Spatially constrained hierarchical parcellation of the brain with resting-state fMRI

• Published in: NeuroImage (Orlando, Fla.) Vol. 76; pp. 313 - 324
• Main Authors: Blumensath, Thomas, Jbabdi, Saad, Glasser, Matthew F., Van Essen, David C., Ugurbil, Kamil, Behrens, Timothy E.J., Smith, Stephen M.
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier Inc 01.08.2013; Elsevier; Elsevier Limited
• Subjects: Adolescent; Adult; Algorithms; Biological and medical sciences; Brain - physiology; Brain mapping; Brain Mapping - methods; Connectomics; Cortical parcellation; Female; Fundamental and applied biological sciences. Psychology; Humans; Image Processing, Computer-Assisted - methods; Magnetic Resonance Imaging - methods; Male; Methods; Middle Aged; Neurobiology; Registration; Rest - physiology; Resting state fMRI; Studies; Vertebrates: nervous system and sense organs; Young Adult; Resting state fMRI; Cortical parcellation; Connectomics; Central nervous system; Nuclear magnetic resonance imaging; Encephalon; Functional imaging

We propose a novel computational strategy to partition the cerebral cortex into disjoint, spatially contiguous and functionally homogeneous parcels. The approach exploits spatial dependency in the fluctuations observed with functional Magnetic Resonance Imaging (fMRI) during rest. Single subject par...