Hybrid ICA-Seed-Based Methods for fMRI Functional Connectivity Assessment: A Feasibility Study

Table 1

Experiment 2: mean correlations of hybrid ICA-seed-based maps with maps from task-related GLM, over the five target (nonseed) fMRI data sets. “Same” indicates mean correlation of hybrid method FC maps with task-related GLM derived from the same fMRI dataset. “Seed” indicates mean correlation of hybrid method FC maps with task-related GLM map from Run 3's fMRI dataset, the seed source.

Source of time course regressor(s)	Mean correlation with task-related map (95% Confidence Interval)		Same = Seed Null Hypothesis Test
	Same	Seed	𝑡	df	𝑃
Single voxel (SV)	0.71 (0.63–0.78)	0.23 (0.15–0.31)	11.3	4	<.001
Average over 5 voxels (FV)	0.71 (0.64–0.77)	0.23 (0.15–0.30)	15.2	4	<.001
Average over 118 voxels (MV)	0.79 (0.75–0.83)	0.33 (0.28–0.38)	19.1	4	<.001
Regression against 1 spatial map (DRS)	0.72 (0.66–0.77)	0.28 (0.21–0.35)	11.5	4	<.001
Regression against all spatial maps (DRA)	0.74 (0.69–0.79)	0.40 (0.39–0.41)	8.7	4	.001