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重度抑郁症中白质连接性的特征:自动纤维定量与最大密度路径

CHARACTERIZING WHITE MATTER CONNECTIVITY IN MAJOR DEPRESSIVE DISORDER: AUTOMATED FIBER QUANTIFICATION AND MAXIMUM DENSITY PATHS.

作者信息

Sacchet Matthew D, Prasad Gautam, Foland-Ross Lara C, Joshi Shantanu H, Hamilton J Paul, Thompson Paul M, Gotlib Ian H

机构信息

Neurosciences Program, Stanford University, Stanford, CA, USA ; Department of Psychology, Stanford University, Stanford, CA, USA.

Department of Psychology, Stanford University, Stanford, CA, USA ; Imaging Genetics Center, Inst. for Neuroimaging and Informatics, Keck Sch. of Med. of USC, Los Angeles, CA, USA.

出版信息

Proc IEEE Int Symp Biomed Imaging. 2014 Apr 29;11:592-595. doi: 10.1109/ISBI.2014.6867940.

Abstract

Diffusion-weighted imaging allows for assessment of white matter structure, which can be used to assess aberrations associated with disease. Several new methods permit the automated assessment of important white matter characteristics. In the current study we used Automated Fiber Quantification (AFQ) to assess differences between depressed and nondepressed individuals in 18 major white matter tracts. We then used the Maximum Density Path (MDP) method to further characterize group differences identified with AFQ. The results of the AFQ analyses indicated that fractional anisotropy (FA; an index of white matter integrity) along bilateral corticospinal tracts (CST) was higher in depressed than in nondepressed individuals. MDP analyses revealed that white matter anomalies were restricted to four subregions that included the corona radiata and the internal and external capsules. These results provide further evidence that MDD is associated with abnormalities in cortical-to-subcortical connectivity.

摘要

扩散加权成像可用于评估白质结构,该结构可用于评估与疾病相关的异常情况。几种新方法允许对白质的重要特征进行自动评估。在本研究中,我们使用自动纤维定量法(AFQ)来评估18条主要白质束中抑郁个体与非抑郁个体之间的差异。然后,我们使用最大密度路径(MDP)方法进一步表征通过AFQ识别出的组间差异。AFQ分析结果表明,双侧皮质脊髓束(CST)的各向异性分数(FA;白质完整性指标)在抑郁个体中高于非抑郁个体。MDP分析显示,白质异常仅限于包括放射冠以及内囊和外囊在内的四个亚区域。这些结果进一步证明,重度抑郁症与皮质到皮质下连接异常有关。

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