A wireless millimetric magnetoelectric implant for the endovascular stimulation of peripheral nerves

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Abstract

Implantable bioelectronic devices for the simulation of peripheral nerves could be used to treat disorders that are resistant to traditional pharmacological therapies. However, for many nerve targets, this requires invasive surgeries and the implantation of bulky devices (about a few centimetres in at least one dimension). Here we report the design and in vivo proof-of-concept testing of an endovascular wireless and battery-free millimetric implant for the stimulation of specific peripheral nerves that are difficult to reach via traditional surgeries. The device can be delivered through a percutaneous catheter and leverages magnetoelectric materials to receive data and power through tissue via a digitally programmable 1 mm × 0.8 mm system-on-a-chip. Implantation of the device directly on top of the sciatic nerve in rats and near a femoral artery in pigs (with a stimulation lead introduced into a blood vessel through a catheter) allowed for wireless stimulation of the animals’ sciatic and femoral nerves. Minimally invasive magnetoelectric implants may allow for the stimulation of nerves without the need for open surgery or the implantation of battery-powered pulse generators.

Abstract

An endovascular wireless and battery-free millimetric implant enables the stimulation of peripheral nerves that are difficult to reach via traditional surgeries.

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Most cited references 65

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Multiferroic magnetoelectric composites: Historical perspective, status, and future directions

Ce-Wen Nan, M. I. Bichurin, Shuxiang Dong … (2008)

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Response of brain tissue to chronically implanted neural electrodes.

Vadim S Polikov, Patrick Tresco, William Reichert (2005)

Chronically implanted recording electrode arrays linked to prosthetics have the potential to make positive impacts on patients suffering from full or partial paralysis. Such arrays are implanted into the patient's cortical tissue and record extracellular potentials from nearby neurons, allowing the information encoded by the neuronal discharges to control external devices. While such systems perform well during acute recordings, they often fail to function reliably in clinically relevant chronic settings. Available evidence suggests that a major failure mode of electrode arrays is the brain tissue reaction against these implants, making the biocompatibility of implanted electrodes a primary concern in device design. This review presents the biological components and time course of the acute and chronic tissue reaction in brain tissue, analyses the brain tissue response of current electrode systems, and comments on the various material science and bioactive strategies undertaken by electrode designers to enhance electrode performance.

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Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

Leigh Hochberg, Daniel Bacher, Beata Jarosiewicz … (2012)

Paralysis following spinal cord injury (SCI), brainstem stroke, amyotrophic lateral sclerosis (ALS) and other disorders can disconnect the brain from the body, eliminating the ability to carry out volitional movements. A neural interface system (NIS) 1–5 could restore mobility and independence for people with paralysis by translating neuronal activity directly into control signals for assistive devices. We have previously shown that people with longstanding tetraplegia can use an NIS to move and click a computer cursor and to control physical devices 6–8 . Able-bodied monkeys have used an NIS to control a robotic arm 9 , but it is unknown whether people with profound upper extremity paralysis or limb loss could use cortical neuronal ensemble signals to direct useful arm actions. Here, we demonstrate the ability of two people with long-standing tetraplegia to use NIS-based control of a robotic arm to perform three-dimensional reach and grasp movements. Participants controlled the arm over a broad space without explicit training, using signals decoded from a small, local population of motor cortex (MI) neurons recorded from a 96-channel microelectrode array. One of the study participants, implanted with the sensor five years earlier, also used a robotic arm to drink coffee from a bottle. While robotic reach and grasp actions were not as fast or accurate as those of an able-bodied person, our results demonstrate the feasibility for people with tetraplegia, years after CNS injury, to recreate useful multidimensional control of complex devices directly from a small sample of neural signals.

