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静息态功能磁共振成像揭示重度大麻使用者不同的脑活动——多体素模式分析

Resting state functional magnetic resonance imaging reveals distinct brain activity in heavy cannabis users - a multi-voxel pattern analysis.

作者信息

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

机构信息

Department of Psychological and Brain Sciences, Indiana University, Bloomington, IN, USA

Department of Psychiatry, The Yale University School of Medicine, New Haven, CT, USA.

出版信息

J Psychopharmacol. 2014 Nov;28(11):1030-40. doi: 10.1177/0269881114550354. Epub 2014 Sep 18.

Abstract

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.

摘要

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。

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本文引用的文献

1
Functional connectivity alterations in brain networks relevant to self-awareness in chronic cannabis users.
J Psychiatr Res. 2014 Apr;51:68-78. doi: 10.1016/j.jpsychires.2013.12.008. Epub 2013 Dec 28.
2
Non-negative matrix factorization of multimodal MRI, fMRI and phenotypic data reveals differential changes in default mode subnetworks in ADHD.
Neuroimage. 2014 Nov 15;102 Pt 1:207-19. doi: 10.1016/j.neuroimage.2013.12.015. Epub 2013 Dec 19.
3
Functional connectivity and cannabis use in high-risk adolescents.
Am J Drug Alcohol Abuse. 2013 Nov;39(6):414-23. doi: 10.3109/00952990.2013.837914.
4
Altered resting-state connectivity in adolescent cannabis users.
Am J Drug Alcohol Abuse. 2013 Nov;39(6):372-81. doi: 10.3109/00952990.2013.848213.
5
Response inhibition and elevated parietal-cerebellar correlations in chronic adolescent cannabis users.
Neuropharmacology. 2014 Sep;84:131-7. doi: 10.1016/j.neuropharm.2013.05.027. Epub 2013 Jun 18.
7
The effect of chronic cannabinoids on broadband EEG neural oscillations in humans.
Neuropsychopharmacology. 2012 Sep;37(10):2184-93. doi: 10.1038/npp.2012.65. Epub 2012 Jun 20.
8
Functional connectivity in brain networks underlying cognitive control in chronic cannabis users.
Neuropsychopharmacology. 2012 Jul;37(8):1923-33. doi: 10.1038/npp.2012.39. Epub 2012 Apr 25.
9
Structural network topology revealed by white matter tractography in cannabis users: a graph theoretical analysis.
Brain Connect. 2011;1(6):473-83. doi: 10.1089/brain.2011.0053. Epub 2012 Feb 24.
10
Resting-state fMRI as a biomarker for Alzheimer's disease?
Alzheimers Res Ther. 2012 Mar 15;4(2):8. doi: 10.1186/alzrt106.

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