Literature DB >> 26505298

Brain-robot interface driven plasticity: Distributed modulation of corticospinal excitability.

Dominic Kraus1, Georgios Naros1, Robert Bauer1, Maria Teresa Leão1, Ulf Ziemann2, Alireza Gharabaghi3.   

Abstract

Brain-robot interfaces (BRI) are studied as novel interventions to facilitate functional restoration in patients with severe and persistent motor deficits following stroke. They bridge the impaired connection in the sensorimotor loop by providing brain-state dependent proprioceptive feedback with orthotic devices attached to the hand or arm of the patients. The underlying neurophysiology of this BRI neuromodulation is still largely unknown. We investigated changes of corticospinal excitability with transcranial magnetic stimulation in thirteen right-handed healthy subjects who performed 40min of kinesthetic motor imagery receiving proprioceptive feedback with a robotic orthosis attached to the left hand contingent to event-related desynchronization of the right sensorimotor cortex in the β-band (16-22Hz). Neural correlates of this BRI intervention were probed by acquiring the stimulus-response curve (SRC) of both motor evoked potential (MEP) peak-to-peak amplitudes and areas under the curve. In addition, a motor mapping was obtained. The specificity of the effects was studied by comparing two neighboring hand muscles, one BRI-trained and one control muscle. Robust changes of MEP amplitude but not MEP area occurred following the BRI intervention, but only in the BRI-trained muscle. The steep part of the SRC showed an MEP increase, while the plateau of the SRC showed an MEP decrease. MEP mapping revealed a distributed pattern with a decrease of excitability in the hand area of the primary motor cortex, which controlled the BRI, but an increase of excitability in the surrounding somatosensory and premotor cortex. In conclusion, the BRI intervention induced a complex pattern of modulated corticospinal excitability, which may boost subsequent motor learning during physiotherapy.
Copyright © 2015 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain–computer interface; Brain–machine interface; Brain–robot interface; Corticospinal excitability; EEG; Event-related desynchronization; Plastic reorganization; Stimulus–response curve

Mesh:

Year:  2015        PMID: 26505298     DOI: 10.1016/j.neuroimage.2015.09.074

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  32 in total

1.  Reaction Time Predicts Brain-Computer Interface Aptitude.

Authors:  Sam Darvishi; Alireza Gharabaghi; Michael C Ridding; Derek Abbott; Mathias Baumert
Journal:  IEEE J Transl Eng Health Med       Date:  2018-11-09       Impact factor: 3.316

Review 2.  [Neurofeedback-based motor imagery training for rehabilitation after stroke].

Authors:  C Dettmers; N Braun; I Büsching; T Hassa; S Debener; J Liepert
Journal:  Nervenarzt       Date:  2016-10       Impact factor: 1.214

Review 3.  Sensorimotor Integration During Motor Learning: Transcranial Magnetic Stimulation Studies.

Authors:  Zeliha Matur; A Emre Öge
Journal:  Noro Psikiyatr Ars       Date:  2017-12       Impact factor: 1.339

4.  Rewiring cortico-muscular control in the healthy and post-stroke human brain with proprioceptive beta-band neurofeedback.

Authors:  Fatemeh Khademi; Georgios Naros; Ali Nicksirat; Dominic Kraus; Alireza Gharabaghi
Journal:  J Neurosci       Date:  2022-08-08       Impact factor: 6.709

5.  Spatially bivariate EEG-neurofeedback can manipulate interhemispheric inhibition.

Authors:  Masaaki Hayashi; Kohei Okuyama; Nobuaki Mizuguchi; Ryotaro Hirose; Taisuke Okamoto; Michiyuki Kawakami; Junichi Ushiba
Journal:  Elife       Date:  2022-07-07       Impact factor: 8.713

6.  Decoding personalized motor cortical excitability states from human electroencephalography.

Authors:  Sara J Hussain; Romain Quentin
Journal:  Sci Rep       Date:  2022-04-15       Impact factor: 4.996

7.  Brain State-Dependent Closed-Loop Modulation of Paired Associative Stimulation Controlled by Sensorimotor Desynchronization.

Authors:  Vladislav Royter; Alireza Gharabaghi
Journal:  Front Cell Neurosci       Date:  2016-05-10       Impact factor: 5.505

8.  Combining TMS and tACS for Closed-Loop Phase-Dependent Modulation of Corticospinal Excitability: A Feasibility Study.

Authors:  Valerio Raco; Robert Bauer; Srikandarajah Tharsan; Alireza Gharabaghi
Journal:  Front Cell Neurosci       Date:  2016-05-25       Impact factor: 5.505

9.  Closed-Loop Neuroscience and Non-Invasive Brain Stimulation: A Tale of Two Loops.

Authors:  Christoph Zrenner; Paolo Belardinelli; Florian Müller-Dahlhaus; Ulf Ziemann
Journal:  Front Cell Neurosci       Date:  2016-04-07       Impact factor: 5.505

10.  Multi-contact functional electrical stimulation for hand opening: electrophysiologically driven identification of the optimal stimulation site.

Authors:  Cristiano De Marchis; Thiago Santos Monteiro; Cristina Simon-Martinez; Silvia Conforto; Alireza Gharabaghi
Journal:  J Neuroeng Rehabil       Date:  2016-03-08       Impact factor: 4.262

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