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Paper Detail

Paper: PS-1A.58
Session: Poster Session 1A
Location: H Lichthof
Session Time: Saturday, September 14, 16:30 - 19:30
Presentation Time:Saturday, September 14, 16:30 - 19:30
Presentation: Poster
Publication: 2019 Conference on Cognitive Computational Neuroscience, 13-16 September 2019, Berlin, Germany
Paper Title: Adaptive Filters to Remove Deep Brain Stimulation Artifacts from Local Field Potentials
Manuscript:  Click here to view manuscript
License: Creative Commons License
This work is licensed under a Creative Commons Attribution 3.0 Unported License.
Authors: Taha Morshedzadeh, Neil M. Drummond, Utpal Saha, Robert Chen, Milad Lankarany, Krembil Brain Institute, Canada
Abstract: Deep Brain Stimulation (DBS) has continuously gained popularity as a symptomatic treatment in diseases such as Parkinson’s Disease (PD), Essential Tremor (ET), and dystonia. To better understand the mechanisms of DBS, intraoperative Local Field Potential (LFP) recordings are acquired from patients during DBS. These recordings are vastly affected by stimulation artifacts (SAs). Despite the recent advancements in digital- and analog-based processing methods in removing SAs, the common approaches tend to reject time or frequency domains. In this paper, we propose a robust computational framework based on adaptive filtering to automatically estimate the artifact induced by each individual DBS pulse and to recover the neural response during the artifact. An estimate of the common identical artifact is obtained by fitting a B-Spline smoothing function to the average of all recordings followed by DBS pulse. The common artifact, for each individual pulse, is then fed to a Normalized Least Mean Square (NLMS) adaptive filter whose error is equal to the difference between the recorded data and the recovered neural response. This framework is then confirmed using the LFP recorded from patients with PD at the level of the Subthalamic Nucleus (STN). The artifact is visibly and quantifiably diminished after ~ 1.5 msec after the onset of DBS pulse. This will allow researchers to peek further into the mechanism of action and health effects of DBS.