Albaugh Matthew D, Ottino-Gonzalez Jonatan, Sidwell Amanda, Lepage Claude, Juliano Anthony, Owens Max M, Chaarani Bader, Spechler Philip, Fontaine Nicholas, Rioux Pierre, Lewis Lindsay, Jeon Seun, Evans Alan, D'Souza Deepak, Radhakrishnan Rajiv, Banaschewski Tobias, Bokde Arun L W, Quinlan Erin Burke, Conrod Patricia, Desrivières Sylvane, Flor Herta, Grigis Antoine, Gowland Penny, Heinz Andreas, Ittermann Bernd, Martinot Jean-Luc, Paillère Martinot Marie-Laure, Nees Frauke, Papadopoulos Orfanos Dimitri, Paus Tomáš, Poustka Luise, Millenet Sabina, Fröhner Juliane H, Smolka Michael N, Walter Henrik, Whelan Robert, Schumann Gunter, Potter Alexandra, Garavan Hugh
Department of Psychiatry, University of Vermont Larner College of Medicine, Burlington.
McConnell Brain Imaging Centre, McGill University, Montreal, Quebec, Canada.
JAMA Psychiatry. 2021 Jun 16;78(9):1-11. doi: 10.1001/jamapsychiatry.2021.1258.
Animal studies have shown that the adolescent brain is sensitive to disruptions in endocannabinoid signaling, resulting in altered neurodevelopment and lasting behavioral effects. However, few studies have investigated ties between cannabis use and adolescent brain development in humans.
To examine the degree to which magnetic resonance (MR) imaging-assessed cerebral cortical thickness development is associated with cannabis use in a longitudinal sample of adolescents.
DESIGN, SETTING, AND PARTICIPANTS: Data were obtained from the community-based IMAGEN cohort study, conducted across 8 European sites. Baseline data used in the present study were acquired from March 1, 2008, to December 31, 2011, and follow-up data were acquired from January 1, 2013, to December 31, 2016. A total of 799 IMAGEN participants were identified who reported being cannabis naive at study baseline and had behavioral and neuroimaging data available at baseline and 5-year follow-up. Statistical analysis was performed from October 1, 2019, to August 31, 2020.
Cannabis use was assessed at baseline and 5-year follow-up with the European School Survey Project on Alcohol and Other Drugs. Anatomical MR images were acquired with a 3-dimensional T1-weighted magnetization prepared gradient echo sequence. Quality-controlled native MR images were processed through the CIVET pipeline, version 2.1.0.
The study evaluated 1598 MR images from 799 participants (450 female participants [56.3%]; mean [SD] age, 14.4 [0.4] years at baseline and 19.0 [0.7] years at follow-up). At 5-year follow-up, cannabis use (from 0 to >40 uses) was negatively associated with thickness in left prefrontal (peak: t785 = -4.87, cluster size = 1558 vertices; P = 1.10 × 10-6, random field theory cluster corrected) and right prefrontal (peak: t785 = -4.27, cluster size = 1551 vertices; P = 2.81 × 10-5, random field theory cluster corrected) cortices. There were no significant associations between lifetime cannabis use at 5-year follow-up and baseline cortical thickness, suggesting that the observed neuroanatomical differences did not precede initiation of cannabis use. Longitudinal analysis revealed that age-related cortical thinning was qualified by cannabis use in a dose-dependent fashion such that greater use, from baseline to follow-up, was associated with increased thinning in left prefrontal (peak: t815.27 = -4.24, cluster size = 3643 vertices; P = 2.28 × 10-8, random field theory cluster corrected) and right prefrontal (peak: t813.30 = -4.71, cluster size = 2675 vertices; P = 3.72 × 10-8, random field theory cluster corrected) cortices. The spatial pattern of cannabis-related thinning was associated with age-related thinning in this sample (r = 0.540; P < .001), and a positron emission tomography-assessed cannabinoid 1 receptor-binding map derived from a separate sample of participants (r = -0.189; P < .001). Analysis revealed that thinning in right prefrontal cortices, from baseline to follow-up, was associated with attentional impulsiveness at follow-up.
Results suggest that cannabis use during adolescence is associated with altered neurodevelopment, particularly in cortices rich in cannabinoid 1 receptors and undergoing the greatest age-related thickness change in middle to late adolescence.
动物研究表明,青少年大脑对内源性大麻素信号的中断敏感,这会导致神经发育改变和持久的行为影响。然而,很少有研究调查人类使用大麻与青少年大脑发育之间的关系。
在青少年纵向样本中,研究磁共振成像评估的大脑皮质厚度发育与使用大麻之间的关联程度。
设计、地点和参与者:数据来自基于社区的IMAGEN队列研究,该研究在8个欧洲地点进行。本研究使用的基线数据于2008年3月1日至2011年12月31日采集,随访数据于2013年1月1日至2016年12月31日采集。共确定了799名IMAGEN参与者,他们在研究基线时报告未使用过大麻,且在基线和5年随访时有行为和神经影像数据。统计分析于2019年10月1日至2020年8月31日进行。
在基线和5年随访时,使用欧洲酒精和其他药物学校调查项目评估大麻使用情况。使用三维T1加权磁化准备梯度回波序列采集解剖磁共振图像。通过CIVET管道2.1.0版本处理质量控制后的原始磁共振图像。
该研究评估了799名参与者(450名女性参与者[56.3%];基线时平均[标准差]年龄为14.4[0.4]岁,随访时为19.0[0.7]岁)的1598幅磁共振图像。在5年随访时,大麻使用(从0次到超过40次)与左前额叶(峰值:t785 = -4.87,聚类大小 = 1558个顶点;P = 1.10×10 - 6,随机场理论聚类校正)和右前额叶(峰值:t785 = -4.27,聚类大小 = 1551个顶点;P = 2.81×10 - 5,随机场理论聚类校正)皮质厚度呈负相关。5年随访时的终生大麻使用与基线皮质厚度之间无显著关联,这表明观察到的神经解剖学差异并非先于大麻使用开始出现。纵向分析显示,年龄相关的皮质变薄因大麻使用而呈剂量依赖性变化,即从基线到随访期间使用量越大,与左前额叶(峰值:t815.27 = -4.24,聚类大小 = 3643个顶点;P = 2.28×10 - 8,随机场理论聚类校正)和右前额叶(峰值:t813.30 = -4.7- ,聚类大小 = 2675个顶点;P = 3.72×10 - 8,随机场理论聚类校正)皮质变薄增加相关。在该样本中,与大麻相关的变薄空间模式与年龄相关的变薄相关(r = 0.540;P <.001),并且与来自另一组参与者样本的正电子发射断层扫描评估的大麻素1受体结合图谱相关(r = -0.189;P <.001)。分析显示,从基线到随访期间,右前额叶皮质变薄与随访时的注意力冲动性相关。
结果表明,青少年时期使用大麻与神经发育改变有关,特别是在富含大麻素1受体且在青少年中期至晚期经历最大年龄相关厚度变化的皮质中。