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《Journal of Hubei University for Nationalities(Natural Science Edition)》 2018-01
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Chaotic Analysis of fMRI Based on the Dependence of Neighbor Subseries

ZHANG Liangliang;HUANG Kunqiang;WANG Bing;ZHANG Weiguo;School of Computer and Communication Engineering,Zhengzhou University of Light Industry;  
In order to reveal the nonlinear information of brain functional activity,and fully understand the mechanism of brain activity,this study proposed that the dependence of neighbor subseries(DN) analysis method should be used to measure brain functional activity.This study used DN method to explore the brain function activities based on functional magnetic resonance(fMRI),which could extract the nonlinear characteristics of brain functional activity.In this study,DN was employed to examine the differences of brain function activity between female health group and male health group.The results showed that the DN values of female health group were higher than those of the male health group in the right orbit inferior frontal gyrus,the right insula,the right hippocampus,the bilateral anterior cingulate and paracingulate gyrus,the left medial part of superior frontal gyrus,the bilateral precentral gyrus,the bilateral postcentral gyrus,the right opercular part of the inferior frontal gyrus,the left supramarginal gyrus.The observed differences may be related to sex differences of brain structure and behavior and cognitive.More importantly,the DN method can extract nonlinear characteristics of fMRI that could not be probed by regional homogeneity method.The above results further verified the feasibility and significance of DN analysis of fMRI on a certain degree through comparing the results determined by DN and Re Ho.
【Fund】: 河南省科技开放合作计划项目(172106000074);; 郑州轻工业学院研究生科技创新基金(2016)
【CateGory Index】: R445.2
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