Journal
PLOS COMPUTATIONAL BIOLOGY
Volume 12, Issue 7, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1005011
Keywords
-
Funding
- National Science Foundation [1264535, 0954797]
- MnDrive Neuromodulation Student Fellowship
- UMN Undergraduate Research Opportunity Program
- NSF Research Experience for Undergraduates NSF [DMS 0847749]
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [1264432] Funding Source: National Science Foundation
- Div Of Chem, Bioeng, Env, & Transp Sys
- Directorate For Engineering [0954797, 1264535] Funding Source: National Science Foundation
Ask authors/readers for more resources
We propose a novel, closed-loop approach to tuning deep brain stimulation (DBS) for Parkinson's disease (PD). The approach, termed Phasic Burst Stimulation (PhaBS), applies a burst of stimulus pulses over a range of phases predicted to disrupt pathological oscillations seen in PD. Stimulation parameters are optimized based on phase response curves (PRCs), which would be measured from each patient. This approach is tested in a computational model of PD with an emergent population oscillation. We show that the stimulus phase can be optimized using the PRC, and that PhaBS is more effective at suppressing the pathological oscillation than a single phasic stimulus pulse. PhaBS provides a closed-loop approach to DBS that can be optimized for each patient.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available