Literature DB >> 29551756

Sensory adaptation to electrical stimulation of the somatosensory nerves.

Emily L Graczyk1, Benoit P Delhaye, Matthew A Schiefer, Sliman J Bensmaia, Dustin J Tyler.   

Abstract

OBJECTIVE: Sensory systems adapt their sensitivity to ambient stimulation levels to improve their responsiveness to changes in stimulation. The sense of touch is also subject to adaptation, as evidenced by the desensitization produced by prolonged vibratory stimulation of the skin. Electrical stimulation of nerves elicits tactile sensations that can convey feedback for bionic limbs. In this study, we investigate whether artificial touch is also subject to adaptation, despite the fact that the peripheral mechanotransducers are bypassed. APPROACH: Using well-established psychophysical paradigms, we characterize the time course and magnitude of sensory adaptation caused by extended electrical stimulation of the residual somatosensory nerves in three human amputees implanted with cuff electrodes. MAIN
RESULTS: We find that electrical stimulation of the nerve also induces perceptual adaptation that recovers after cessation of the stimulus. The time course and magnitude of electrically-induced adaptation are equivalent to their mechanically-induced counterparts. SIGNIFICANCE: We conclude that, in natural touch, the process of mechanotransduction is not required for adaptation, and artificial touch naturally experiences adaptation-induced adjustments of the dynamic range of sensations. Further, as it does for native hands, adaptation confers to bionic hands enhanced sensitivity to changes in stimulation and thus a more natural sensory experience.

Entities:  

Mesh:

Year:  2018        PMID: 29551756      PMCID: PMC6034502          DOI: 10.1088/1741-2552/aab790

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


  29 in total

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Journal:  Percept Psychophys       Date:  1991-01

2.  Electrotactile and vibrotactile displays for sensory substitution systems.

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Journal:  IEEE Trans Biomed Eng       Date:  1991-01       Impact factor: 4.538

3.  Time course and action spectrum of vibrotactile adaptation.

Authors:  M Hollins; A K Goble; B L Whitsel; M Tommerdahl
Journal:  Somatosens Mot Res       Date:  1990       Impact factor: 1.111

4.  Effect of prior stimulation on vibrotactile thresholds.

Authors:  R T Verrillo; G A Gescheider
Journal:  Sens Processes       Date:  1977-08

5.  Effects of sensory adaptation on the form of the psychophysical magnitude function for cutaneous vibration.

Authors:  G A Gescheider; J H Wright
Journal:  J Exp Psychol       Date:  1968-06

6.  The neural basis of perceived intensity in natural and artificial touch.

Authors:  Emily L Graczyk; Matthew A Schiefer; Hannes P Saal; Benoit P Delhaye; Sliman J Bensmaia; Dustin J Tyler
Journal:  Sci Transl Med       Date:  2016-10-26       Impact factor: 17.956

7.  Reconstruction of population response to a vibratory stimulus in quickly adapting mechanoreceptive afferent fiber population innervating glabrous skin of the monkey.

Authors:  K O Johnson
Journal:  J Neurophysiol       Date:  1974-01       Impact factor: 2.714

8.  Mechanical transmission in a Pacinian corpuscle. An analysis and a theory.

Authors:  W R Loewenstein; R Skalak
Journal:  J Physiol       Date:  1966-01       Impact factor: 5.182

9.  Vibrotactile adaptation and recovery measured by two methods.

Authors:  J F Hahn
Journal:  J Exp Psychol       Date:  1966-05

10.  Time-dependence of SI RA neuron response to cutaneous flutter stimulation.

Authors:  B L Whitsel; E F Kelly; M Quibrera; M Tommerdahl; Y Li; O V Favorov; M Xu; C B Metz
Journal:  Somatosens Mot Res       Date:  2003       Impact factor: 1.111

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  17 in total

1.  Object stiffness recognition using haptic feedback delivered through transcutaneous proximal nerve stimulation.

Authors:  Luis Vargas; Henry Shin; He Helen Huang; Yong Zhu; Xiaogang Hu
Journal:  J Neural Eng       Date:  2019-12-05       Impact factor: 5.379

2.  Closed-loop control of a prosthetic finger via evoked proprioceptive information.

Authors:  Luis Vargas; He Helen Huang; Yong Zhu; Xiaogang Hu
Journal:  J Neural Eng       Date:  2021-12-02       Impact factor: 5.379

Review 3.  Artificial referred sensation in upper and lower limb prosthesis users: a systematic review.

Authors:  Michael Gonzalez; Alex Bismuth; Christina Lee; Cynthia A Chestek; Deanna H Gates
Journal:  J Neural Eng       Date:  2022-09-08       Impact factor: 5.043

4.  Intracortical microstimulation pulse waveform and frequency recruits distinct spatiotemporal patterns of cortical neuron and neuropil activation.

Authors:  Kevin C Stieger; James R Eles; Kip A Ludwig; Takashi D Y Kozai
Journal:  J Neural Eng       Date:  2022-03-31       Impact factor: 5.043

5.  Evoked Haptic Sensation in the Hand With Concurrent Non-Invasive Nerve Stimulation.

Authors:  Luis Vargas; Graham Whitehouse; He Huang; Yong Zhu; Xiaogang Hu
Journal:  IEEE Trans Biomed Eng       Date:  2019-01-28       Impact factor: 4.538

6.  Comparison of linear frequency and amplitude modulation for intraneural sensory feedback in bidirectional hand prostheses.

Authors:  G Valle; F M Petrini; I Strauss; F Iberite; E D'Anna; G Granata; M Controzzi; C Cipriani; T Stieglitz; P M Rossini; A Mazzoni; S Raspopovic; S Micera
Journal:  Sci Rep       Date:  2018-11-12       Impact factor: 4.379

7.  Artificial tactile and proprioceptive feedback improves performance and confidence on object identification tasks.

Authors:  Matthew A Schiefer; Emily L Graczyk; Steven M Sidik; Daniel W Tan; Dustin J Tyler
Journal:  PLoS One       Date:  2018-12-05       Impact factor: 3.240

Review 8.  Safety of long-term electrical peripheral nerve stimulation: review of the state of the art.

Authors:  Clara Günter; Jean Delbeke; Max Ortiz-Catalan
Journal:  J Neuroeng Rehabil       Date:  2019-01-18       Impact factor: 4.262

9.  Learning of Artificial Sensation Through Long-Term Home Use of a Sensory-Enabled Prosthesis.

Authors:  Ivana Cuberovic; Anisha Gill; Linda J Resnik; Dustin J Tyler; Emily L Graczyk
Journal:  Front Neurosci       Date:  2019-08-21       Impact factor: 4.677

10.  Neurohybrid Memristive CMOS-Integrated Systems for Biosensors and Neuroprosthetics.

Authors:  Alexey Mikhaylov; Alexey Pimashkin; Yana Pigareva; Svetlana Gerasimova; Evgeny Gryaznov; Sergey Shchanikov; Anton Zuev; Max Talanov; Igor Lavrov; Vyacheslav Demin; Victor Erokhin; Sergey Lobov; Irina Mukhina; Victor Kazantsev; Huaqiang Wu; Bernardo Spagnolo
Journal:  Front Neurosci       Date:  2020-04-28       Impact factor: 4.677

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