Literature DB >> 35016994

DyNeuMo Mk-1: Design and pilot validation of an investigational motion-adaptive neurostimulator with integrated chronotherapy.

Mayela Zamora1, Robert Toth2, Francesca Morgante3, Jon Ottaway4, Tom Gillbe4, Sean Martin5, Guy Lamb4, Tara Noone4, Moaad Benjaber6, Zachary Nairac7, Devang Sehgal7, Timothy G Constandinou8, Jeffrey Herron9, Tipu Z Aziz5, Ivor Gillbe4, Alexander L Green5, Erlick A C Pereira3, Timothy Denison10.   

Abstract

There is growing interest in using adaptive neuromodulation to provide a more personalized therapy experience that might improve patient outcomes. Current implant technology, however, can be limited in its adaptive algorithm capability. To enable exploration of adaptive algorithms with chronic implants, we designed and validated the 'Picostim DyNeuMo Mk-1' (DyNeuMo Mk-1 for short), a fully-implantable, adaptive research stimulator that titrates stimulation based on circadian rhythms (e.g. sleep, wake) and the patient's movement state (e.g. posture, activity, shock, free-fall). The design leverages off-the-shelf consumer technology that provides inertial sensing with low-power, high reliability, and relatively modest cost. The DyNeuMo Mk-1 system was designed, manufactured and verified using ISO 13485 design controls, including ISO 14971 risk management techniques to ensure patient safety, while enabling novel algorithms. The system was validated for an intended use case in movement disorders under an emergency-device authorization from the Medicines and Healthcare Products Regulatory Agency (MHRA). The algorithm configurability and expanded stimulation parameter space allows for a number of applications to be explored in both central and peripheral applications. Intended applications include adaptive stimulation for movement disorders, synchronizing stimulation with circadian patterns, and reacting to transient inertial events such as posture changes, general activity, and walking. With appropriate design controls in place, first-in-human research trials are now being prepared to explore the utility of automated motion-adaptive algorithms.
Copyright © 2022 The Authors. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Activity recognition; Adaptive control; Brain stimulation; Closed-loop systems; Neural implants; Risk management

Mesh:

Year:  2022        PMID: 35016994      PMCID: PMC7612891          DOI: 10.1016/j.expneurol.2022.113977

Source DB:  PubMed          Journal:  Exp Neurol        ISSN: 0014-4886            Impact factor:   5.620


  37 in total

1.  A wireless and artefact-free 128-channel neuromodulation device for closed-loop stimulation and recording in non-human primates.

Authors:  Andy Zhou; Samantha R Santacruz; Benjamin C Johnson; George Alexandrov; Ali Moin; Fred L Burghardt; Jan M Rabaey; Jose M Carmena; Rikky Muller
Journal:  Nat Biomed Eng       Date:  2018-12-31       Impact factor: 25.671

2.  Sensory percepts induced by microwire array and DBS microstimulation in human sensory thalamus.

Authors:  Brandon D Swan; Lynne B Gasperson; Max O Krucoff; Warren M Grill; Dennis A Turner
Journal:  Brain Stimul       Date:  2017-10-27       Impact factor: 8.955

Review 3.  Adaptive deep brain stimulation (aDBS) controlled by local field potential oscillations.

Authors:  Alberto Priori; Guglielmo Foffani; Lorenzo Rossi; Sara Marceglia
Journal:  Exp Neurol       Date:  2012-09-27       Impact factor: 5.330

4.  A Chronically Implantable Neural Coprocessor for Investigating the Treatment of Neurological Disorders.

Authors:  Scott Stanslaski; Jeffrey Herron; Tom Chouinard; Duane Bourget; Ben Isaacson; Vaclav Kremen; Enrico Opri; William Drew; Benjamin H Brinkmann; Aysegul Gunduz; Tom Adamski; Gregory A Worrell; Timothy Denison
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-11-07       Impact factor: 3.833

