Literature DB >> 31591224

Creating a neuroprosthesis for active tactile exploration of textures.

Joseph E O'Doherty1, Solaiman Shokur2,3, Leonel E Medina1, Mikhail A Lebedev4,5,6,7, Miguel A L Nicolelis8,4,5,9,10,11,12.   

Abstract

Intracortical microstimulation (ICMS) of the primary somatosensory cortex (S1) can produce percepts that mimic somatic sensation and, thus, has potential as an approach to sensorize prosthetic limbs. However, it is not known whether ICMS could recreate active texture exploration-the ability to infer information about object texture by using one's fingertips to scan a surface. Here, we show that ICMS of S1 can convey information about the spatial frequencies of invisible virtual gratings through a process of active tactile exploration. Two rhesus monkeys scanned pairs of visually identical screen objects with the fingertip of a hand avatar-controlled first via a joystick and later via a brain-machine interface-to find the object with denser virtual gratings. The gratings consisted of evenly spaced ridges that were signaled through individual ICMS pulses generated whenever the avatar's fingertip crossed a ridge. The monkeys learned to interpret these ICMS patterns, evoked by the interplay of their voluntary movements and the virtual textures of each object, to perform a sensory discrimination task. Discrimination accuracy followed Weber's law of just-noticeable differences (JND) across a range of grating densities; a finding that matches normal cutaneous sensation. Moreover, 1 monkey developed an active scanning strategy where avatar velocity was integrated with the ICMS pulses to interpret the texture information. We propose that this approach could equip upper-limb neuroprostheses with direct access to texture features acquired during active exploration of natural objects.

Entities:  

Keywords:  brain–machine interface; neuroprosthetics; sensory feedback

Year:  2019        PMID: 31591224      PMCID: PMC6815176          DOI: 10.1073/pnas.1908008116

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  37 in total

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2.  The neural basis of the Weber-Fechner law: a logarithmic mental number line.

Authors:  Stanislas Dehaene
Journal:  Trends Cogn Sci       Date:  2003-04       Impact factor: 20.229

3.  Estimating the difference limen in 2AFC tasks: pitfalls and improved estimators.

Authors:  Rolf Ulrich; Dirk Vorberg
Journal:  Atten Percept Psychophys       Date:  2009-08       Impact factor: 2.199

4.  Perceived intensity of somatosensory cortical electrical stimulation.

Authors:  Gene Y Fridman; Hugh T Blair; Aaron P Blaisdell; Jack W Judy
Journal:  Exp Brain Res       Date:  2010-05-04       Impact factor: 1.972

5.  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

6.  Modulation of grip force with load force during point-to-point arm movements.

Authors:  J R Flanagan; A M Wing
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

7.  Ownership of an artificial limb induced by electrical brain stimulation.

Authors:  Kelly L Collins; Arvid Guterstam; Jeneva Cronin; Jared D Olson; H Henrik Ehrsson; Jeffrey G Ojemann
Journal:  Proc Natl Acad Sci U S A       Date:  2016-12-19       Impact factor: 11.205

Review 8.  Corollary discharge across the animal kingdom.

Authors:  Trinity B Crapse; Marc A Sommer
Journal:  Nat Rev Neurosci       Date:  2008-08       Impact factor: 34.870

9.  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

10.  Multisensory bionic limb to achieve prosthesis embodiment and reduce distorted phantom limb perceptions.

Authors:  Giulio Rognini; Francesco Maria Petrini; Stanisa Raspopovic; Andrea Serino; Silvestro Micera; Olaf Blanke; Giacomo Valle; Giuseppe Granata; Ivo Strauss; Marco Solcà; Javier Bello-Ruiz; Bruno Herbelin; Robin Mange; Edoardo D'Anna; Riccardo Di Iorio; Giovanni Di Pino; David Andreu; David Guiraud; Thomas Stieglitz; Paolo Maria Rossini
Journal:  J Neurol Neurosurg Psychiatry       Date:  2018-08-12       Impact factor: 10.154

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  8 in total

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Journal:  Neuroscientist       Date:  2020-07-10       Impact factor: 7.519

2.  Intracortical Somatosensory Stimulation to Elicit Fingertip Sensations in an Individual With Spinal Cord Injury.

Authors:  Matthew S Fifer; David P McMullen; Luke E Osborn; Tessy M Thomas; Breanne Christie; Robert W Nickl; Daniel N Candrea; Eric A Pohlmeyer; Margaret C Thompson; Manuel A Anaya; Wouter Schellekens; Nick F Ramsey; Sliman J Bensmaia; William S Anderson; Brock A Wester; Nathan E Crone; Pablo A Celnik; Gabriela L Cantarero; Francesco V Tenore
Journal:  Neurology       Date:  2021-12-08       Impact factor: 9.910

3.  Object Shape and Surface Topology Recognition Using Tactile Feedback Evoked through Transcutaneous Nerve Stimulation.

Authors:  Luis Vargas; He Huang; Yong Zhu; Xiaogang Hu
Journal:  IEEE Trans Haptics       Date:  2020-01-16       Impact factor: 2.487

4.  Sputtered ruthenium oxide coatings for neural stimulation and recording electrodes.

Authors:  Bitan Chakraborty; Alexandra Joshi-Imre; Jimin Maeng; Stuart F Cogan
Journal:  J Biomed Mater Res B Appl Biomater       Date:  2020-09-17       Impact factor: 3.368

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

Authors:  Amol P Yadav; Shuangyan Li; Max O Krucoff; Mikhail A Lebedev; Muhammad M Abd-El-Barr; Miguel A L Nicolelis
Journal:  Brain Stimul       Date:  2021-05-18       Impact factor: 9.184

6.  Reducing Behavioral Detection Thresholds per Electrode via Synchronous, Spatially-Dependent Intracortical Microstimulation.

Authors:  Nicolas G Kunigk; Morgan E Urdaneta; Ian G Malone; Francisco Delgado; Kevin J Otto
Journal:  Front Neurosci       Date:  2022-06-17       Impact factor: 5.152

7.  Brain-machine-brain interfaces as the foundation for the next generation of neuroprostheses.

Authors:  Miguel A L Nicolelis
Journal:  Natl Sci Rev       Date:  2021-11-24       Impact factor: 23.178

Review 8.  Strategies and prospects of effective neural circuits reconstruction after spinal cord injury.

Authors:  Biao Yang; Feng Zhang; Feng Cheng; Liwei Ying; Chenggui Wang; Kesi Shi; Jingkai Wang; Kaishun Xia; Zhe Gong; Xianpeng Huang; Cao Yu; Fangcai Li; Chengzhen Liang; Qixin Chen
Journal:  Cell Death Dis       Date:  2020-06-08       Impact factor: 8.469

  8 in total

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