Literature DB >> 27797958

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

Emily L Graczyk1, Matthew A Schiefer2, Hannes P Saal3, Benoit P Delhaye3, Sliman J Bensmaia3, Dustin J Tyler4,2.   

Abstract

Electrical stimulation of sensory nerves is a powerful tool for studying neural coding because it can activate neural populations in ways that natural stimulation cannot. Electrical stimulation of the nerve has also been used to restore sensation to patients who have suffered the loss of a limb. We have used long-term implanted electrical interfaces to elucidate the neural basis of perceived intensity in the sense of touch. To this end, we assessed the sensory correlates of neural firing rate and neuronal population recruitment independently by varying two parameters of nerve stimulation: pulse frequency and pulse width. Specifically, two amputees, chronically implanted with peripheral nerve electrodes, performed each of three psychophysical tasks-intensity discrimination, magnitude scaling, and intensity matching-in response to electrical stimulation of their somatosensory nerves. We found that stimulation pulse width and pulse frequency had systematic, cooperative effects on perceived tactile intensity and that the artificial tactile sensations could be reliably matched to skin indentations on the intact limb. We identified a quantity we termed the activation charge rate (ACR), derived from stimulation parameters, that predicted the magnitude of artificial tactile percepts across all testing conditions. On the basis of principles of nerve fiber recruitment, the ACR represents the total population spike count in the activated neural population. Our findings support the hypothesis that population spike count drives the magnitude of tactile percepts and indicate that sensory magnitude can be manipulated systematically by varying a single stimulation quantity.
Copyright © 2016, American Association for the Advancement of Science.

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Mesh:

Year:  2016        PMID: 27797958      PMCID: PMC5713478          DOI: 10.1126/scitranslmed.aaf5187

Source DB:  PubMed          Journal:  Sci Transl Med        ISSN: 1946-6234            Impact factor:   17.956


  48 in total

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Journal:  IEEE Trans Biomed Eng       Date:  1983-07       Impact factor: 4.538

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Authors:  Katharine H Polasek; Harry A Hoyen; Michael W Keith; Dustin J Tyler
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2007-03       Impact factor: 3.802

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Journal:  J Neurosci       Date:  1983-08       Impact factor: 6.167

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  53 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.  Rapid geometric feature signaling in the simulated spiking activity of a complete population of tactile nerve fibers.

Authors:  Benoit P Delhaye; Xinyue Xia; Sliman J Bensmaia
Journal:  J Neurophysiol       Date:  2019-04-03       Impact factor: 2.714

3.  A novel flexible cuff-like microelectrode for dual purpose, acute and chronic electrical interfacing with the mouse cervical vagus nerve.

Authors:  A S Caravaca; T Tsaava; L Goldman; H Silverman; G Riggott; S S Chavan; C Bouton; K J Tracey; R Desimone; E S Boyden; H S Sohal; P S Olofsson
Journal:  J Neural Eng       Date:  2017-12       Impact factor: 5.379

4.  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

5.  The design of and chronic tissue response to a composite nerve electrode with patterned stiffness.

Authors:  M J Freeberg; M A Stone; R J Triolo; D J Tyler
Journal:  J Neural Eng       Date:  2017-03-13       Impact factor: 5.379

6.  Prosthesis with neuromorphic multilayered e-dermis perceives touch and pain.

Authors:  Luke E Osborn; Andrei Dragomir; Joseph L Betthauser; Christopher L Hunt; Harrison H Nguyen; Rahul R Kaliki; Nitish V Thakor
Journal:  Sci Robot       Date:  2018-06-20

7.  Sensory adaptation to electrical stimulation of the somatosensory nerves.

Authors:  Emily L Graczyk; Benoit P Delhaye; Matthew A Schiefer; Sliman J Bensmaia; Dustin J Tyler
Journal:  J Neural Eng       Date:  2018-03-19       Impact factor: 5.379

8.  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

9.  Biomimetic encoding model for restoring touch in bionic hands through a nerve interface.

Authors:  Elizaveta V Okorokova; Qinpu He; Sliman J Bensmaia
Journal:  J Neural Eng       Date:  2018-09-24       Impact factor: 5.379

10.  A brain-computer interface that evokes tactile sensations improves robotic arm control.

Authors:  Jennifer L Collinger; Robert A Gaunt; Sharlene N Flesher; John E Downey; Jeffrey M Weiss; Christopher L Hughes; Angelica J Herrera; Elizabeth C Tyler-Kabara; Michael L Boninger
Journal:  Science       Date:  2021-05-21       Impact factor: 47.728

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