S-GCN: A siamese spectral graph convolutions on brain connectivity networks

Alzheimer's disease AD is a progressive brain disorder which has a long preclinical phase. The beta-amyloid plaques and tangles in the brain are considered as the main pathological causes. Functional connectivity is typically examined in capturing brain ...

Recently, brain connectivity networks have been used for the classification of neurological disorder, such as Autism Spectrum Disorders (ASD) or Alzheimer's disease (AD). Network analysis provides a new way for exploring the association ...

• A hierarchical GCN is proposed for brain network learning with network topology and subject’s association simultaneously.
• We develop an optimization strategy for jointly learning the proposed model to handle network data with more ...

Deep neural networks have been demonstrated to extract high level features from neuroimaging data when classifying brain states. Identifying salient features characterizing brain states further refines the focus of clinicians and allows design of ...