Fully implanted adaptive deep brain stimulation in freely moving essential tremor patients.


Journal

Journal of neural engineering
ISSN: 1741-2552
Titre abrégé: J Neural Eng
Pays: England
ID NLM: 101217933

Informations de publication

Date de publication:
15 10 2020
Historique:
entrez: 15 10 2020
pubmed: 16 10 2020
medline: 29 6 2021
Statut: epublish

Résumé

Deep brain stimulation (DBS) is a safe and established treatment for essential tremor (ET) and several other movement disorders. One approach to improving DBS therapy is adaptive DBS (aDBS), in which stimulation parameters are modulated in real time based on biofeedback from either external or implanted sensors. Previously tested systems have fallen short of translational applicability due to the requirement for patients to continuously wear the necessary sensors or processing devices, as well as privacy and security concerns. We designed and implemented a translation-ready training data collection system for fully implanted aDBS. Two patients chronically implanted with electrocorticography strips over the hand portion of M1 and DBS probes in the ipsilateral ventral intermediate nucleus of the thalamus for treatment of ET were recruited for this study. Training was conducted using a translation-ready distributed training procedure, allowing a substantially higher degree of control over data collection than previous works. A linear classifier was trained using this system, biased towards activating stimulation in accordance with clinical considerations. The clinically relevant average false negative rate, defined as fraction of time during which stimulation dropped below [Formula: see text] clinical levels during movement epochs, was 0.036. Tremor suppression, calculated through analysis of gyroscope data, was 33.2% more effective on average with aDBS than with continuous DBS. During a period of free movement with aDBS, one patient reported a slight paresthesia; patients noticed no difference in treatment efficacy between systems. Here is presented the first translation-ready training procedure for a fully embedded aDBS control system for MDs and one of the first examples of such a system in ET, adding to the consensus that fully implanted aDBS systems are sufficiently mature for broader deployment in treatment of movement disorders.

Identifiants

pubmed: 33055369
doi: 10.1088/1741-2552/abb416
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't Research Support, U.S. Gov't, Non-P.H.S.

Langues

eng

Sous-ensembles de citation

IM

Pagination

056026

Auteurs

B I Ferleger (BI)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States of America.
Benjamin I Ferleger, Department of Electrical Computer Engineering, University of Washington, 185 NE Stevens Wy, Seattle, WA 98195, United States of America.

B Houston (B)

Department of Neuroscience, University of Washington, Seattle, WA, United States of America.
Now Amazon Web Services, Seattle, WA, United States of America.

M C Thompson (MC)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States of America.
Now Johns Hopkins University Applied Physics Laboratory, Laurel, MD, United States of America.

S S Cooper (SS)

Department of Neuroscience, University of Washington, Seattle, WA, United States of America.

K S Sonnet (KS)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States of America.

A L Ko (AL)

Department of Neurological Surgery, University of Washington Medical Center, Seattle, WA, United States of America.

J A Herron (JA)

Department of Neurological Surgery, University of Washington Medical Center, Seattle, WA, United States of America.

H J Chizeck (HJ)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, United States of America.

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Classifications MeSH