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Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands

Manual interactions with objects are supported by tactile signals from the hand. This tactile feedback can be restored in brain-controlled bionic hands via intracortical microstimulation (ICMS) of somatosensory cortex (S1). In ICMS-based tactile feedback, contact force can be signaled by modulating...

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Autores principales: Greenspon, Charles M., Valle, Giacomo, Hobbs, Taylor G., Verbaarschot, Ceci, Callier, Thierri, Okorokova, Elizaveta V., Shelchkova, Natalya D., Sobinov, Anton R., Jordan, Patrick M., Weiss, Jeffrey M., Fitzgerald, Emily E., Prasad, Dillan, van Driesche, Ashley, Lee, Ray C., Satzer, David, Gonzalez-Martinez, Jorge, Warnke, Peter C., Miller, Lee E., Boninger, Michael L., Collinger, Jennifer L., Gaunt, Robert A., Downey, John E., Hatsopoulos, Nicholas G., Bensmaia, Sliman J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949113/
https://www.ncbi.nlm.nih.gov/pubmed/36824713
http://dx.doi.org/10.1101/2023.02.18.528972
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author Greenspon, Charles M.
Valle, Giacomo
Hobbs, Taylor G.
Verbaarschot, Ceci
Callier, Thierri
Okorokova, Elizaveta V.
Shelchkova, Natalya D.
Sobinov, Anton R.
Jordan, Patrick M.
Weiss, Jeffrey M.
Fitzgerald, Emily E.
Prasad, Dillan
van Driesche, Ashley
Lee, Ray C.
Satzer, David
Gonzalez-Martinez, Jorge
Warnke, Peter C.
Miller, Lee E.
Boninger, Michael L.
Collinger, Jennifer L.
Gaunt, Robert A.
Downey, John E.
Hatsopoulos, Nicholas G.
Bensmaia, Sliman J.
author_facet Greenspon, Charles M.
Valle, Giacomo
Hobbs, Taylor G.
Verbaarschot, Ceci
Callier, Thierri
Okorokova, Elizaveta V.
Shelchkova, Natalya D.
Sobinov, Anton R.
Jordan, Patrick M.
Weiss, Jeffrey M.
Fitzgerald, Emily E.
Prasad, Dillan
van Driesche, Ashley
Lee, Ray C.
Satzer, David
Gonzalez-Martinez, Jorge
Warnke, Peter C.
Miller, Lee E.
Boninger, Michael L.
Collinger, Jennifer L.
Gaunt, Robert A.
Downey, John E.
Hatsopoulos, Nicholas G.
Bensmaia, Sliman J.
author_sort Greenspon, Charles M.
collection PubMed
description Manual interactions with objects are supported by tactile signals from the hand. This tactile feedback can be restored in brain-controlled bionic hands via intracortical microstimulation (ICMS) of somatosensory cortex (S1). In ICMS-based tactile feedback, contact force can be signaled by modulating the stimulation intensity based on the output of force sensors on the bionic hand, which in turn modulates the perceived magnitude of the sensation. In the present study, we gauged the dynamic range and precision of ICMS-based force feedback in three human participants implanted with arrays of microelectrodes in S1. To this end, we measured the increases in sensation magnitude resulting from increases in ICMS amplitude and participant’s ability to distinguish between different intensity levels. We then assessed whether we could improve the fidelity of this feedback by implementing “biomimetic” ICMS-trains, designed to evoke patterns of neuronal activity that more closely mimic those in natural touch, and by delivering ICMS through multiple channels at once. We found that multi-channel biomimetic ICMS gives rise to stronger and more distinguishable sensations than does its single-channel counterpart. Finally, we implemented biomimetic multi-channel feedback in a bionic hand and had the participant perform a compliance discrimination task. We found that biomimetic multi-channel tactile feedback yielded improved discrimination over its single-channel linear counterpart. We conclude that multi-channel biomimetic ICMS conveys finely graded force feedback that more closely approximates the sensitivity conferred by natural touch.
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spelling pubmed-99491132023-02-24 Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands Greenspon, Charles M. Valle, Giacomo Hobbs, Taylor G. Verbaarschot, Ceci Callier, Thierri Okorokova, Elizaveta V. Shelchkova, Natalya D. Sobinov, Anton R. Jordan, Patrick M. Weiss, Jeffrey M. Fitzgerald, Emily E. Prasad, Dillan van Driesche, Ashley Lee, Ray C. Satzer, David Gonzalez-Martinez, Jorge Warnke, Peter C. Miller, Lee E. Boninger, Michael L. Collinger, Jennifer L. Gaunt, Robert A. Downey, John E. Hatsopoulos, Nicholas G. Bensmaia, Sliman J. bioRxiv Article Manual interactions with objects are supported by tactile signals from the hand. This tactile feedback can be restored in brain-controlled bionic hands via intracortical microstimulation (ICMS) of somatosensory cortex (S1). In ICMS-based tactile feedback, contact force can be signaled by modulating the stimulation intensity based on the output of force sensors on the bionic hand, which in turn modulates the perceived magnitude of the sensation. In the present study, we gauged the dynamic range and precision of ICMS-based force feedback in three human participants implanted with arrays of microelectrodes in S1. To this end, we measured the increases in sensation magnitude resulting from increases in ICMS amplitude and participant’s ability to distinguish between different intensity levels. We then assessed whether we could improve the fidelity of this feedback by implementing “biomimetic” ICMS-trains, designed to evoke patterns of neuronal activity that more closely mimic those in natural touch, and by delivering ICMS through multiple channels at once. We found that multi-channel biomimetic ICMS gives rise to stronger and more distinguishable sensations than does its single-channel counterpart. Finally, we implemented biomimetic multi-channel feedback in a bionic hand and had the participant perform a compliance discrimination task. We found that biomimetic multi-channel tactile feedback yielded improved discrimination over its single-channel linear counterpart. We conclude that multi-channel biomimetic ICMS conveys finely graded force feedback that more closely approximates the sensitivity conferred by natural touch. Cold Spring Harbor Laboratory 2023-07-12 /pmc/articles/PMC9949113/ /pubmed/36824713 http://dx.doi.org/10.1101/2023.02.18.528972 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Greenspon, Charles M.
Valle, Giacomo
Hobbs, Taylor G.
Verbaarschot, Ceci
Callier, Thierri
Okorokova, Elizaveta V.
Shelchkova, Natalya D.
Sobinov, Anton R.
Jordan, Patrick M.
Weiss, Jeffrey M.
Fitzgerald, Emily E.
Prasad, Dillan
van Driesche, Ashley
Lee, Ray C.
Satzer, David
Gonzalez-Martinez, Jorge
Warnke, Peter C.
Miller, Lee E.
Boninger, Michael L.
Collinger, Jennifer L.
Gaunt, Robert A.
Downey, John E.
Hatsopoulos, Nicholas G.
Bensmaia, Sliman J.
Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands
title Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands
title_full Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands
title_fullStr Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands
title_full_unstemmed Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands
title_short Biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands
title_sort biomimetic multi-channel microstimulation of somatosensory cortex conveys high resolution force feedback for bionic hands
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9949113/
https://www.ncbi.nlm.nih.gov/pubmed/36824713
http://dx.doi.org/10.1101/2023.02.18.528972
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