MIC as an Appropriate Method to Construct the Brain Functional Network. (1st February 2015)

• Record Type: Journal Article
• Authors: Zhang, Ziqing; Sun, Shu; Yi, Ming; Wu, Xia; Ding, Yiming
• Other Names: Kaneoke Yoshiki Academic Editor.
• Is Part Of: BioMed research international. Volume 2015(2015)
• Publication Date: 2015-02-01
• Subjects: Medicine -- Periodicals; Biology -- Periodicals; Biotechnology -- Periodicals; Life sciences -- Periodicals; 610.5
• DOI: 10.1155/2015/825136
• Languages: English
• ISSNs: 2314-6133

Abstract

Abstract : Using an effective method to measure the brain functional connectivity is an important step to study the brain functional network. The main methods for constructing an undirected brain functional network include correlation coefficient (CF), partial correlation coefficient (PCF), mutual information (MI), wavelet correlation coefficient (WCF), and coherence (CH). In this paper we demonstrate that the maximal information coefficient (MIC) proposed by Reshef et al. is relevant to constructing a brain functional network because it performs best in the comprehensive comparisons in consistency and robustness. Our work can be used to validate the possible new functional connection measures.