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

Bayesian causal network modeling suggests adolescent cannabis use accelerates prefrontal cortical thinning.
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DOI:
10.1038/s41398-022-01956-4
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发表时间:
2022-05-06
影响因子:
6.8
通讯作者:
Garavan, Hugh
Garavan, Hugh
中科院分区:
医学1区
文献类型:
--
作者:
Owens, Max M.;Albaugh, Matthew D.;Allgaier, Nicholas;Yuan, Dekang;Robert, Gabriel;Cupertino, Renata B.;Spechler, Philip A.;Juliano, Anthony;Hahn, Sage;Banaschewski, Tobias;Bokde, Arun L. W.;Desrivieres, Sylvane;Flor, Herta;Grigis, Antoine;Gowland, Penny;Heinz, Andreas;Bruehl, Rudiger;Martinot, Jean-Luc;Martinot, Marie-Laure Paillere;Artiges, Eric;Nees, Frauke;Orfanos, Dimitri Papadopoulos;Lemaitre, Herve;Paus, Tomas;Poustka, Luise;Millenet, Sabina;Frohner, Juliane H.;Smolka, Michael N.;Walter, Henrik;Whelan, Robert;Mackey, Scott;Schumann, Gunter;Garavan, Hugh

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虽然有大量证据表明大麻的使用与人类大脑发育的差异有关,但大多数证据在本质上是相关的。贝叶斯因果网络(Bayesian Causal Network,BCN)建模试图使用条件概率来估计一组相关变量之间的方向关联,从而识别相关数据中可能的因果关系。在这项研究中,我们对来自IMAGEN研究的637名青少年进行了BCN建模,这些青少年在14岁时从未使用过大麻,以提供证据证明Albaugh等人先前在青少年大麻使用者中发现的加速前额叶皮层变薄是大麻使用因果影响神经发育的结果。BCN纳入了有关大麻使用,前额叶皮质厚度以及与大脑发育和大麻使用相关的其他因素的数据,包括人口统计学,精神病理学,童年逆境和其他物质使用。所有BCN算法强烈建议从青少年大麻使用加速皮质变薄的方向关系。虽然BCN模型本身并不能证明因果关系,但这些结果与动物和人类研究的结果一致,表明青少年使用大麻会对大脑发育产生不利影响。
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. 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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