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Author and article information

Contributors

Sunil A. Sheth:

ORCID: http://orcid.org/0000-0003-0602-8509

sunil.a.sheth@uth.tmc.edu

Kaiyuan Yang:

ORCID: http://orcid.org/0000-0001-7220-9389

kyang@rice.edu

Jacob T. Robinson:

ORCID: http://orcid.org/0000-0002-3509-3054

jtrobinson@rice.edu

Journal

Journal ID (nlm-ta): Nat Biomed Eng

Journal ID (iso-abbrev): Nat Biomed Eng

Title: Nature Biomedical Engineering

Publisher: Nature Publishing Group UK (London )

ISSN (Electronic): 2157-846X

Publication date (Electronic): 31 March 2022

Publication date PMC-release: 31 March 2022

Publication date (Print): 2022

Volume: 6

Issue: 6

Pages: 706-716

Affiliations

[1 ]GRID grid.21940.3e, ISNI 0000 0004 1936 8278, Department of Bioengineering, , Rice University, ; Houston, TX USA

[2 ]GRID grid.176731.5, ISNI 0000 0001 1547 9964, Department of Neurosurgery, , University of Texas Medical Branch, 301 University Blvd, ; Galveston, TX USA

[3 ]GRID grid.21940.3e, ISNI 0000 0004 1936 8278, Department of Electrical and Computer Engineering, , Rice University, ; Houston, TX USA

[4 ]GRID grid.21940.3e, ISNI 0000 0004 1936 8278, Applied Physics Program, , Rice University, ; Houston, TX USA

[5 ]Neuromonitoring Associates, LLC, Las Vegas, NV USA

[6 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Department of Electrical and Computer Engineering, , Duke University, ; Durham, NC USA

[7 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Department of Psychiatry and Behavior Sciences, School of Medicine, , Duke University, ; Durham, NC USA

[8 ]GRID grid.176731.5, ISNI 0000 0001 1547 9964, Department of Pathology, , University of Texas Medical Branch, 301 University Blvd, ; Galveston, TX USA

[9 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Department of Neurosurgery, School of Medicine, , Duke University, ; Durham, NC USA

[10 ]GRID grid.26009.3d, ISNI 0000 0004 1936 7961, Department of Biomedical Engineering, , Duke University, ; Durham, NC USA

[11 ]GRID grid.5335.0, ISNI 0000000121885934, Department of Engineering, , University of Cambridge, ; Cambridge, UK

[12 ]GRID grid.21940.3e, ISNI 0000 0004 1936 8278, Department of Chemistry, , Rice University, ; Houston, TX USA

[13 ]Department of Neurology, UTHealth McGovern Medical School, Houston, TX USA

[14 ]GRID grid.39382.33, ISNI 0000 0001 2160 926X, Department of Neuroscience, , Baylor College of Medicine, ; Houston, TX USA

Author information

Fatima Alrashdan http://orcid.org/0000-0001-7605-1056

Roberto Garcia http://orcid.org/0000-0001-8907-9867

Boshuo Wang http://orcid.org/0000-0003-1680-5957

Angel V. Peterchev http://orcid.org/0000-0002-4385-065X

Stefan M. Goetz http://orcid.org/0000-0002-1944-0714

Jeffrey D. Hartgerink http://orcid.org/0000-0002-3186-5395

Sunil A. Sheth http://orcid.org/0000-0003-0602-8509

Kaiyuan Yang http://orcid.org/0000-0001-7220-9389

Jacob T. Robinson http://orcid.org/0000-0002-3509-3054

Article

Publisher ID: 873

DOI: 10.1038/s41551-022-00873-7

PMC ID: 9213237

PubMed ID: 35361934

SO-VID: ba7d142d-5b64-4341-8165-f43f4e36ade2

License:

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.

History

Date received : 6 July 2021

Date accepted : 15 February 2022

Funding

Funded by: NIH U18EB029353, NSF GRFP

Funded by: NIH U18EB029353

Funded by: NIH R01DE021798, NSF GRFP

Funded by: NIH R01DE021798

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Keywords: biomedical engineering,peripheral nervous system,neurological disorders,electrical and electronic engineering,neuro-vascular interactions

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Keywords: biomedical engineering, peripheral nervous system, neurological disorders, electrical and electronic engineering, neuro-vascular interactions

A wireless millimetric magnetoelectric implant for the endovascular stimulation of peripheral nerves

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Most cited references 65

Multiferroic magnetoelectric composites: Historical perspective, status, and future directions

Response of brain tissue to chronically implanted neural electrodes.

Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

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