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Journal Articles (Review Article) Translational Psychiatry Year : 2022

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

1 Larner College of Medicine [University of Vermont, Burlington]
2 IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires
3 EMPENN - Neuroimagerie: méthodes et applications
4 UR - Université de Rennes
5 LIBR - Laureate Institute for Brain Research [Tulsa]
6 Medical Faculty [Mannheim]
7 Heidelberg University
8 Trinity College Dublin
9 Institute of Psychiatry, Psychology & Neuroscience, King's College London
11 UON - University of Nottingham, UK
12 Charité - UniversitätsMedizin = Charité - University Hospital [Berlin]
13 Humboldt University Of Berlin
14 Freie Universität Berlin
15 PTB - Physikalisch-Technische Bundesanstalt [Berlin]
16 PTB - Physikalisch-Technische Bundesanstalt [Braunschweig]
17 ENS Paris Saclay - Ecole Normale Supérieure Paris-Saclay
18 CB - CB - Centre Borelli - UMR 9010
19 Trajectoires Développementales en Psychiatrie [Paris]
20 SPEA - Service de Psychiatrie de l'Enfant et de l'Adolescent [CHU Pitié-Salpêtrière]
21 EPS Barthélemy Durand [Etampes]
22 UKSH - University Medical Center of Schleswig–Holstein = Universitätsklinikum Schleswig-Holstein
23 IMN - Institut des Maladies Neurodégénératives [Bordeaux]
24 Centre de recherche du CHU Sainte-Justine / Research Center of the Sainte-Justine University Hospital [Montreal, Canada]
25 University of Toronto
26 UMG - University Medical Center Göttingen
27 TU Dresden - Technische Universität Dresden = Dresden University of Technology
28 Fudan University [Shanghai]
Antoine Grigis
  • Function : Author
Penny A Gowland
  • Function : Author
  • PersonId : 888536


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 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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Dates and versions

inserm-03933612 , version 1 (10-01-2023)



Max M Owens, Matthew D Albaugh, Nicholas Allgaier, Dekang Yuan, Gabriel Robert, et al.. Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning. Translational Psychiatry, 2022, 12 (1), pp.188. ⟨10.1038/s41398-022-01956-4⟩. ⟨inserm-03933612⟩
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