首页|Brain Network Analysis of Schizophrenia Based on the Functional Connectivity

Brain Network Analysis of Schizophrenia Based on the Functional Connectivity

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Network analysis based on graph theory has greatly promoted the cognition of the human brain network. A detailed brain network function connection analysis was carried out for the brain of normal human brain and mental illness patients. We studied the Magnetoencephalography (MEG) of 9 normal subjects and 9 schizophrenics in left hemisphere temporal lobe and frontal lobe regions. And obtained the dynamic function connectivity matrix by calculating Pearson correlation coefficients that based on sliding time window and short-time Fourier transform, and constructed weight and binary network by graph theory. Analyzed the small world properties of normal human brain networks, and compared the differences of network between normal subjects and patients with schizophrenia.

Magnetoencephalography (MEG)Dy-namic functional connectivityFunctional networksGraph theory

ZHANG Xuejun、WANG Longqiang、DING Yuhan、HUANG Liya、CHENG Xiefeng

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School of Electronic and Optical Engineering, Nanjing University of Posts and Telecommunications, Nanjing 210023, China

Nation-Local Joint Project Engineering Lab of RF Integration & Micropackage, Nanjing 210023, China

National Natural Science Foundation of China

61271334

2019

中国电子杂志(英文版)

中国电子杂志(英文版)

CSTPCDCSCDSCIEI
ISSN:1022-4653
年,卷(期):2019.28(3)
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