Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition

Learning Clique Subgraphs in Structural Brain Network Classification with Application to Crystallized Cognition

Structural brain networks constructed from diffusion MRI are important biomarkers for understanding human brain structure and its relation to cognitive functioning. There is increasing interest in learning differences in structural brain networks between groups of subjects in neuroimaging studies, l...

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Bibliographic Details
Main Authors: Lu Wang, Feng Vankee Lin, Martin Cole, Zhengwu Zhang
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:NeuroImage
Subjects:
Network classification
Signal subgraph learning
Clique subgraphs
Structural brain networks
Symmetric bilinear logistic regression
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811920309782

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