China
Research Article
Modularization Analysis of Brain Functional Network Using Fuzzy C-means Algorithm and Correlation in Resting State
Author(s): Zhuqing J, Huan W and Ling ZZhuqing J, Huan W and Ling Z
Aiming to study the local functional structure of brain function network in resting state, the Fuzzy C-means (FCM) algorithm is adapted to modular the brain functional network. Then the nodes in module are connected into a network using correlation between the time series extracted from Functional Magnetic Resonance Imaging (fMRI) data. Afterwards node degree, clustering coefficient and shortest path length are used to analyse the functional characteristics of networks. Finally, the differences in activation between patients and normal controls’ brain regions are compared through Amplitude of Low Frequency Fluctuation (ALFF). Experimental results demonstrate that, the shortest path length of the patient is smaller than that of the normal human, so the information transmission rate increases. Clustering coefficient is higher than the normal, and the degree of grouping of network .. Read More»
DOI:
10.4172/2157-7420.1000255
Journal of Health & Medical Informatics received 2700 citations as per Google Scholar report