sGraSP: A graph-based method for the derivation of subject-specific functional parcellations of the brain

• Published in: Journal of neuroscience methods Vol. 277; pp. 1 - 20
• Main Authors: Honnorat, N., Satterthwaite, T.D., Gur, R.E., Gur, R.C., Davatzikos, C.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier B.V 01.02.2017
• Subjects: Adolescent; Algorithms; Brain - diagnostic imaging; Child; Cohort Studies; Computer Graphics; Connectome; Female; Humans; Image Processing, Computer-Assisted; Magnetic Resonance Imaging; Male; Models, Neurological; Oxygen - blood; Parcellation; Rest; Rs-fMRI; Tessellation; Young Adult; Tessellation; Parcellation; Rs-fMRI

•We describe sGraSP, a novel subject-specific functional parcellation method.•sGraSP is tested using a large neurodevelopmental cohort (859 scans total).•Additional tests are generated by mixing subject and population signal.•sGraSP outperforms simpler approaches based on Voronoi tessellations.•Neur...