Connectivity Predicts Deep Brain Stimulation Outcome in Parkinson Disease

By Andreas Horn, M. Reich, J. Vorwerk, Ningfei Li, G. Wenzel, Qianqian Fang, T. Schmitz-Hübsch, R. Nickl, Andreas Kupsch, J. Volkmann and 2 more. Annals of Neurology, 2017

670 citations recorded by the source corpus.

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 connectivity profile of effective DBS to the subthalamic nucleus (STN) and test its ability to predict outcome in an independent cohort.

Subfields: Neurology

View Paper: https://www.semanticscholar.org/paper/18f0f859924645c1b8897ea790835e89154d8ccf

Citations in the corpus

• Lead-DBS v2: Towards a comprehensive pipeline for deep brain stimulation imaging (2018, neutral): “Since no FGATIR-template exists in 2009b space, Lead-DBS automatically paired this scan with an aggregated PCA template (Horn, 2017).”