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

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          Abstract

          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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          Most cited references36

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          Coding and use of tactile signals from the fingertips in object manipulation tasks.

          During object manipulation tasks, the brain selects and implements action-phase controllers that use sensory predictions and afferent signals to tailor motor output to the physical properties of the objects involved. Analysis of signals in tactile afferent neurons and central processes in humans reveals how contact events are encoded and used to monitor and update task performance.
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            Intracortical microstimulation of human somatosensory cortex.

            Intracortical microstimulation of the somatosensory cortex offers the potential for creating a sensory neuroprosthesis to restore tactile sensation. Whereas animal studies have suggested that both cutaneous and proprioceptive percepts can be evoked using this approach, the perceptual quality of the stimuli cannot be measured in these experiments. We show that microstimulation within the hand area of the somatosensory cortex of a person with long-term spinal cord injury evokes tactile sensations perceived as originating from locations on the hand and that cortical stimulation sites are organized according to expected somatotopic principles. Many of these percepts exhibit naturalistic characteristics (including feelings of pressure), can be evoked at low stimulation amplitudes, and remain stable for months. Further, modulating the stimulus amplitude grades the perceptual intensity of the stimuli, suggesting that intracortical microstimulation could be used to convey information about the contact location and pressure necessary to perform dexterous hand movements associated with object manipulation.
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              On the psychophysical law.

              S. Stevens (1957)
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                Author and article information

                Journal
                bioRxiv
                BIORXIV
                bioRxiv
                Cold Spring Harbor Laboratory
                12 July 2023
                : 2023.02.18.528972
                Affiliations
                [1 ]Department of Organismal Biology and Anatomy, University of Chicago, Chicago, IL
                [2 ]Rehab Neural Engineering Labs, University of Pittsburgh, Pittsburgh, PA
                [3 ]Department of Physical Medicine and Rehabilitation, University of Pittsburgh, Pittsburgh, PA
                [4 ]Committee on Computational Neuroscience, University of Chicago, Chicago, IL
                [5 ]Schwab Rehabilitation Hospital, Chicago, IL
                [6 ]Department of Neurological Surgery, University of Chicago, Chicago, IL
                [7 ]Department of Neurosurgery, University of Pittsburgh, Pittsburgh, PA
                [8 ]Department of Neuroscience, Northwestern University, Chicago, IL
                [9 ]Department of Biomedical Engineering, Northwestern University, Evanston, IL
                [10 ]Department of Physical Medicine and Rehabilitation, Northwestern University, Chicago, IL
                [11 ]Shirley Ryan Ability Lab, Chicago, IL
                [12 ]Department of Bioengineering, University of Pittsburgh, Pittsburgh, PA
                [13 ]Department of Biomedical Engineering, Carnegie Mellon University, Pittsburgh, PA
                [14 ]Neuroscience Institute, University of Chicago, Chicago, IL
                Author notes
                [¥ ] For correspondence: sliman@ 123456uchicago.edu
                Article
                10.1101/2023.02.18.528972
                9949113
                36824713
                730e18d3-b700-4817-b8cd-cac8fc3284a7

                This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, 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.

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