Cheng H, Skosnik P D, Pruce B J, Brumbaugh M S, Vollmer J M, Fridberg D J, O'Donnell B F, Hetrick W P, Newman S D
Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA
Department of Psychiatry, The Yale University School of Medicine, New Haven, CT, USA.
J Psychopharmacol. 2014 Nov;28(11):1030-40. doi: 10.1177/0269881114550354. Epub 2014 Sep 18.
Chronic cannabis use can cause cognitive, perceptual and personality alterations, which are believed to be associated with regional brain changes and possible changes in connectivity between functional regions. This study aims to identify the changes from resting state functional magnetic resonance imaging scans. A two-level multi-voxel pattern analysis was proposed to classify male cannabis users from normal controls. The first level analysis works on a voxel basis and identifies clusters for the input of a second level analysis, which works on the functional connectivity between these regions. We found distinct clusters for male cannabis users in the middle frontal gyrus, precentral gyrus, superior frontal gyrus, posterior cingulate cortex, cerebellum and some other regions. Based on the functional connectivity of these clusters, a high overall accuracy rate of 84-88% in classification accuracy was achieved. High correlations were also found between the overall classification accuracy and Barrett Barrett Impulsiveness Scale factor scores of attention and motor. Our result suggests regional differences in the brains of male cannabis users that span from the cerebellum to the prefrontal cortex, which are associated with differences in functional connectivity.
长期使用大麻会导致认知、感知和人格改变,这些改变被认为与大脑区域变化以及功能区域之间连接性的可能变化有关。本研究旨在通过静息态功能磁共振成像扫描识别这些变化。我们提出了一种两级多体素模式分析方法,用于将男性大麻使用者与正常对照进行分类。第一级分析基于体素进行,识别出用于第二级分析输入的聚类,第二级分析则基于这些区域之间的功能连接性进行。我们在男性大麻使用者的额中回、中央前回、额上回、后扣带回皮质、小脑和其他一些区域发现了不同的聚类。基于这些聚类的功能连接性,分类准确率达到了84% - 88%的较高总体准确率。在总体分类准确率与巴雷特冲动性量表注意力和运动因子得分之间也发现了高度相关性。我们的结果表明,男性大麻使用者的大脑从小脑到前额叶皮质存在区域差异,这些差异与功能连接性的差异有关。