Connectometry: A statistical approach harnessing the analytical potential of the local connectome

• Published in: NeuroImage (Orlando, Fla.) Vol. 125; pp. 162 - 171
• Main Authors: Yeh, Fang-Cheng, Badre, David, Verstynen, Timothy
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 15.01.2016; Elsevier Limited
• Subjects: Brain - physiology; Connectome; Connectome - methods; Connectometry; Consortia; Diffusion Magnetic Resonance Imaging; Diffusion MRI; Diffusion spectrum imaging; Generalized q-sampling imaging; Humans; Image Processing, Computer-Assisted; Laboratories; Mental disorders; Models, Neurological; Neural Pathways - physiology; q-Space diffeomorphic reconstruction; Quantitative anisotropy; Studies; White Matter - physiology; Diffusion spectrum imaging; Diffusion MRI; Quantitative anisotropy; Connectome; Connectometry; Generalized q-sampling imaging; q-Space diffeomorphic reconstruction

Here we introduce the concept of the local connectome: the degree of connectivity between adjacent voxels within a white matter fascicle defined by the density of the diffusing spins. While most human structural connectomic analyses can be summarized as finding global connectivity patterns at either...