Strength and similarity guided group-level brain functional network construction for MCI diagnosis

• Published in: Pattern recognition Vol. 88; pp. 421 - 430
• Main Authors: Zhang, Yu, Zhang, Han, Chen, Xiaobo, Liu, Mingxia, Zhu, Xiaofeng, Lee, Seong-Whan, Shen, Dinggang
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.04.2019
• Subjects: Alzheimers disease; Brain functional network; Diagnosis; Functional connectivity; Group sparse representation; Mild cognitive impairment; Resting-state functional magnetic resonance imaging (rs-fMRI); Functional connectivity; Mild cognitive impairment; Group sparse representation; Diagnosis; Alzheimers disease; Brain functional network; Resting-state functional magnetic resonance imaging (rs-fMRI); brain functional network; functional connectivity; resting-state functional magnetic resonance imaging (rs-fMRI); group sparse representation; diagnosis; mild cognitive impairment

Sparse representation-based brain functional network modeling often results in large inter-subject variability in the network structure. This could reduce the statistical power in group comparison, or even deteriorate the generalization capability of the individualized diagnosis of brain diseases. A...