Nonlinear ICA of fMRI reveals primitive temporal structures linked to rest, task, and behavioral traits

Hiroshi Morioka, Vince Calhoun, Aapo Hyvarinen

Research output: Contribution to journalArticleScientificpeer-review

Original languageEnglish
Article number116989
JournalNeuroImage
Volume218
Number of pages17
ISSN1053-8119
DOIs
Publication statusPublished - Sep 2020
MoE publication typeA1 Journal article-refereed

Fields of Science

  • Nonlinear spatial independent component analysis (sICA)
  • Local space-contrastive learning (LSCL)
  • Unsupervised deep learning
  • Temporal primitives
  • Resting-state functional magnetic resonance imaging (fMRI)
  • Behavioral traits
  • INDEPENDENT COMPONENT ANALYSIS
  • DYNAMIC FUNCTIONAL CONNECTIVITY
  • BRAIN CONNECTIVITY
  • STATE FMRI
  • FLUCTUATIONS
  • STIMULUS
  • ORGANIZATION
  • RESPIRATION
  • NETWORKS
  • PATTERNS
  • 113 Computer and information sciences

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