group independent component analysis(English)
- a powerful, data-driven statistical method used to decompose complex, multi-subject data—most commonly resting-state or task-based fMRI—into spatially independent, temporally coherent networks. It solves the problem of "component correspondence" across subjects, allowing researchers to identify common brain functional networks
- fMRI, ICA, PCA, SPM
- Statistics, Brain (dys)function, Neural network
- https://doi.org…icl.2015.08.012