Literature DB >> 33845469

A comparison of insertion methods for surgical placement of penetrating neural interfaces.

Brianna Thielen1, Ellis Meng1.   

Abstract

Many implantable electrode arrays exist for the purpose of stimulating or recording electrical activity in brain, spinal, or peripheral nerve tissue, however most of these devices are constructed from materials that are mechanically rigid. A growing body of evidence suggests that the chronic presence of these rigid probes in the neural tissue causes a significant immune response and glial encapsulation of the probes, which in turn leads to gradual increase in distance between the electrodes and surrounding neurons. In recording electrodes, the consequence is the loss of signal quality and, therefore, the inability to collect electrophysiological recordings long term. In stimulation electrodes, higher current injection is required to achieve a comparable response which can lead to tissue and electrode damage. To minimize the impact of the immune response, flexible neural probes constructed with softer materials have been developed. These flexible probes, however, are often not strong enough to be inserted on their own into the tissue, and instead fail via mechanical buckling of the shank under the force of insertion. Several strategies have been developed to allow the insertion of flexible probes while minimizing tissue damage. It is critical to keep these strategies in mind during probe design in order to ensure successful surgical placement. In this review, existing insertion strategies will be presented and evaluated with respect to surgical difficulty, immune response, ability to reach the target tissue, and overall limitations of the technique. Overall, the majority of these insertion techniques have only been evaluated for the insertion of a single probe and do not quantify the accuracy of probe placement. More work needs to be performed to evaluate and optimize insertion methods for accurate placement of devices and for devices with multiple probes.
© 2021 IOP Publishing Ltd.

Entities:  

Keywords:  brain–machine interfaces; flexible microelectrode array; flexible neural probes; neural probe insertion

Mesh:

Substances:

Year:  2021        PMID: 33845469      PMCID: PMC8600966          DOI: 10.1088/1741-2552/abf6f2

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


  132 in total

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Journal:  Biomed Microdevices       Date:  2007-12       Impact factor: 2.838

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Authors:  Chunxiang Tian; Jiping He
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2005

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Authors:  Ximiao Wen; Bo Wang; Shan Huang; Tingyi Leo Liu; Meng-Shiue Lee; Pei-Shan Chung; Yu Ting Chow; I-Wen Huang; Harold G Monbouquette; Nigel T Maidment; Pei-Yu Chiou
Journal:  Biosens Bioelectron       Date:  2019-02-07       Impact factor: 10.618

Review 4.  A review for the peripheral nerve interface designer.

Authors:  Christopher E Larson; Ellis Meng
Journal:  J Neurosci Methods       Date:  2019-11-16       Impact factor: 2.390

5.  Chronic in vivo stability assessment of carbon fiber microelectrode arrays.

Authors:  Paras R Patel; Huanan Zhang; Matthew T Robbins; Justin B Nofar; Shaun P Marshall; Michael J Kobylarek; Takashi D Y Kozai; Nicholas A Kotov; Cynthia A Chestek
Journal:  J Neural Eng       Date:  2016-10-05       Impact factor: 5.379

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Authors:  Takashi D Yoshida Kozai; Daryl R Kipke
Journal:  J Neurosci Methods       Date:  2009-08-08       Impact factor: 2.390

7.  Integration of High-Charge-Injection-Capacity Electrodes onto Polymer Softening Neural Interfaces.

Authors:  David E Arreaga-Salas; Adrian Avendaño-Bolívar; Dustin Simon; Radu Reit; Aldo Garcia-Sandoval; Robert L Rennaker; Walter Voit
Journal:  ACS Appl Mater Interfaces       Date:  2015-11-25       Impact factor: 9.229

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Journal:  Biosens Bioelectron       Date:  2008-12-24       Impact factor: 10.618

9.  Chronic Implantation of Multiple Flexible Polymer Electrode Arrays.

Authors:  Jason E Chung; Hannah R Joo; Clay N Smyth; Jiang Lan Fan; Charlotte Geaghan-Breiner; Hexin Liang; Daniel Fan Liu; Demetris Roumis; Supin Chen; Kye Y Lee; Jeanine A Pebbles; Angela C Tooker; Vanessa M Tolosa; Loren M Frank
Journal:  J Vis Exp       Date:  2019-10-04       Impact factor: 1.355

10.  Sensory feedback synchronizes motor and sensory neuronal networks in the neonatal rat spinal cord.

Authors:  Ana R Inácio; Azat Nasretdinov; Julia Lebedeva; Roustem Khazipov
Journal:  Nat Commun       Date:  2016-10-07       Impact factor: 14.919

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