Premium
Basic algorithms for the programming of deep brain stimulation in Parkinson's disease
Author(s) -
Volkmann Jens,
Moro Elena,
Pahwa Rajesh
Publication year - 2006
Publication title -
movement disorders
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.352
H-Index - 198
eISSN - 1531-8257
pISSN - 0885-3185
DOI - 10.1002/mds.20961
Subject(s) - deep brain stimulation , parkinson's disease , movement disorders , subthalamic nucleus , flowchart , stimulation , computer science , neuroscience , medicine , psychology , disease , physical medicine and rehabilitation , machine learning , pathology , programming language
The clinical success of deep brain stimulation (DBS) for treating Parkinson's disease (PD) critically depends on the quality of postoperative neurological management. Movement disorder specialists becoming involved with this therapy need to acquire new skills to adapt optimally stimulation parameters and medication after implantation of a DBS system. At first glance, the infinite number of theoretically possible parameter combinations seems to make programming a complex and time‐consuming art. This article outlines a stepwise and standardized approach, reducing the possible parameter settings in DBS to a few relevant combinations. The basic programming algorithms for thalamic, subthalamic, and pallidal stimulation in PD are explained and summarized in flowcharts. © 2006 Movement Disorder Society