Literature DB >> 27965067

Physiological and behavioral effects of β-tACS on brain self-regulation in chronic stroke.

Georgios Naros1, Alireza Gharabaghi2.   

Abstract

BACKGROUND: Unlike in healthy controls, sensorimotor β-desynchronization (β-ERD) is compromised in stroke patients, i.e., the more severe the patient's motor impairment, the less β-ERD. This, in turn, provides a target substrate for therapeutic brain self-regulation and neurofeedback.
OBJECTIVE: Transcranial alternating current stimulation (tACS) has been shown to modulate brain oscillations during and after stimulation, and may thus facilitate brain self-regulation during neurofeedback interventions.
METHODS: Twenty severely impaired, chronic stroke patients performed kinesthetic motor-imagery while a brain-robot interface transformed β-ERD (17-23 Hz) of the ipsilesional sensorimotor cortex into opening of the paralyzed hand by a robotic orthosis. In a parallel group design, β-tACS (20 Hz, 1.1 mA peak-to-peak amplitude) was applied to the lesioned motor cortex either continuously (c-tACS) before or intermittently (i-tACS) during the intervention. Physiological effects of β-tACS were studied using electroencephalography. The patients' ability for brain self-regulation was captured by neurofeedback performance metrics.
RESULTS: i-tACS - but not c-tACS - improved the classification accuracy of the neurofeedback intervention in comparison to baseline. This effect was mediated via the increased specificity of the classification, i.e., reduced variance of resting oscillations. Neither i-tACS nor c-tACS had aftereffects following the stimulation period.
CONCLUSION: β-tACS may constitute an adjunct neuromodulation technique during neurofeedback-based interventions for stroke rehabilitation. Copyright Â
© 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Beta oscillations; Beta power; Beta power variance; Brain-computer interface; Brain-machine interface; Rehabilitation technology; Stroke; Transcranial alternating current stimulation; Upper limb rehabilitation

Mesh:

Year:  2016        PMID: 27965067     DOI: 10.1016/j.brs.2016.11.003

Source DB:  PubMed          Journal:  Brain Stimul        ISSN: 1876-4754            Impact factor:   8.955


  10 in total

1.  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

2.  EEG-Based Brain Network Analysis of Chronic Stroke Patients After BCI Rehabilitation Training.

Authors:  Gege Zhan; Shugeng Chen; Yanyun Ji; Ying Xu; Zuoting Song; Junkongshuai Wang; Lan Niu; Jianxiong Bin; Xiaoyang Kang; Jie Jia
Journal:  Front Hum Neurosci       Date:  2022-06-27       Impact factor: 3.473

3.  Plasticity of premotor cortico-muscular coherence in severely impaired stroke patients with hand paralysis.

Authors:  Paolo Belardinelli; Leonard Laer; Erick Ortiz; Christoph Braun; Alireza Gharabaghi
Journal:  Neuroimage Clin       Date:  2017-03-16       Impact factor: 4.881

4.  Off-line effects of alpha-frequency transcranial alternating current stimulation on a visuomotor learning task.

Authors:  Taiki Harada; Masayuki Hara; Kojiro Matsushita; Kenji Kawakami; Keisuke Kawakami; Masaya Anan; Hisato Sugata
Journal:  Brain Behav       Date:  2020-07-27       Impact factor: 2.708

5.  Brain-computer interface robotics for hand rehabilitation after stroke: a systematic review.

Authors:  Paul Dominick E Baniqued; Emily C Stanyer; Muhammad Awais; Ali Alazmani; Andrew E Jackson; Mark A Mon-Williams; Faisal Mushtaq; Raymond J Holt
Journal:  J Neuroeng Rehabil       Date:  2021-01-23       Impact factor: 4.262

Review 6.  Systemic Review on Transcranial Electrical Stimulation Parameters and EEG/fNIRS Features for Brain Diseases.

Authors:  Dalin Yang; Yong-Il Shin; Keum-Shik Hong
Journal:  Front Neurosci       Date:  2021-03-26       Impact factor: 4.677

7.  Modulation of Somatosensory Alpha Rhythm by Transcranial Alternating Current Stimulation at Mu-Frequency.

Authors:  Christopher Gundlach; Matthias M Müller; Till Nierhaus; Arno Villringer; Bernhard Sehm
Journal:  Front Hum Neurosci       Date:  2017-08-25       Impact factor: 3.169

8.  Distinct Beta-band Oscillatory Circuits Underlie Corticospinal Gain Modulation.

Authors:  Fatemeh Khademi; Vladimir Royter; Alireza Gharabaghi
Journal:  Cereb Cortex       Date:  2018-04-01       Impact factor: 5.357

9.  Brain-Machine Neurofeedback: Robotics or Electrical Stimulation?

Authors:  Robert Guggenberger; Monika Heringhaus; Alireza Gharabaghi
Journal:  Front Bioeng Biotechnol       Date:  2020-07-07

10.  The Effects of 10 Hz and 20 Hz tACS in Network Integration and Segregation in Chronic Stroke: A Graph Theoretical fMRI Study.

Authors:  Cheng Chen; Kai Yuan; Winnie Chiu-Wing Chu; Raymond Kai-Yu Tong
Journal:  Brain Sci       Date:  2021-03-16
  10 in total

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