Fig. 1: Methods for processing and analyzing the ADC-fMRI and BOLD-fMRI data. | Communications Biology

Fig. 1: Methods for processing and analyzing the ADC-fMRI and BOLD-fMRI data.

From: Apparent Diffusion Coefficient fMRI shines light on white matter resting-state connectivity compared to BOLD

Fig. 1

A Subject-wise processing. Time series were averaged within ROIs shared in all subjects and containing at least 10 voxels. The correlation between a pair of ROIs was calculated using Pearson’s pairwise partial correlation with the global signal from the whole brain slab as a covariate. A Fisher transform was then applied to obtain the function connectivity matrix. B Group-wise analysis. The binary mask of significant edges was derived using two-sided one-sample Wilcoxon tests with multiple comparisons correction (FDR Benjamini-Hochberg). It was then applied to individual FC matrices or to the mean FC matrix. The masked individual FC matrices were either transformed into graphs, on which graph metrics were calculated, or used to derive an inter-subject similarity index. For pairs of subjects, the edges contained in the upper triangle (excluding self-connections) were linearized, and a pairwise Pearson’s correlation coefficient was calculated.

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