Cortical network fingerprints predict deep brain stimulation outcome in dystonia
Gabriel González‐Escamilla, Muthuraman Muthuraman, Martin M. Reich, Nabin Koirala, Christian Heiner Riedel, Martin B. Glaser, Florian Lange, Günther Deuschl, Jens Volkmann, Sergiu Groppa
This study uses cortical network analysis to predict deep brain stimulation outcomes in dystonia patients, finding that grey matter atrophy patterns can predict response with 88% accuracy.
Movement Disorders · Aug 21, 2019Peer-reviewedNeuroscience