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Supervoxel-based statistical analysis of diffusion tensor imaging in schizotypal personality disorder.

Abstract：

:To study white matter changes in schizotypal personality disorder (SPD), we developed a new statistical analysis method based on supervoxels for diffusion tensor imaging. Twenty patients with SPD and eighteen healthy controls were recruited from a pool of 3000 first-year university undergraduates, and underwent MRI using a 3T scanner. Diffusion tensors were first normalized into ICBM-152 space followed by a supervoxel segmentation based on graph clustering to segment white matter tensors into diffusion homogeneous supervoxels. Fractional anisotropy (FA) values in supervoxels were compared between SPD and healthy controls using permutation test. Suprathreshold cluster size test was used to correct multiple comparison. At last, fibers with significant differences were extracted from supervoxel clusters with significance level P < 0.05. Results showed that FA values in genu of corpus callosum were significantly reduced (P = 0.012) in patients with SPD (FA = 0.565) compared with healthy controls (FA = 0.593). In summary, this study proposed a novel supervoxel segmentation method for diffusion tensor imaging using graph-based clustering, and extended permutation test and suprathreshold cluster size test to supervoxels for detection of white matter changes.

journal_name

Neuroimage

journal_title

NeuroImage

authors

Zhang T,Wang D,Zhang Q,Wu J,Lv J,Shi L

doi

10.1016/j.neuroimage.2017.07.026

subject

Has Abstract

pub_date

2017-12-01 00:00:00

pages

368-378

eissn

1053-8119

issn

1095-9572

pii

S1053-8119(17)30594-3

journal_volume

163

pub_type

杂志文章

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