Parallel group ICA+ICA: Joint estimation of linked functional network variability and structural covariation with application to schizophrenia.

ABSTRACT: There is growing evidence that rather than using a single brain imaging modality to study its association with physiological or symptomatic features, the field is paying more attention to fusion of multimodal information. However, most current multimodal fusion approaches that incorporate functional magnetic resonance imaging (fMRI) are restricted to second-level 3D features, rather than the original 4D fMRI data. This trade-off is that the valuable temporal information is not utilized during the fusion step. Here we are motivated to propose a novel approach called "parallel group ICA+ICA" that incorporates temporal fMRI information from group independent component analysis (GICA) into a parallel independent component analysis (ICA) framework, aiming to enable direct fusion of first-level

SUBMITTER: Qi S 

PROVIDER: S-EPMC6865807 | biostudies-literature | 2019 Sep

REPOSITORIES: biostudies-literature