• Dustin A Heldman, Christopher L Pulliam, Enrique Urrea Mendoza, Maureen Gartner, Joseph P Giuffrida, Erwin B Montgomery, Alberto J Espay, and Fredy J Revilla.
• Great Lakes NeuroTechnologies Inc., Cleveland, OH, USA.
• Neuromodulation. 2016 Feb 1; 19 (2): 127-32.

ObjectivePilot study to evaluate computer-guided deep brain stimulation (DBS) programming designed to optimize stimulation settings using objective motion sensor-based motor assessments.Materials And MethodsSeven subjects (five males; 54-71 years) with Parkinson's disease (PD) and recently implanted DBS systems participated in this pilot study. Within two months of lead implantation, the subject returned to the clinic to undergo computer-guided programming and parameter selection. A motion sensor was placed on the index finger of the more affected hand. Software guided a monopolar survey during which monopolar stimulation on each contact was iteratively increased followed by an automated assessment of tremor and bradykinesia. After completing assessments at each setting, a software algorithm determined stimulation settings designed to minimize symptom severities, side effects, and battery usage.ResultsOptimal DBS settings were chosen based on average severity of motor symptoms measured by the motion sensor. Settings chosen by the software algorithm identified a therapeutic window and improved tremor and bradykinesia by an average of 35.7% compared with baseline in the "off" state (p < 0.01).ConclusionsMotion sensor-based computer-guided DBS programming identified stimulation parameters that significantly improved tremor and bradykinesia with minimal clinician involvement. Automated motion sensor-based mapping is worthy of further investigation and may one day serve to extend programming to populations without access to specialized DBS centers.© 2015 International Neuromodulation Society.

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