TY - JOUR
T1 - Hybrid ICA-seed-based methods for fMRI functional connectivity assessment
T2 - A feasibility study
AU - Kelly, Robert E.
AU - Wang, Zhishun
AU - Alexopoulos, George S.
AU - Gunning, Faith M.
AU - Murphy, Christopher F.
AU - Morimoto, Sarah Shizuko
AU - Kanellopoulos, Dora
AU - Jia, Zhiru
AU - Lim, Kelvin O.
AU - Hoptman, Matthew J.
PY - 2010
Y1 - 2010
N2 - Brain functional connectivity (FC) is often assessed from fMRI data using seed-based methods, such as those of detecting temporal correlation between a predefined region (seed) and all other regions in the brain; or using multivariate methods, such as independent component analysis (ICA). ICA is a useful data-driven tool, but reproducibility issues complicate group inferences based on FC maps derived with ICA. These reproducibility issues can be circumvented with hybrid methods that use information from ICA-derived spatial maps as seeds to produce seed-based FC maps. We report results from five experiments to demonstrate the potential advantages of hybrid ICA-seed-based FC methods, comparing results from regressing fMRI data against task-related a priori time courses, with back-reconstruction from a group ICA, and with five hybrid ICA-seed-based FC methods: ROI-based with (1) single-voxel, (2) few-voxel, and (3) many-voxel seed; and dual-regression-based with (4) single ICA map and (5) multiple ICA map seed.
AB - Brain functional connectivity (FC) is often assessed from fMRI data using seed-based methods, such as those of detecting temporal correlation between a predefined region (seed) and all other regions in the brain; or using multivariate methods, such as independent component analysis (ICA). ICA is a useful data-driven tool, but reproducibility issues complicate group inferences based on FC maps derived with ICA. These reproducibility issues can be circumvented with hybrid methods that use information from ICA-derived spatial maps as seeds to produce seed-based FC maps. We report results from five experiments to demonstrate the potential advantages of hybrid ICA-seed-based FC methods, comparing results from regressing fMRI data against task-related a priori time courses, with back-reconstruction from a group ICA, and with five hybrid ICA-seed-based FC methods: ROI-based with (1) single-voxel, (2) few-voxel, and (3) many-voxel seed; and dual-regression-based with (4) single ICA map and (5) multiple ICA map seed.
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U2 - 10.1155/2010/868976
DO - 10.1155/2010/868976
M3 - Article
C2 - 20689712
AN - SCOPUS:77955284742
SN - 1687-4188
VL - 2010
JO - International Journal of Biomedical Imaging
JF - International Journal of Biomedical Imaging
M1 - 868976
ER -