5.  Postoperative infection in cochlear implant patients.

Authors:  Calhoun D Cunningham; William H Slattery; William M Luxford
Journal:  Otolaryngol Head Neck Surg       Date:  2004-07       Impact factor: 3.497

6.  Adaptive deep brain stimulation for Parkinson's disease using motor cortex sensing.

Authors:  Nicole C Swann; Coralie de Hemptinne; Margaret C Thompson; Svjetlana Miocinovic; Andrew M Miller; Ro'ee Gilron; Jill L Ostrem; Howard J Chizeck; Philip A Starr
Journal:  J Neural Eng       Date:  2018-05-09       Impact factor: 5.379

7.  Physiological Artifacts and the Implications for Brain-Machine-Interface Design.

Authors:  Majid Memarian Sorkhabi; Moaad Benjaber; Peter Brown; Timothy Denison
Journal:  Conf Proc IEEE Int Conf Syst Man Cybern       Date:  2020-10

8.  Case Report: Embedding "Digital Chronotherapy" Into Medical Devices-A Canine Validation for Controlling Status Epilepticus Through Multi-Scale Rhythmic Brain Stimulation.

Authors:  Mayela Zamora; Sebastian Meller; Filip Kajin; James J Sermon; Robert Toth; Moaad Benjaber; Derk-Jan Dijk; Rafal Bogacz; Gregory A Worrell; Antonio Valentin; Benoit Duchet; Holger A Volk; Timothy Denison
Journal:  Front Neurosci       Date:  2021-09-24       Impact factor: 4.677

9.  A translational platform for prototyping closed-loop neuromodulation systems.

Authors:  Pedram Afshar; Ankit Khambhati; Scott Stanslaski; David Carlson; Randy Jensen; Dave Linde; Siddharth Dani; Maciej Lazarewicz; Peng Cong; Jon Giftakis; Paul Stypulkowski; Tim Denison
Journal:  Front Neural Circuits       Date:  2013-01-22       Impact factor: 3.492

10.  DyNeuMo Mk-2: An Investigational Circadian-Locked Neuromodulator with Responsive Stimulation for Applied Chronobiology.

Authors:  Robert Toth; Mayela Zamora; Jon Ottaway; Tom Gillbe; Sean Martin; Moaad Benjaber; Guy Lamb; Tara Noone; Barry Taylor; Alceste Deli; Vaclav Kremen; Gregory Worrell; Timothy G Constandinou; Ivor Gillbe; Stefan De Wachter; Charles Knowles; Andrew Sharott; Antonio Valentin; Alexander L Green; Timothy Denison
Journal:  Conf Proc IEEE Int Conf Syst Man Cybern       Date:  2020-12-14
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  3 in total

1.  Concurrent stimulation and sensing in bi-directional brain interfaces: a multi-site translational experience.

Authors:  Juan Ansó; Moaad Benjaber; Brandon Parks; Samuel Parker; Carina Renate Oehrn; Matthew Petrucci; Ro'ee Gilron; Simon Little; Robert Wilt; Helen Bronte-Stewart; Aysegul Gunduz; David Borton; Philip A Starr; Timothy Denison
Journal:  J Neural Eng       Date:  2022-03-31       Impact factor: 5.043

2.  Computationally efficient neural network classifiers for next generation closed loop neuromodulation therapy - a case study in epilepsy.

Authors:  Ali Kavoosi; Robert Toth; Moaad Benjaber; Mayela Zamora; Antonio Valentin; Andrew Sharott; Timothy Denison
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2022-07

Review 3.  Embedding digital chronotherapy into bioelectronic medicines.

Authors:  John E Fleming; Vaclav Kremen; Ro'ee Gilron; Nicholas M Gregg; Mayela Zamora; Derk-Jan Dijk; Philip A Starr; Gregory A Worrell; Simon Little; Timothy J Denison
Journal:  iScience       Date:  2022-03-04
  3 in total

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