Artifact Characterization and a Multipurpose Template-Based Offline Removal Solution for a Sensing-Enabled Deep Brain Stimulation Device
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In this paper , three sources of artifact (and potential mitigations) in local field potential (LFP) signals collected by the Medtronic "Percept" device were investigated and the potential impact of artifact on the future development of adaptive DBS using this device.Abstract:
Background: The Medtronic “Percept” is the first FDA-approved deep brain stimulation (DBS) device with sensing capabilities during active stimulation. Its real-world signal-recording properties have yet to be fully described. Objective: This study details three sources of artifact (and potential mitigations) in local field potential (LFP) signals collected by the Percept and assesses the potential impact of artifact on the future development of adaptive DBS (aDBS) using this device. Methods: LFP signals were collected from 7 subjects in both experimental and clinical settings. The presence of artifacts and their effect on the spectral content of neural signals were evaluated in both the stimulation ON and OFF states using three distinct offline artifact removal techniques. Results: Template subtraction successfully removed multiple sources of artifact, including (1) electrocardiogram (ECG), (2) nonphysiologic polyphasic artifacts, and (3) ramping-related artifacts seen when changing stimulation amplitudes. ECG removal from stimulation ON (at 0 mA) signals resulted in spectral shapes similar to OFF stimulation spectra (averaged difference in normalized power in theta, alpha, and beta bands ≤3.5%). ECG removal using singular value decomposition was similarly successful, though required subjective researcher input. QRS interpolation produced similar recovery of beta-band signal but resulted in residual low-frequency artifact. Conclusions: Artifacts present when stimulation is enabled notably affected the spectral properties of sensed signals using the Percept. Multiple discrete artifacts could be successfully removed offline using an automated template subtraction method. The presence of unrejected artifact likely influences online power estimates, with the potential to affect aDBS algorithm performance.read more
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Journal ArticleDOI
Concurrent stimulation and sensing in bi-directional brain interfaces: a multi-site translational experience
Juan Anso,Moaad Benjaber,Brandon Parks,Samuel R. Parker,Carina R. Oehrn,Matthew N. Petrucci,Roee Gilron,Simon Little,Robert J. Wilt,Helen Bronte-Stewart,Aysegul Gunduz,David A. Borton,Phil Starr,Timothy J. Denison +13 more
TL;DR: A framework to study sources and propose mitigations of artifacts in devices that provide chronic aDBS is presented, highlighting the trade-offs in performance as novel sensing devices translate to the clinic.
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Diurnal modulation of subthalamic beta oscillatory power in Parkinson’s disease patients during deep brain stimulation
Joram J. van Rheede,Lucia K. Feldmann,J. Busch,John E. Fleming,Varvara Mathiopoulou,Timothy J. Denison,Andrew Sharott,Andrea A. Kühn +7 more
TL;DR: In this paper , the authors obtained chronic recordings (34 ± 13 days) of subthalamic beta power in PD patients implanted with the Percept DBS device during high-frequency DBS and analyzed their diurnal properties as well as sensitivity to artifacts.
Journal ArticleDOI
A comparison of methods to suppress electrocardiographic artifacts in local field potential recordings
M. J. Stam,Bernadette C.M. van Wijk,P. Sharma,Martijn Beudel,Dan Piña-Fuentes,Rob M.A. de Bie,P.R. Schuurman,Wolf-Julian Neumann,A. W. G. Buijink +8 more
TL;DR: In this paper , three ECG suppression methods were evaluated: (1) QRS interpolation of the Perceive toolbox, (2) template subtraction, and (3) singular value decomposition (SVD).
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Single-interface bioelectronic medicines—concept, clinical applications and preclinical data
TL;DR: A next generation class of closed-loop controlled and selective neurostimulators generically named bioelectronic medicines seems within reach to monitor and treat impaired functions by intercepting, analyzing and modulating neural signals involved in the regulation of such functions using just one neural interface for those purposes.
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Experimental Verification for Numerical Simulation of Thalamic Stimulation-Evoked Calcium-Sensitive Fluorescence and Electrophysiology with Self-Assembled Multifunctional Optrode
Yao-Wen Liang,Ming-Liang Lai,Feng Mao Chiu,Hsin-Yi Tseng,Yu Chun Lo,Ssu-Ju Li,Ching Wen Chang,Po Chuan Chen,You Yin Chen +8 more
TL;DR: In this paper , a self-assembled optrode was demonstrated as a DBS stimulator and an optical biosensor capable of concurrently recording Ca2+ fluorescence and electrophysiological signals.
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TL;DR: Reversibility and adaptability, allowing control of side-effects, make thalamic stimulation preferable to thalamotomy, especially when treatment of both sides of the brain is needed.
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Pallidal versus subthalamic deep-brain stimulation for Parkinson's disease.
Kenneth A. Follett,Kenneth A. Follett,Frances M. Weaver,Matthew B. Stern,Kwan Hur,Crystal L. Harris,Ping Luo,William J. Marks,Johannes C. Rothlind,Oren Sagher,Claudia S. Moy,Rajesh Pahwa,Kim J. Burchiel,Kim J. Burchiel,Penelope Hogarth,Eugene C. Lai,John E. Duda,Kathryn L. Holloway,Ali Samii,Stacy Horn,Jeff M. Bronstein,Gatana Stoner,Philip A. Starr,Richard K. Simpson,Gordon H. Baltuch,Antonio A.F. De Salles,Grant D. Huang,Domenic J. Reda +27 more
TL;DR: Patients with Parkinson's disease had similar improvement in motor function after either pallidal or subthalamic stimulation, and nonmotor factors may reasonably be included in the selection of surgical target for deep-brain stimulation.
Journal ArticleDOI
Adaptive deep brain stimulation in advanced Parkinson disease
Simon Little,A Pogosyan,Spencer Neal,Baltazar Zavala,Ludvic Zrinzo,Marwan Hariz,Thomas Foltynie,Patricia Limousin,Keyoumars Ashkan,James J. FitzGerald,Alexander L. Green,Tipu Z. Aziz,Peter Brown +12 more
TL;DR: This work uses a BCI to interpret pathological brain activity in patients with advanced Parkinson disease and to use this feedback to control when therapeutic deep brain stimulation (DBS) is delivered to improve on both the efficacy and efficiency of conventional continuous DBS.