Chye Yann, Mackey Scott, Gutman Boris A, Ching Christopher R K, Batalla Albert, Blaine Sara, Brooks Samantha, Caparelli Elisabeth C, Cousijn Janna, Dagher Alain, Foxe John J, Goudriaan Anna E, Hester Robert, Hutchison Kent, Jahanshad Neda, Kaag Anne M, Korucuoglu Ozlem, Li Chiang-Shan R, London Edythe D, Lorenzetti Valentina, Luijten Maartje, Martin-Santos Rocio, Meda Shashwath A, Momenan Reza, Morales Angelica, Orr Catherine, Paulus Martin P, Pearlson Godfrey, Reneman Liesbeth, Schmaal Lianne, Sinha Rajita, Solowij Nadia, Stein Dan J, Stein Elliot A, Tang Deborah, Uhlmann Anne, van Holst Ruth, Veltman Dick J, Verdejo-Garcia Antonio, Wiers Reinout W, Yücel Murat, Thompson Paul M, Conrod Patricia, Garavan Hugh
Turner Institute for Brain and Mental Health, School of Psychological Sciences, Monash University, Clayton, Victoria, Australia.
Departments of Psychiatry, University of Vermont, Burlington, VT, USA.
Addict Biol. 2020 Nov;25(6):e12830. doi: 10.1111/adb.12830. Epub 2019 Nov 20.
While imaging studies have demonstrated volumetric differences in subcortical structures associated with dependence on various abused substances, findings to date have not been wholly consistent. Moreover, most studies have not compared brain morphology across those dependent on different substances of abuse to identify substance-specific and substance-general dependence effects. By pooling large multinational datasets from 33 imaging sites, this study examined subcortical surface morphology in 1628 nondependent controls and 2277 individuals with dependence on alcohol, nicotine, cocaine, methamphetamine, and/or cannabis. Subcortical structures were defined by FreeSurfer segmentation and converted to a mesh surface to extract two vertex-level metrics-the radial distance (RD) of the structure surface from a medial curve and the log of the Jacobian determinant (JD)-that, respectively, describe local thickness and surface area dilation/contraction. Mega-analyses were performed on measures of RD and JD to test for the main effect of substance dependence, controlling for age, sex, intracranial volume, and imaging site. Widespread differences between dependent users and nondependent controls were found across subcortical structures, driven primarily by users dependent on alcohol. Alcohol dependence was associated with localized lower RD and JD across most structures, with the strongest effects in the hippocampus, thalamus, putamen, and amygdala. Meanwhile, nicotine use was associated with greater RD and JD relative to nonsmokers in multiple regions, with the strongest effects in the bilateral hippocampus and right nucleus accumbens. By demonstrating subcortical morphological differences unique to alcohol and nicotine use, rather than dependence across all substances, results suggest substance-specific relationships with subcortical brain structures.
虽然影像学研究已经证明,与对各种滥用物质的依赖相关的皮质下结构存在体积差异,但迄今为止的研究结果并不完全一致。此外,大多数研究并没有比较依赖不同滥用物质的人群的脑形态,以确定特定物质和一般物质的依赖效应。通过汇总来自33个成像站点的大型跨国数据集,本研究检查了1628名非依赖对照组和2277名依赖酒精、尼古丁、可卡因、甲基苯丙胺和/或大麻的个体的皮质下表面形态。皮质下结构通过FreeSurfer分割定义,并转换为网格表面,以提取两个顶点级指标——结构表面从中线曲线的径向距离(RD)和雅可比行列式的对数(JD),分别描述局部厚度和表面积扩张/收缩。对RD和JD测量值进行了元分析,以测试物质依赖的主要效应,并控制年龄、性别、颅内体积和成像站点。在依赖使用者和非依赖对照组之间,发现皮质下结构存在广泛差异,主要由依赖酒精的使用者驱动。酒精依赖与大多数结构中局部较低的RD和JD相关,在海马体、丘脑、壳核和杏仁核中的影响最强。与此同时,与不吸烟者相比,尼古丁使用在多个区域与更大的RD和JD相关,在双侧海马体和右侧伏隔核中的影响最强。通过证明酒精和尼古丁使用所特有的皮质下形态差异,而不是所有物质的依赖,结果表明与皮质下脑结构存在特定物质的关系。