Evaluation of Whole-Brain Resting-State Functional Connectivity in Spinal Cord Injury: A Large-Scale Network Analysis Using Network-Based Statistic

Large-scale network analysis characterizes the brain as a complex network of nodes and edges to evaluate functional connectivity patterns. The utility of graph-based techniques has been demonstrated in an increasing number of resting-state functional MRI (rs-fMRI) studies in the normal and diseased...

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Veröffentlicht in:	Journal of neurotrauma 2017-03, Vol.34 (6), p.1278-1282
Hauptverfasser:	Kaushal, Mayank, Oni-Orisan, Akinwunmi, Chen, Gang, Li, Wenjun, Leschke, Jack, Ward, B Douglas, Kalinosky, Benjamin, Budde, Matthew D, Schmit, Brian D, Li, Shi-Jiang, Muqeet, Vaishnavi, Kurpad, Shekar N
Format:	Artikel
Sprache:	eng
Schlagworte:	Adult Aged Brain Cerebellum - diagnostic imaging Cerebellum - physiopathology Connectome - methods Graph theory Humans Magnetic Resonance Imaging Male Middle Aged Neuronal Plasticity - physiology NMR Nuclear magnetic resonance Sensorimotor Cortex - diagnostic imaging Sensorimotor Cortex - physiopathology Spinal cord injuries Spinal Cord Injuries - diagnostic imaging Spinal Cord Injuries - physiopathology
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