Independent vector analysis for common subspace analysis: Application to multi-subject fMRI data yields meaningful subgroups of schizophrenia

Lignende værker

• Spatial Dynamic Functional Connectivity Analysis Identifies Distinctive Biomarkers in Schizophrenia
  af: Bhinge, Suchita, et al.
  Udgivet: (2019)
• Adaptive constrained independent vector analysis: An effective solution for analysis of large-scale medical imaging data
  af: Bhinge, Suchita, et al.
  Udgivet: (2020)
• Disjoint Subspaces for Common and Distinct Component Analysis: Application to the Fusion of Multi-task FMRI Data
  af: Akhonda, M. A. B. S., et al.
  Udgivet: (2021)
• Graph-theoretical analysis identifies transient spatial states of resting-state dynamic functional network connectivity and reveals dysconnectivity in schizophrenia
  af: Long, Qunfang, et al.
  Udgivet: (2020)
• The role of diversity in data‐driven analysis of multi‐subject fMRI data: Comparison of approaches based on independence and sparsity using global performance metrics
  af: Long, Qunfang, et al.
  Udgivet: (2018)