Connectivity Predicts deep brain stimulation outcome in Parkinson disease

• Published in: Annals of neurology Vol. 82; no. 1; pp. 67 - 78
• Main Authors: Horn, Andreas, Reich, Martin, Vorwerk, Johannes, Li, Ningfei, Wenzel, Gregor, Fang, Qianqian, Schmitz‐Hübsch, Tanja, Nickl, Robert, Kupsch, Andreas, Volkmann, Jens, Kühn, Andrea A., Fox, Michael D.
• Format: Journal Article
• Language: English
• Published: United States Wiley Subscription Services, Inc 01.07.2017
• Subjects: Aged; Brain; Case-Control Studies; Computer networks; Connectome; Cortex (motor); Deep Brain Stimulation; Electrical stimuli; Female; Humans; Male; Middle Aged; Motor Cortex - physiology; Motor task performance; Movement disorders; Neural networks; Neurodegenerative diseases; Neuroimaging; Nuclei; Parkinson Disease - therapy; Parkinson's disease; Patients; Predictions; Solitary tract nucleus; Stimulation; Structure-function relationships; Subthalamic nucleus; Subthalamic Nucleus - physiology; Supplementary motor area; Training; Treatment Outcome

Objective The benefit of deep brain stimulation (DBS) for Parkinson disease (PD) may depend on connectivity between the stimulation site and other brain regions, but which regions and whether connectivity can predict outcome in patients remain unknown. Here, we identify the structural and functional...