Patient-specific models of deep brain stimulation: Influence of field model complexity on neural activation predictions.
Chaturvedi A, Butson CR, Lempka SF, Cooper SE, McIntyre CC. Patient-specific models of deep brain stimulation: Influence of field model complexity on neural activation predictions. , Brain Stimul. 2010 Apr;3(2):65-77.
The purpose of this article was to evaluate different DBS STN settings as created by a computer based model in order to predict patient specific optimal settings for the best possible motor improvement. The authors utilized various imaging and recording devices to evaluate five different models that produced stimulation from the DBS. They also focused on the different types of brain tissue that surrounds the stimulator to evaluate possible causes of adverse events from possible spread of the stimulation. This study was very detailed in the methodology used and recommended that continued work needs to be completed to better understand this therapy for People with Parkinson’s (PWP) in order to avoid oversimplification of stimulator settings, maximize stimulation benefit, and minimize adverse events. This study highlights that even though DBS STN has been around for years clinicians, researchers, patients, and families are still learning about this treatment option and improving upon techniques of the past in order to provide the best treatment possible.