Literature DB >> 24262179

Deep brain stimulation: new techniques.

Marwan Hariz1.   

Abstract

The technology of the hardware used in deep brain stimulation (DBS), and the mode of delivering the stimulation have not significantly evolved since the start of the modern era of DBS 25 years ago. However, new technology is now being developed along several avenues. New features of the implantable pulse generator (IPG) allow fractionation of the electric current into variable proportions between different contacts of the multi-polar lead. Another design consists in leads that allow selective current steering from directionally placed electrode contacts that would deliver the stimulation in a specific direction or even create a directional shaped electric field that would conform to the anatomy of the brain target aimed at, avoiding adjacent structures, and thus avoiding side effects. Closed loop adaptive stimulation technologies are being developed, allowing a tracking of the pathological local field potential of the brain target, and delivering automatically the stimulation to suppress the pathological activity as soon as it is detected and for as long as needed. This feature may contribute to a DBS therapy "on demand", instead of continuously. Finally, advances in imaging technology are providing "new" brain targets, and increasingly allowing DBS to be performed accurately while avoiding the risks of microelectrode recording.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Keywords:  Deep brain stimulation; Innovations; MRI; Parkinson's disease; Stereotactic surgery; Techniques

Mesh:

Year:  2014        PMID: 24262179     DOI: 10.1016/S1353-8020(13)70045-2

Source DB:  PubMed          Journal:  Parkinsonism Relat Disord        ISSN: 1353-8020            Impact factor:   4.891


  20 in total

1.  Selective Mapping of Deep Brain Stimulation Lead Currents Using Acoustoelectric Imaging.

Authors:  Chet Preston; Willard S Kasoff; Russell S Witte
Journal:  Ultrasound Med Biol       Date:  2018-08-14       Impact factor: 2.998

2.  Using 3D-Printed Mesh-Like Brain Cortex with Deep Structures for Planning Intracranial EEG Electrode Placement.

Authors:  Ramin Javan; Maureen Schickel; Yuanlong Zhao; Terry Agbo; Cullen Fleming; Parisa Heidari; Taha Gholipour; Donald C Shields; Mohamad Koubeissi
Journal:  J Digit Imaging       Date:  2020-04       Impact factor: 4.056

3.  Motion sensor strategies for automated optimization of deep brain stimulation in Parkinson's disease.

Authors:  Christopher L Pulliam; Dustin A Heldman; Tseganesh H Orcutt; Thomas O Mera; Joseph P Giuffrida; Jerrold L Vitek
Journal:  Parkinsonism Relat Disord       Date:  2015-02-11       Impact factor: 4.891

4.  Local vs. volume conductance activity of field potentials in the human subthalamic nucleus.

Authors:  Odeya Marmor; Dan Valsky; Mati Joshua; Atira S Bick; David Arkadir; Idit Tamir; Hagai Bergman; Zvi Israel; Renana Eitan
Journal:  J Neurophysiol       Date:  2017-02-15       Impact factor: 2.714

5.  Thalamotomy-Like Effects From Partial Removal of a Ventral Intermediate Nucleus Deep Brain Stimulator Lead in a Patient With Essential Tremor: Case Report.

Authors:  John D Rolston; Alexander D Ramos; Susan Heath; Dario J Englot; Daniel A Lim
Journal:  Neurosurgery       Date:  2015-11       Impact factor: 4.654

6.  High resolution transcranial acoustoelectric imaging of current densities from a directional deep brain stimulator.

Authors:  Chet Preston; Alexander M Alvarez; Andres Barragan; Jennifer Becker; Willard S Kasoff; Russell S Witte
Journal:  J Neural Eng       Date:  2020-02-27       Impact factor: 5.379

7.  A critical reflection on the technological development of deep brain stimulation (DBS).

Authors:  Christian Ineichen; Walter Glannon; Yasin Temel; Christian R Baumann; Oguzkan Sürücü
Journal:  Front Hum Neurosci       Date:  2014-09-17       Impact factor: 3.169

8.  Analyzing 7000 texts on deep brain stimulation: what do they tell us?

Authors:  Christian Ineichen; Markus Christen
Journal:  Front Integr Neurosci       Date:  2015-10-26

9.  Computer-Guided Deep Brain Stimulation Programming for Parkinson's Disease.

Authors:  Dustin A Heldman; Christopher L Pulliam; Enrique Urrea Mendoza; Maureen Gartner; Joseph P Giuffrida; Erwin B Montgomery; Alberto J Espay; Fredy J Revilla
Journal:  Neuromodulation       Date:  2015-12-01

10.  Recovery of Dynamics and Function in Spiking Neural Networks with Closed-Loop Control.

Authors:  Ioannis Vlachos; Taşkin Deniz; Ad Aertsen; Arvind Kumar
Journal:  PLoS Comput Biol       Date:  2016-02-01       Impact factor: 4.475

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