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. Author manuscript; available in PMC: 2014 Jan 31.
Published in final edited form as: Neuroinformatics. 2013 Apr;11(2):193–210. doi: 10.1007/s12021-012-9157-y

Figure 1.

Figure 1

The flowchart of the algorithmic pipeline for fiber-centered brain state change detection. Eight steps are labeled as follows. (1) brain tissue segmentation (gray matter (GM) and white matter (WM)) and fiber tractography using DTI data; (2) warping fMRI images to the DTI space via image registration; (3) identification of structurally-connected GM (SCGM) voxel pairs; (4) fMRI signal extraction at each SCGM voxel pair; (5) applying sliding windows to fMRI signals; (6) functional connectivity analysis for each SCGM voxel pair within the sliding window; (7) functional connectivity vector (FCV) construction for each sliding window; (8) Sub-network analysis of fiber-centered functional connectivity dynamics.