Literature DB >> 24445430

Chronic cortical and electromyographic recordings from a fully implantable device: preclinical experience in a nonhuman primate.

Elena Ryapolova-Webb1, Pedram Afshar, Scott Stanslaski, Tim Denison, Coralie de Hemptinne, Krystof Bankiewicz, Philip A Starr.   

Abstract

OBJECTIVE: Analysis of intra- and perioperatively recorded cortical and basal ganglia local field potentials in human movement disorders has provided great insight into the pathophysiology of diseases such as Parkinson's, dystonia, and essential tremor. However, in order to better understand the network abnormalities and effects of chronic therapeutic stimulation in these disorders, long-term recording from a fully implantable data collection system is needed. APPROACH: A fully implantable investigational data collection system, the Activa® PC + S neurostimulator (Medtronic, Inc., Minneapolis, MN), has been developed for human use. Here, we tested its utility for extended intracranial recording in the motor system of a nonhuman primate. The system was attached to two quadripolar paddle arrays: one covering sensorimotor cortex, and one covering a proximal forelimb muscle, to study simultaneous cortical field potentials and electromyography during spontaneous transitions from rest to movement. MAIN
RESULTS: Over 24 months of recording, movement-related changes in physiologically relevant frequency bands were readily detected, including beta and gamma signals at approximately 2.5 μV/[Formula: see text] and 0.7 μV/[Formula: see text], respectively. The system architecture allowed for flexible recording configurations and algorithm triggered data recording. In the course of physiological analyses, sensing artifacts were observed (∼1 μVrms stationary tones at fixed frequency), which were mitigated either with post-processing or algorithm design and did not impact the scientific conclusions. Histological examination revealed no underlying tissue damage; however, a fibrous capsule had developed around the paddles, demonstrating a potential mechanism for the observed signal amplitude reduction. SIGNIFICANCE: This study establishes the usefulness of this system in measuring chronic brain and muscle signals. Use of this system may potentially be valuable in human trials of chronic brain recording in movement disorders, a next step in the design of closed-loop neurostimulation paradigms.

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Year:  2014        PMID: 24445430     DOI: 10.1088/1741-2560/11/1/016009

Source DB:  PubMed          Journal:  J Neural Eng        ISSN: 1741-2552            Impact factor:   5.379


  22 in total

1.  Chronic multisite brain recordings from a totally implantable bidirectional neural interface: experience in 5 patients with Parkinson's disease.

Authors:  Nicole C Swann; Coralie de Hemptinne; Svjetlana Miocinovic; Salman Qasim; Jill L Ostrem; Nicholas B Galifianakis; Marta San Luciano; Sarah S Wang; Nathan Ziman; Robin Taylor; Philip A Starr
Journal:  J Neurosurg       Date:  2017-04-14       Impact factor: 5.115

2.  Intraoperative electrocorticography for physiological research in movement disorders: principles and experience in 200 cases.

Authors:  Fedor Panov; Emily Levin; Coralie de Hemptinne; Nicole C Swann; Salman Qasim; Svjetlana Miocinovic; Jill L Ostrem; Philip A Starr
Journal:  J Neurosurg       Date:  2016-02-26       Impact factor: 5.115

3.  Cloud computing for seizure detection in implanted neural devices.

Authors:  Steven Baldassano; Xuelong Zhao; Benjamin Brinkmann; Vaclav Kremen; John Bernabei; Mark Cook; Timothy Denison; Gregory Worrell; Brian Litt
Journal:  J Neural Eng       Date:  2018-12-18       Impact factor: 5.379

Review 4.  Toward sophisticated basal ganglia neuromodulation: Review on basal ganglia deep brain stimulation.

Authors:  Claudio Da Cunha; Suelen L Boschen; Alexander Gómez-A; Erika K Ross; William S J Gibson; Hoon-Ki Min; Kendall H Lee; Charles D Blaha
Journal:  Neurosci Biobehav Rev       Date:  2015-02-12       Impact factor: 8.989

Review 5.  Closed-loop neuromodulation systems: next-generation treatments for psychiatric illness.

Authors:  Meng-Chen Lo; Alik S Widge
Journal:  Int Rev Psychiatry       Date:  2017-02-10

6.  A Materials Roadmap to Functional Neural Interface Design.

Authors:  Steven M Wellman; James R Eles; Kip A Ludwig; John P Seymour; Nicholas J Michelson; William E McFadden; Alberto L Vazquez; Takashi D Y Kozai
Journal:  Adv Funct Mater       Date:  2017-07-19       Impact factor: 18.808

7.  Differentiating tic electrophysiology from voluntary movement in the human thalamocortical circuit.

Authors:  Jackson N Cagle; Michael S Okun; Enrico Opri; Stephanie Cernera; Rene Molina; Kelly D Foote; Aysegul Gunduz
Journal:  J Neurol Neurosurg Psychiatry       Date:  2020-03-05       Impact factor: 10.154

8.  Local field potential recordings in a non-human primate model of Parkinsons disease using the Activa PC + S neurostimulator.

Authors:  Allison T Connolly; Abirami Muralidharan; Claudia Hendrix; Luke Johnson; Rahul Gupta; Scott Stanslaski; Tim Denison; Kenneth B Baker; Jerrold L Vitek; Matthew D Johnson
Journal:  J Neural Eng       Date:  2015-10-15       Impact factor: 5.379

Review 9.  Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders.

Authors:  Andrea A Kühn; R Mark Richardson; Wolf-Julian Neumann; Robert S Turner; Benjamin Blankertz; Tom Mitchell
Journal:  Neurotherapeutics       Date:  2019-01       Impact factor: 7.620

10.  Origins and suppression of oscillations in a computational model of Parkinson's disease.

Authors:  Abbey B Holt; Theoden I Netoff
Journal:  J Comput Neurosci       Date:  2014-08-07       Impact factor: 1.621

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