Multiscale Framework Reveals Shared and Disorder-Specific Brain Connectivity Patterns (IMAGE)

Research

Multiscale Framework Reveals Shared and Disorder-Specific Brain Connectivity Patterns

Caption

Resting-state fMRI data were analyzed using heterogeneous matrix factorization to extract shared meta-BOLD signals, enabling identification of common and disorder-specific brain connectivity patterns in autism, ADHD, and schizophrenia and linking them to gene expression, neurotransmitter systems, and mitochondrial features. 

Credit

Prof. Fengchun Wu from Guangzhou Medical University, China

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Credit must be given to the creator.

License

CC BY

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