J. Conrod, Elliot A. Stein, Rajita Sinha, Scott Mackey, Dan J. Stein, Reinout W. Wiers, John J. Foxe, Edythe D. London, Murat Yücel, Tristram A. Lett, Dick J. Veltman, Andreas Heinz, Lianne Schmaal, Hugh Garavan, Janna Cousijn, Ruth J. van Holst, Ozlem Korucuoglu, Zsuzsika Sjoerds, Reza Momenan, Paul M. Thompson

Publikováno v: Human brain mapping, vol 43, iss 1
Human Brain Mapping, 43, 1, pp. 555-565
Human Brain Mapping, 43(1), 555-565. Wiley-Liss Inc.
Human Brain Mapping
HUMAN BRAIN MAPPING
Hahn, S, Mackey, S, Cousijn, J, Foxe, J J, Heinz, A, Hester, R, Hutchinson, K, Kiefer, F, Korucuoglu, O, Lett, T, Li, C-S R, London, E, Lorenzetti, V, Maartje, L, Momenan, R, Orr, C, Paulus, M, Schmaal, L, Sinha, R, Sjoerds, Z, Stein, D J, Stein, E, van Holst, R J, Veltman, D, Walter, H, Wiers, R W, Yucel, M, Thompson, P M, Conrod, P, Allgaier, N & Garavan, H 2022, ' Predicting alcohol dependence from multi-site brain structural measures ', Human Brain Mapping, vol. 43, no. 1, pp. 555-565 . https://doi.org/10.1002/hbm.25248
Human brain mapping, 43(1), 555-565. Wiley-Liss Inc.
Human Brain Mapping, 43, 555-565

To identify neuroimaging biomarkers of alcohol dependence (AD) from structural magnetic resonance imaging, it may be useful to develop classification models that are explicitly generalizable to unseen sites and populations. This problem was explored

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88d83a5a7a2602ea98f788f1a0505b07
https://hdl.handle.net/2066/226131