Figure 1
From: Different MRI structural processing methods do not impact functional connectivity computation

Workflow of the analysis. Each participant underwent resting-state functional, T1-weighted (T1w), and T2-weighted (T2w) MRI scans. Surface reconstruction was performed through a unimodal pipeline (UP; using T1w signal) or a multimodal pipeline (MP; combining T1w and T2w signals). For the UP workflow (pink triangle), 3D T1w structural images were processed using the recon-all processing stream, which performed all reconstruction steps, including motion correction, intensity normalization, skull-stripping, white matter (WM) segmentation, spherical morph, and parcellation. MP workflow (blue and pink triangle) included the T2w images (blue triangle) in the Freesurfer workflow, recomputing spherical morph and cortical parcellation to adjust the pial surfaces. The preprocessing steps for resting-state data included head movement correction, intensity normalization, anatomical registration, and smoothing. For the anatomical registration step, the rs-fMRI preprocessing pipeline was run independently for the UP and the MP. Structural (volume, cortical thickness, and gyrification index) and functional (mean FC, seed-ROI maps, spatial topology, and graph analysis) outcomes were compared between the two different pipelines.