Journal
INTERNATIONAL JOURNAL OF BIOMEDICAL IMAGING
Volume 2010, Issue -, Pages -Publisher
HINDAWI LTD
DOI: 10.1155/2010/868976
Keywords
-
Categories
Funding
- NIMH [R01 MH065653, P30 MH085943, T32 MH019132, K23 MH074818]
- Sanchez Foundation
- TRU Foundation
- Forest Pharmaceuticals, Inc.
- Cephalon and participated in scientific advisory board meetings of Forest Pharmaceuticals
- Comprehensive Neuroscience, Inc.
- NATIONAL INSTITUTE OF MENTAL HEALTH [T32MH019132, P30MH085943, K23MH074818, R01MH065653] Funding Source: NIH RePORTER
Ask authors/readers for more resources
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.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available