Literature DB >> 35940874

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

Fatemeh Khademi1, Georgios Naros1, Ali Nicksirat1, Dominic Kraus1, Alireza Gharabaghi2.   

Abstract

In severely affected stroke survivors, cortico-muscular control is disturbed and volitional upper limb movements often absent. Mental rehearsal of the impaired movement in conjunction with sensory feedback provision are suggested as promising rehabilitation exercises. Knowledge about the underlying neural processes, however, remains vague. In male and female chronic stroke patients with hand paralysis, a brain-computer interface controlled a robotic orthosis and turned sensorimotor beta-band desynchronization during motor imagery (MI) of finger extension into contingent hand opening. Healthy control subjects performed the same task and received the same proprioceptive feedback with a robotic orthosis or visual feedback only. Only when proprioceptive feedback was provided, cortico-muscular coherence (CMC) increased with a predominant information flow from the sensorimotor cortex to the finger extensors. This effect (i) was specific to the beta frequency-band, (ii) transferred to a motor task, (iii) was proportional to subsequent corticospinal excitability and correlated with behavioral changes in the (iv) healthy and (v) post-stroke condition; notably, MI-related enhancement of beta-band CMC in the ipsilesional premotor cortex correlated with motor improvements after the intervention.In the healthy and injured human nervous system, synchronized activation of motor-related cortical and spinal neural pools facilitates, in accordance with the communication-through-coherence hypothesis, cortico-spinal communication and may, thereby, be therapeutically relevant for functional restoration after stroke, when voluntary movements are no longer possible.Significance statement:This study provides insights into the neural processes that transfer effects of brain-computer interface neurofeedback to subsequent motor behavior. Specifically, volitional control of cortical oscillations and proprioceptive feedback enhances both cortical activity and behaviorally relevant connectivity to the periphery in a topographically circumscribed and frequency-specific way. This enhanced cortico-muscular control can be induced in the healthy and post-stroke brain. Thereby, activating the motor cortex with mental rehearsal of the impaired movement and closing the loop by robot-assisted feedback synchronizes ipsilesional premotor cortex and spinal neural pools in the beta-frequency band. This facilitates, in accordance with the communication-through-coherence hypothesis, cortico-spinal communication and may, thereby, be therapeutically relevant for functional restoration after stroke, when voluntary movements are no longer possible.
Copyright © 2022 the authors.

Entities:  

Year:  2022        PMID: 35940874      PMCID: PMC9463986          DOI: 10.1523/JNEUROSCI.1530-20.2022

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.709


  130 in total

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Review 2.  Multiple single unit recording in the cortex of monkeys using independently moveable microelectrodes.

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Journal:  Neuroimage       Date:  2014-12-17       Impact factor: 6.556

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Journal:  Lancet       Date:  2011-05-14       Impact factor: 79.321

6.  Closed-loop adaptation of neurofeedback based on mental effort facilitates reinforcement learning of brain self-regulation.

Authors:  Robert Bauer; Meike Fels; Vladislav Royter; Valerio Raco; Alireza Gharabaghi
Journal:  Clin Neurophysiol       Date:  2016-06-27       Impact factor: 3.708

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Authors:  Deborah J Serrien; Lucy H A Strens; Michael J Cassidy; Alan J Thompson; Peter Brown
Journal:  Exp Neurol       Date:  2004-12       Impact factor: 5.330

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Authors:  Christoph Braun; Martin Staudt; Carmen Schmitt; Hubert Preissl; Niels Birbaumer; Christian Gerloff
Journal:  Eur J Neurosci       Date:  2007-05       Impact factor: 3.386

9.  What Turns Assistive into Restorative Brain-Machine Interfaces?

Authors:  Alireza Gharabaghi
Journal:  Front Neurosci       Date:  2016-10-13       Impact factor: 4.677

Review 10.  Brain-computer interfaces for post-stroke motor rehabilitation: a meta-analysis.

Authors:  María A Cervera; Surjo R Soekadar; Junichi Ushiba; José Del R Millán; Meigen Liu; Niels Birbaumer; Gangadhar Garipelli
Journal:  Ann Clin Transl Neurol       Date:  2018-03-25       Impact factor: 4.511

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