Public Health Relevance

. While the exact mechanism that fuels deep brain stimulation clinical success stories remains unclear, the procedure effectively relieves Parkinson's disease motor symptoms when medication is no longer effective. However, clinicians lack tools that combine physiological, electrical, and behavioral data to optimize electrode placement and stimulator programming. ParkinTune?, a repeatable, automated tool that can quantify motor symptoms will assist stimulation programming during surgical electrode placement and outpatient follow up to optimize patient outcomes and reduce associated time and costs.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Small Business Innovation Research Grants (SBIR) - Phase II (R44)
Project #
7R44AG033520-04
Application #
8390622
Study Section
Special Emphasis Panel (ZRG1-MOSS-F (15))
Program Officer
Chen, Wen G
Project Start
2008-09-01
Project End
2013-08-31
Budget Start
2012-02-15
Budget End
2013-08-31
Support Year
4
Fiscal Year
2010
Total Cost
$32,616
Indirect Cost
Name
Great Lakes Neurotechnologies
Department
Type
DUNS #
965540359
City
Valley View
State
OH
Country
United States
Zip Code
44125
Pulliam, Christopher L; Heldman, Dustin A; Orcutt, Tseganesh H et al. (2015) Motion sensor strategies for automated optimization of deep brain stimulation in Parkinson's disease. Parkinsonism Relat Disord 21:378-82
Mera, Thomas; Vitek, Jerrold L; Alberts, Jay L et al. (2011) Kinematic optimization of deep brain stimulation across multiple motor symptoms in Parkinson's disease. J Neurosci Methods 198:280-6