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基于白質(zhì)纖維束的膠質(zhì)瘤患者腦功能網(wǎng)絡(luò)分析

Analysis for brain functional network of glioma patients based on white matter fiber tracking

作者: 朱威州  陶玲  錢志余  丁尚文  胥傳健 
單位:南京航空航天大學(xué)自動化學(xué)院(南京210016)
關(guān)鍵詞: 白質(zhì)纖維束;小世界網(wǎng)絡(luò);膠質(zhì)瘤;網(wǎng)絡(luò)節(jié)點度;腦功能網(wǎng)絡(luò) 
分類號:
出版年·卷·期(頁碼):2013·32·5(449-455)
摘要:

目的 復(fù)雜網(wǎng)絡(luò)理論揭示了人腦結(jié)構(gòu)和功能網(wǎng)絡(luò)中的很多拓?fù)鋵傩裕ㄟ^基于白質(zhì)纖維束的腦功能網(wǎng)絡(luò)

建模方法分析膠質(zhì)瘤患者功能網(wǎng)絡(luò)變異特性。方法 首先基于matlab平臺利用spm8數(shù)據(jù)包對數(shù)據(jù)進(jìn)行預(yù)處理

,然后采用磁共振白質(zhì)纖維束和小世界網(wǎng)絡(luò)理論對20例正常人和20例神經(jīng)膠質(zhì)瘤患者進(jìn)行腦功能網(wǎng)絡(luò)建模。

通過對腦功能網(wǎng)絡(luò)連接度、簇系數(shù)和平均路徑等參數(shù)分析,研究膠質(zhì)瘤患者小世界拓?fù)鋵傩浴=Y(jié)果 對比正

常人,被試神經(jīng)膠質(zhì)瘤患者腦功能網(wǎng)絡(luò)遭到破壞,患者腦網(wǎng)絡(luò)的小世界屬性及網(wǎng)絡(luò)容錯能力明顯下降,信息

傳輸最大的腦功能區(qū)區(qū)域發(fā)生轉(zhuǎn)移,平均路徑在額中回、旁中央小葉、頂葉等區(qū)域出現(xiàn)異常。結(jié)論 膠質(zhì)瘤

患者腦功能網(wǎng)絡(luò)變異明顯,小世界屬性顯著降低。

Objective The theory of complex network reveals the topological properties in

human brain structure and functional network.The method of modeling the brain functional

network based on white matter fiber tracking is to analyze variation characteristics of the

functional network of the patients with glioma.Methods First,we preprocess the data with the

spm8 package based on matlab platform.Then,MRI white matter fiber bundle and small-world

network theory are utilized to build the brain function network of 20 normal persons and 20

glioma patients.By analyzing network connectivity of brain function,cluster coefficient,the

average path and other parameters,the small world topological properties are studied.Results

Compared with the normal persons,the brain functional network of the glioma patients is

destroyed.The small-world network properties and the ability of network fault tolerance of the

glioma patients decrease obviously.The functional areas of maximum information transmission

shift and the average path in middle frontal gyrus,gyrus rectus and paracentral lobule region

is abnormal.Conclusions The variation in brain functional network of the glioma patients is

obvious and the small world properties significantly decrease.

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