Literature DB >> 34015518

Generating artificial sensations with spinal cord stimulation in primates and rodents.

Amol P Yadav1, Shuangyan Li2, Max O Krucoff3, Mikhail A Lebedev4, Muhammad M Abd-El-Barr5, Miguel A L Nicolelis6.   

Abstract

For patients who have lost sensory function due to a neurological injury such as spinal cord injury (SCI), stroke, or amputation, spinal cord stimulation (SCS) may provide a mechanism for restoring somatic sensations via an intuitive, non-visual pathway. Inspired by this vision, here we trained rhesus monkeys and rats to detect and discriminate patterns of epidural SCS. Thereafter, we constructed psychometric curves describing the relationship between different SCS parameters and the animal's ability to detect SCS and/or changes in its characteristics. We found that the stimulus detection threshold decreased with higher frequency, longer pulse-width, and increasing duration of SCS. Moreover, we found that monkeys were able to discriminate temporally- and spatially-varying patterns (i.e. variations in frequency and location) of SCS delivered through multiple electrodes. Additionally, sensory discrimination of SCS-induced sensations in rats obeyed Weber's law of just-noticeable differences. These findings suggest that by varying SCS intensity, temporal pattern, and location different sensory experiences can be evoked. As such, we posit that SCS can provide intuitive sensory feedback in neuroprosthetic devices.
Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Artificial sensory feedback; Neuroprosthetics; Non-human primates; Somatosensation; Spinal cord stimulation

Mesh:

Year:  2021        PMID: 34015518      PMCID: PMC8316418          DOI: 10.1016/j.brs.2021.04.024

Source DB:  PubMed          Journal:  Brain Stimul        ISSN: 1876-4754            Impact factor:   9.184


  31 in total

1.  Sensing without touching: psychophysical performance based on cortical microstimulation.

Authors:  R Romo; A Hernández; A Zainos; C D Brody; L Lemus
Journal:  Neuron       Date:  2000-04       Impact factor: 17.173

2.  A Robust Encoding Scheme for Delivering Artificial Sensory Information via Direct Brain Stimulation.

Authors:  David A Bjanes; Chet T Moritz
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2019-08-21       Impact factor: 3.802

3.  Creating a neuroprosthesis for active tactile exploration of textures.

Authors:  Joseph E O'Doherty; Solaiman Shokur; Leonel E Medina; Mikhail A Lebedev; Miguel A L Nicolelis
Journal:  Proc Natl Acad Sci U S A       Date:  2019-10-07       Impact factor: 11.205

4.  Spinal geometry and paresthesia coverage in spinal cord stimulation.

Authors:  J Holsheimef; G Barolat
Journal:  Neuromodulation       Date:  1998-07

5.  Patient-interactive, microprocessor-controlled neurological stimulation system.

Authors:  R B North; J M Sieracki; K R Fowler; B Alvarez; P N Cutchis
Journal:  Neuromodulation       Date:  1998-10

6.  A learning-based approach to artificial sensory feedback leads to optimal integration.

Authors:  Maria C Dadarlat; Joseph E O'Doherty; Philip N Sabes
Journal:  Nat Neurosci       Date:  2014-11-24       Impact factor: 24.884

7.  A Closed Loop Brain-machine Interface for Epilepsy Control Using Dorsal Column Electrical Stimulation.

Authors:  Miguel Pais-Vieira; Amol P Yadav; Derek Moreira; David Guggenmos; Amílcar Santos; Mikhail Lebedev; Miguel A L Nicolelis
Journal:  Sci Rep       Date:  2016-09-08       Impact factor: 4.379

8.  The frequency of cortical microstimulation shapes artificial touch.

Authors:  Thierri Callier; Nathan W Brantly; Attilio Caravelli; Sliman J Bensmaia
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-26       Impact factor: 11.205

9.  Sensory feedback restoration in leg amputees improves walking speed, metabolic cost and phantom pain.

Authors:  Francesco Maria Petrini; Marko Bumbasirevic; Giacomo Valle; Vladimir Ilic; Pavle Mijović; Paul Čvančara; Federica Barberi; Natalija Katic; Dario Bortolotti; David Andreu; Knut Lechler; Aleksandar Lesic; Sanja Mazic; Bogdan Mijović; David Guiraud; Thomas Stieglitz; Asgeir Alexandersson; Silvestro Micera; Stanisa Raspopovic
Journal:  Nat Med       Date:  2019-09-09       Impact factor: 53.440

10.  Building an organic computing device with multiple interconnected brains.

Authors:  Miguel Pais-Vieira; Gabriela Chiuffa; Mikhail Lebedev; Amol Yadav; Miguel A L Nicolelis
Journal:  Sci Rep       Date:  2015-07-09       Impact factor: 4.379

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  3 in total

1.  Imaging the stability of chronic electrical microstimulation using electrodes coated with PEDOT/CNT and iridium oxide.

Authors:  Xin Sally Zheng; Qianru Yang; Alberto Vazquez; Xinyan Tracy Cui
Journal:  iScience       Date:  2022-06-06

Review 2.  Somesthetic, Visual, and Auditory Feedback and Their Interactions Applied to Upper Limb Neurorehabilitation Technology: A Narrative Review to Facilitate Contextualization of Knowledge.

Authors:  Camille E Proulx; Manouchka T Louis Jean; Johanne Higgins; Dany H Gagnon; Numa Dancause
Journal:  Front Rehabil Sci       Date:  2022-03-01

3.  Optoception: Perception of Optogenetic Brain Perturbations.

Authors:  Jorge Luis-Islas; Monica Luna; Benjamin Floran; Ranier Gutierrez
Journal:  eNeuro       Date:  2022-06-28
  3 in total

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