Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment : A Feasibility Study
Joint Authors
Kanellopoulos, Dora
Wang, Zhishun
Alexopoulos, George S.
Lim, Kelvin O.
Kelly, Robert E.
Murphy, Christopher F.
Morimoto, Sarah Shizuko
Gunning, Faith M.
Jia, Zhiru
Hoptman, Matthew J.
Source
International Journal of Biomedical Imaging
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-24, 24 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-06-28
Country of Publication
Egypt
No. of Pages
24
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Kelly, Robert E.& Wang, Zhishun& Alexopoulos, George S.& Gunning, Faith M.& Murphy, Christopher F.& Morimoto, Sarah Shizuko…[et al.]. 2010. Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment : A Feasibility Study. International Journal of Biomedical Imaging،Vol. 2010, no. 2010, pp.1-24.
https://search.emarefa.net/detail/BIM-504789
Modern Language Association (MLA)
Kelly, Robert E.…[et al.]. Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment : A Feasibility Study. International Journal of Biomedical Imaging No. 2010 (2010), pp.1-24.
https://search.emarefa.net/detail/BIM-504789
American Medical Association (AMA)
Kelly, Robert E.& Wang, Zhishun& Alexopoulos, George S.& Gunning, Faith M.& Murphy, Christopher F.& Morimoto, Sarah Shizuko…[et al.]. Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment : A Feasibility Study. International Journal of Biomedical Imaging. 2010. Vol. 2010, no. 2010, pp.1-24.
https://search.emarefa.net/detail/BIM-504789
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504789