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慢性重度大麻使用者的灰质变化:使用多元模式分析方法的体素水平研究。

Gray matter changes in chronic heavy cannabis users: a voxel-level study using multivariate pattern analysis approach.

机构信息

Department of Computer Science, College of Information Science and Engineering, Hunan Institute of Science and Technology, Yueyang, Hunan, People's Republic of China.

出版信息

Neuroreport. 2020 Dec 9;31(17):1236-1241. doi: 10.1097/WNR.0000000000001532.

Abstract

Recent structural MRI studies on gray matter (GM) volumes using group-level mass-univariate statistical analysis suggest that chronic and heavy cannabis exposure may affect brain region-based morphology. In this prospective study, we use a multivariate pattern analysis approach to investigate the voxel-level change of GM densities in chronic heavy cannabis users. Principal component analysis and linear support vector machine are used in this study, resulting in an 88.1% separation between chronic heavy cannabis users (N = 20) and non-cannabis healthy controls (HCs, N = 22) through leave-one-out cross-validation. The model's discriminative pattern showed that GM density decreases in the part of middle frontal gyrus, inferior frontal gyrus, middle temporal gyrus, inferior temporal gyrus and left occipital lobe in heavy cannabis users with respect to HCs and increases in the part of lentiform nucleus, left cerebellum and right parietal lobe. These results suggest that GM densities alteration has taken place on chronic heavy cannabis users compared with HCs at voxel level.

摘要

最近使用组水平多元单变量统计分析的结构磁共振成像(MRI)研究表明,慢性和重度大麻暴露可能会影响基于大脑区域的形态。在这项前瞻性研究中,我们使用多变量模式分析方法来研究慢性重度大麻使用者的大脑灰质(GM)密度的体素变化。本研究采用主成分分析和线性支持向量机,通过留一法交叉验证,将慢性重度大麻使用者(N = 20)与非大麻健康对照者(HCs,N = 22)区分开来,准确率为 88.1%。模型的判别模式表明,与 HCs 相比,重度大麻使用者的 GM 密度在额中回、额下回、颞中回、颞下回和左侧枕叶部分减少,而在豆状核、左侧小脑和右侧顶叶部分增加。这些结果表明,与 HCs 相比,慢性重度大麻使用者在体素水平上发生了 GM 密度的改变。

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