Graph Theory Based Study on Multi-weighted Structural Brain Network of Schizotypal Personality Disorder

doi:10.12068/j.issn.1005-3026.2019.08.006

Abstract

Abstract: With graph theory methods， this study identified the differences in nodal and global parameters between schizotypal personality disorder(SPD) and healthy control(HC). Firstly， the whole brain was divided into 246 regions of interest(ROIs)based on the human Brainnetome Atlas， then the fiber bundles were reconstructed based on DWI images， and the structural networks were constructed by statistics under the four weighting methods: fiber number， fiber density， fiber length and optimized fiber density. Secondly， nodal and global parameters were calculated， and brain ROIs with significant differences were determined by two-sample t-tests between groups. The results show that there is no difference in global parameters， but in nodal scale， SPD is significantly different in six ROIs. The distribution of ROIs is asymmetric in the left and right hemisphere. The functions of ROIs are highly related to cognition， emotion and perception. These findings would help the diagnosis and treatment of SPD.

Key words: schizotypal personality disorder, structural brain network, diffusion weighted imaging, graph theory, fiber bundles

CLC Number:

R445.2

QI Shou-liang， ZHANG Bo， LI Meng， WU Jian-lin. Graph Theory Based Study on Multi-weighted Structural Brain Network of Schizotypal Personality Disorder[J]. Journal of Northeastern University Natural Science, 2019, 40(8): 1093-1098.

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