Literature DB >> 25769276

Hand-in-hand advances in biomedical engineering and sensorimotor restoration.

Iolanda Pisotta1, David Perruchoud2, Silvio Ionta3.   

Abstract

BACKGROUND: Living in a multisensory world entails the continuous sensory processing of environmental information in order to enact appropriate motor routines. The interaction between our body and our brain is the crucial factor for achieving such sensorimotor integration ability. Several clinical conditions dramatically affect the constant body-brain exchange, but the latest developments in biomedical engineering provide promising solutions for overcoming this communication breakdown. NEW
METHOD: The ultimate technological developments succeeded in transforming neuronal electrical activity into computational input for robotic devices, giving birth to the era of the so-called brain-machine interfaces. Combining rehabilitation robotics and experimental neuroscience the rise of brain-machine interfaces into clinical protocols provided the technological solution for bypassing the neural disconnection and restore sensorimotor function.
RESULTS: Based on these advances, the recovery of sensorimotor functionality is progressively becoming a concrete reality. However, despite the success of several recent techniques, some open issues still need to be addressed. COMPARISON WITH EXISTING METHOD(S): Typical interventions for sensorimotor deficits include pharmaceutical treatments and manual/robotic assistance in passive movements. These procedures achieve symptoms relief but their applicability to more severe disconnection pathologies is limited (e.g. spinal cord injury or amputation).
CONCLUSIONS: Here we review how state-of-the-art solutions in biomedical engineering are continuously increasing expectances in sensorimotor rehabilitation, as well as the current challenges especially with regards to the translation of the signals from brain-machine interfaces into sensory feedback and the incorporation of brain-machine interfaces into daily activities.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Biomedical engineering; Brain; Motor; Peripheral nervous system; Rehabilitation; Sensory; Spinal cord

Mesh:

Year:  2015        PMID: 25769276     DOI: 10.1016/j.jneumeth.2015.03.003

Source DB:  PubMed          Journal:  J Neurosci Methods        ISSN: 0165-0270            Impact factor:   2.390


  8 in total

Review 1.  The Evolution of Neuroprosthetic Interfaces.

Authors:  Dayo O Adewole; Mijail D Serruya; James P Harris; Justin C Burrell; Dmitriy Petrov; H Isaac Chen; John A Wolf; D Kacy Cullen
Journal:  Crit Rev Biomed Eng       Date:  2016

2.  Differential neural encoding of sensorimotor and visual body representations.

Authors:  David Perruchoud; Lars Michels; Marco Piccirelli; Roger Gassert; Silvio Ionta
Journal:  Sci Rep       Date:  2016-11-24       Impact factor: 4.379

3.  Sharpened self-other distinction in attention deficit hyperactivity disorder.

Authors:  Rebecca Boehme; Morgan Frost Karlsson; Markus Heilig; Håkan Olausson; Andrea Johansson Capusan
Journal:  Neuroimage Clin       Date:  2020-06-16       Impact factor: 4.881

4.  Coarse-Grained Neural Network Model of the Basal Ganglia to Simulate Reinforcement Learning Tasks.

Authors:  Jarosław Drapała; Dorota Frydecka
Journal:  Brain Sci       Date:  2022-02-14

5.  Effects of Repetitive Peripheral Magnetic Stimulation through Hand Splint Materials on Induced Movement and Corticospinal Excitability in Healthy Participants.

Authors:  Akihiko Asao; Tomonori Nomura; Kenichi Shibuya
Journal:  Brain Sci       Date:  2022-02-17

Review 6.  Review of Brain-Machine Interfaces Used in Neural Prosthetics with New Perspective on Somatosensory Feedback through Method of Signal Breakdown.

Authors:  Gabriel W Vattendahl Vidal; Mathew L Rynes; Zachary Kelliher; Shikha Jain Goodwin
Journal:  Scientifica (Cairo)       Date:  2016-05-30

7.  Kernel-Based Relevance Analysis with Enhanced Interpretability for Detection of Brain Activity Patterns.

Authors:  Andres M Alvarez-Meza; Alvaro Orozco-Gutierrez; German Castellanos-Dominguez
Journal:  Front Neurosci       Date:  2017-10-06       Impact factor: 4.677

8.  Visuo-motor and interoceptive influences on peripersonal space representation following spinal cord injury.

Authors:  Michele Scandola; Salvatore Maria Aglioti; Giovanna Lazzeri; Renato Avesani; Silvio Ionta; Valentina Moro
Journal:  Sci Rep       Date:  2020-03-20       Impact factor: 4.379

  8 in total

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