Computer Science ›› 2016, Vol. 43 ›› Issue (10): 317-321.doi: 10.11896/j.issn.1002-137X.2016.10.059

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Building of fMRI Dynamic Functional Connectivity Network and its Applications in Brain Diseases Identification

MA Shi-lin, MEI Xue, LI Wei-wei and ZHOU Yu   

  • Online:2018-12-01 Published:2018-12-01

Abstract: The way to extract abundant information from complex fMRI data is the key to improve the accuracy network in identification of brain diseases.For the conventional resting-state fMRI analysis,functional connectivity is assumed to be temporally stationary.A method of building dynamic functional connectivity network based on group ICA was put forward to obtain the dynamic characteristics of functional connectivity network.First,the spatial independent component of fMRI data obtained from group ICA algorithm is used as the network node.And then,the dynamic functional connectivity is built based on sliding time windows.The dynamic functional connectivity network is used as a feature to identify the healthy controls and patients with schizophrenia.Experimental results confirm that the proposed method is applicable and effective.It can obtain information of temporal dimension,improve the recognition rate at the same time,and provide an objective reference for clinical diagnosis.

Key words: fMRI,Dynamic functional connectivity,Group ICA,Classification and recognition

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