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

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 relationships in correlational data using conditional probabi...

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Main Authors: Owens, Max M. (Author) , Albaugh, Matthew D. (Author) , Allgaier, Nicholas (Author) , Yuan, Dekang (Author) , Robert, Gabriel (Author) , Cupertino, Renata B. (Author) , Spechler, Philip A. (Author) , Juliano, Anthony (Author) , Hahn, Sage (Author) , Banaschewski, Tobias (Author) , Bokde, Arun L. W. (Author) , Desrivières, Sylvane (Author) , Flor, Herta (Author) , Grigis, Antoine (Author) , Gowland, Penny (Author) , Heinz, Andreas (Author) , Brühl, Rüdiger (Author) , Martinot, Jean-Luc (Author) , Martinot, Marie-Laure Paillère (Author) , Artiges, Eric (Author) , Nees, Frauke (Author) , Orfanos, Dimitri Papadopoulos (Author) , Lemaitre, Herve (Author) , Paus, Tomáš (Author) , Poustka, Luise (Author) , Millenet, Sabina (Author) , Fröhner, Juliane H. (Author) , Smolka, Michael (Author) , Walter, Henrik (Author) , Whelan, Robert (Author) , Mackey, Scott (Author) , Schumann, Gunter (Author) , Garavan, Hugh (Author)
Format: Article (Journal)
Language:English
Published: 06 May 2022
In: Translational Psychiatry
Year: 2022, Volume: 12, Pages: 1-9
ISSN:2158-3188
DOI:10.1038/s41398-022-01956-4
Online Access:Verlag, kostenfrei, Volltext: https://doi.org/10.1038/s41398-022-01956-4
Verlag, kostenfrei, Volltext: http://www.nature.com/articles/s41398-022-01956-4
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Author Notes: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 and The IMAGEN Consortium

MARC

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520 |a 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 relationships in correlational data using conditional probabilities to estimate directional associations between a set of interrelated variables. In this study, we employed BCN modeling in 637 adolescents from the IMAGEN study who were cannabis naïve at age 14 to provide evidence that the accelerated prefrontal cortical thinning found previously in adolescent cannabis users by Albaugh et al. [1] is a result of cannabis use causally affecting neurodevelopment. BCNs incorporated data on cannabis use, prefrontal cortical thickness, and other factors related to both brain development and cannabis use, including demographics, psychopathology, childhood adversity, and other substance use. All BCN algorithms strongly suggested a directional relationship from adolescent cannabis use to accelerated cortical thinning. While BCN modeling alone does not prove a causal relationship, these results are consistent with a body of animal and human research suggesting that adolescent cannabis use adversely affects brain development. 
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