Literature DB >> 27858575

Chronic electrocorticography for sensing movement intention and closed-loop deep brain stimulation with wearable sensors in an essential tremor patient.

Jeffrey A Herron1,2, Margaret C Thompson1,2, Timothy Brown3,2, Howard J Chizeck1,4,2, Jeffrey G Ojemann5,2, Andrew L Ko5,2.   

Abstract

Deep brain stimulation (DBS) has become a widespread and valuable treatment for patients with movement disorders such as essential tremor (ET). However, current DBS treatment constantly delivers stimulation in an open loop, which can be inefficient. Closing the loop with sensors to provide feedback may increase power efficiency and reduce side effects for patients. New implantable neuromodulation platforms, such as the Medtronic Activa PC+S DBS system, offer important data sources by providing chronic neural sensing capabilities and a means of investigating dynamic stimulation based on symptom measurements. The authors implanted in a single patient with ET an Activa PC+S system, a cortical strip of electrodes on the hand sensorimotor cortex, and therapeutic electrodes in the ventral intermediate nucleus of the thalamus. In this paper they describe the effectiveness of the platform when sensing cortical movement intentions while the patient actually performed and imagined performing movements. Additionally, they demonstrate dynamic closed-loop DBS based on several wearable sensor measurements of tremor intensity.

Entities:  

Keywords:  CLDBS = closed-loop DBS; DBS = deep brain stimulation; ECoG; ECoG = electrocorticography; EMG = electromyography; ET = essential tremor; IMU = inertial measuring unit; PD = Parkinson disease; PSD = power spectral density; TRS = Fahn-Tolosa-Marin Tremor Rating Scale; VIM = ventral intermediate nucleus of the thalamus; closed-loop systems; deep brain stimulation; essential tremor; functional neurosurgery

Mesh:

Year:  2016        PMID: 27858575     DOI: 10.3171/2016.8.JNS16536

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  42 in total

1.  High-resolution local field potentials measured with deep brain stimulation arrays.

Authors:  Simeng Zhang; Allison T Connolly; Lauren R Madden; Jerrold L Vitek; Matthew D Johnson
Journal:  J Neural Eng       Date:  2018-04-13       Impact factor: 5.379

2.  The Emerging Role of Biomarkers in Adaptive Modulation of Clinical Brain Stimulation.

Authors:  Kimberly B Hoang; Dennis A Turner
Journal:  Neurosurgery       Date:  2019-09-01       Impact factor: 4.654

3.  Ethical Considerations in Ending Exploratory Brain-Computer Interface Research Studies in Locked-in Syndrome.

Authors:  Eran Klein; Betts Peters; Matt Higger
Journal:  Camb Q Healthc Ethics       Date:  2018-10       Impact factor: 1.284

4.  A review of basal ganglia circuits and physiology: Application to deep brain stimulation.

Authors:  Robert S Eisinger; Stephanie Cernera; Aryn Gittis; Aysegul Gunduz; Michael S Okun
Journal:  Parkinsonism Relat Disord       Date:  2019-01-09       Impact factor: 4.891

Review 5.  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

Review 6.  Developing Collaborative Platforms to Advance Neurotechnology and Its Translation.

Authors:  David A Borton; Heather E Dawes; Gregory A Worrell; Philip A Starr; Timothy J Denison
Journal:  Neuron       Date:  2020-10-28       Impact factor: 17.173

7.  Reengineering deep brain stimulation for movement disorders: Emerging technologies.

Authors:  Aysegul Gunduz; Kelly D Foote; Michael S Okun
Journal:  Curr Opin Biomed Eng       Date:  2017-09-19

8.  Report of a patient undergoing chronic responsive deep brain stimulation for Tourette syndrome: proof of concept.

Authors:  Rene Molina; Michael S Okun; Jonathan B Shute; Enrico Opri; P Justin Rossi; Daniel Martinez-Ramirez; Kelly D Foote; Aysegul Gunduz
Journal:  J Neurosurg       Date:  2017-09-29       Impact factor: 5.115

Review 9.  Electrophysiological biomarkers for deep brain stimulation outcomes in movement disorders: state of the art and future challenges.

Authors:  Martina Bočková; Ivan Rektor
Journal:  J Neural Transm (Vienna)       Date:  2021-07-10       Impact factor: 3.575

Review 10.  Emerging technologies for improved deep brain stimulation.

Authors:  Hayriye Cagnan; Timothy Denison; Cameron McIntyre; Peter Brown
Journal:  Nat Biotechnol       Date:  2019-09-02       Impact factor: 54.908

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