Constructing Multi-view High-order Functional Connectivity Networks for Diagnosis of Autism Spectrum Disorder
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IEEE Transactions on Biomedical Engineering (TBME)
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To fully explore the discriminative information provided by different brain networks, a cluster-based multi-view high-order FCN (Ho-FCN) framework is proposed in this paper. Specifically, we first group the functional connectivity (FC) time series into different clusters and compute the multi-order central moment series for the FC time series in each cluster. Then we utilize the correlation of central moment series between different clusters to reveal the high-order FC relationships among multiple ROIs.
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