Literature DB >> 35257195

Alpha-band activity in parietofrontal cortex predicts future availability of vibrotactile feedback in prosthesis use.

John T Johnson1, Daniele de Mari1, Harper Doherty1, Frank L Hammond1, Lewis A Wheaton2.   

Abstract

Prosthesis disuse and abandonment is an ongoing issue in upper-limb amputation. In addition to lost structural and motor function, amputation also results in decreased task-specific sensory information. One proposed remedy is augmenting somatosensory information using vibrotactile feedback to provide tactile feedback of grasping objects. While the role of frontal and parietal areas in motor tasks is well established, the neural and kinematic effects of this augmented vibrotactile feedback remain in question. In this study, we sought to understand the neurobehavioral effects of providing augmented feedback during a reach-grasp-transport task. Ten persons with sound limbs performed a motor task while wearing a prosthesis simulator with and without vibrotactile feedback. We hypothesized that providing vibrotactile feedback during prosthesis use would increase activity in frontal and parietal areas and improve grasp-related behavior. Results show that anticipation of upcoming vibrotactile feedback may be encoded in motor and parietal areas during the reach-to-grasp phase of the task. While grasp aperture is unaffected by vibrotactile feedback, the availability of vibrotactile feedback does lead to a reduction in velocity during object transport. These results help shed light on how engineered feedback is utilized by prostheses users and provide methodologies for further assessment in advanced prosthetics research.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Motor control; Prosthesis; Somatosensation; Vibrotactile feedback

Mesh:

Year:  2022        PMID: 35257195     DOI: 10.1007/s00221-022-06340-8

Source DB:  PubMed          Journal:  Exp Brain Res        ISSN: 0014-4819            Impact factor:   1.972


  43 in total

1.  The cerebellum is involved in predicting the sensory consequences of action.

Authors:  S J Blakemore; C D Frith; D M Wolpert
Journal:  Neuroreport       Date:  2001-07-03       Impact factor: 1.837

2.  Non-Invasive, Temporally Discrete Feedback of Object Contact and Release Improves Grasp Control of Closed-Loop Myoelectric Transradial Prostheses.

Authors:  Francesco Clemente; Marco D'Alonzo; Marco Controzzi; Benoni B Edin; Christian Cipriani
Journal:  IEEE Trans Neural Syst Rehabil Eng       Date:  2015-11-13       Impact factor: 3.802

Review 3.  Upper limb prosthesis use and abandonment: a survey of the last 25 years.

Authors:  Elaine A Biddiss; Tom T Chau
Journal:  Prosthet Orthot Int       Date:  2007-09       Impact factor: 1.895

4.  Upper-limb prosthetics: critical factors in device abandonment.

Authors:  Elaine Biddiss; Tom Chau
Journal:  Am J Phys Med Rehabil       Date:  2007-12       Impact factor: 2.159

Review 5.  Sensory feedback in upper limb prosthetics.

Authors:  Christian Antfolk; Marco D'Alonzo; Birgitta Rosén; Göran Lundborg; Fredrik Sebelius; Christian Cipriani
Journal:  Expert Rev Med Devices       Date:  2013-01       Impact factor: 3.166

6.  Determining skill level in myoelectric prosthesis use with multiple outcome measures.

Authors:  Hanneke Bouwsema; Peter J Kyberd; Wendy Hill; Corry K van der Sluis; Raoul M Bongers
Journal:  J Rehabil Res Dev       Date:  2012

7.  Coordination between the transport and the grasp components during prehension movements.

Authors:  S Chieffi; M Gentilucci
Journal:  Exp Brain Res       Date:  1993       Impact factor: 1.972

8.  Prosthetic rehabilitation in traumatic upper limb amputees (an Indian perspective).

Authors:  Kumar Bhaskaranand; Anil K Bhat; K Narayana Acharya
Journal:  Arch Orthop Trauma Surg       Date:  2003-06-25       Impact factor: 3.067

Review 9.  Literature Review on Needs of Upper Limb Prosthesis Users.

Authors:  Francesca Cordella; Anna Lisa Ciancio; Rinaldo Sacchetti; Angelo Davalli; Andrea Giovanni Cutti; Eugenio Guglielmelli; Loredana Zollo
Journal:  Front Neurosci       Date:  2016-05-12       Impact factor: 4.677

10.  Somatosensory alpha oscillations gate perceptual learning efficiency.

Authors:  Marion Brickwedde; Marie C Krüger; Hubert R Dinse
Journal:  Nat Commun       Date:  2019-01-16       Impact factor: 14.919

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  1 in total

1.  Toward improving control performance of myoelectric arm prosthesis by adding wrist position feedback.

Authors:  Yue Zheng; Lan Tian; Xiangxin Li; Yingxiao Tan; Zijian Yang; Guanglin Li
Journal:  Front Hum Neurosci       Date:  2022-07-19       Impact factor: 3.473

  1 in total

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