Literature DB >> 26970878

Brain State-Dependent Transcranial Magnetic Closed-Loop Stimulation Controlled by Sensorimotor Desynchronization Induces Robust Increase of Corticospinal Excitability.

Dominic Kraus1, Georgios Naros1, Robert Bauer1, Fatemeh Khademi1, Maria Teresa Leão1, Ulf Ziemann2, Alireza Gharabaghi3.   

Abstract

BACKGROUND: Desynchronization of sensorimotor rhythmic activity increases instantaneous corticospinal excitability, as indexed by amplitudes of motor-evoked potentials (MEP) elicited by transcranial magnetic stimulation (TMS). The accumulative effect of cortical stimulation in conjunction with sensorimotor desynchronization is, however, unclear.
OBJECTIVE: The aim of this study was to investigate the effects of repetitive pairing event-related desynchronization (ERD) with TMS of the precentral gyrus on corticospinal excitability.
METHODS: Closed-loop single-pulse TMS was controlled by beta-band (16-22 Hz) ERD during motor-imagery of finger extension and applied within a brain-computer interface environment in eleven healthy subjects. The same number and pattern of stimuli were applied in a control group of eleven subjects during rest, i.e. independent of ERD. To probe for plasticity resistant to depotentiation, stimulation protocols were followed by a depotentiation task.
RESULTS: Brain state-dependent application of approximately 300 TMS pulses during beta-ERD resulted in a significant increase of corticospinal excitability. By contrast, the identical stimulation pattern applied independent of beta-ERD in the control experiment resulted in a decrease of corticospinal excitability. These effects persisted beyond the period of stimulation and the depotentiation task.
CONCLUSION: These results could be instrumental in developing new therapeutic approaches such as the application of closed-loop stimulation in the context of neurorehabilitation.
Copyright © 2016 Elsevier Inc. All rights reserved.

Keywords:  Beta-band; Brain state-dependent stimulation; Brain–computer interface; Closed-loop stimulation; Event-related desynchronization; Motor cortex plasticity; Sensorimotor rhythm

Mesh:

Year:  2016        PMID: 26970878     DOI: 10.1016/j.brs.2016.02.007

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


  30 in total

1.  Reaction Time Predicts Brain-Computer Interface Aptitude.

Authors:  Sam Darvishi; Alireza Gharabaghi; Michael C Ridding; Derek Abbott; Mathias Baumert
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2.  Rewiring cortico-muscular control in the healthy and post-stroke human brain with proprioceptive beta-band neurofeedback.

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Review 3.  Personalizing neuromodulation.

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Journal:  Int J Psychophysiol       Date:  2019-01-24       Impact factor: 2.997

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Authors:  Joseph J Taylor; John H Krystal; Deepak C D'Souza; Jason Lee Gerrard; Philip R Corlett
Journal:  Schizophr Res       Date:  2017-09-29       Impact factor: 4.939

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

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Journal:  Front Cell Neurosci       Date:  2016-05-10       Impact factor: 5.505

6.  Hybrid Neuroprosthesis for the Upper Limb: Combining Brain-Controlled Neuromuscular Stimulation with a Multi-Joint Arm Exoskeleton.

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7.  Mindfulness Improves Brain-Computer Interface Performance by Increasing Control Over Neural Activity in the Alpha Band.

Authors:  James R Stieger; Stephen Engel; Haiteng Jiang; Christopher C Cline; Mary Jo Kreitzer; Bin He
Journal:  Cereb Cortex       Date:  2021-01-01       Impact factor: 5.357

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.  Neural Consequences of Increasing Body Weight: Evidence from Somatosensory Evoked Potentials and the Frequency-Specificity of Brain Oscillations.

Authors:  Olivia Lhomond; Normand Teasdale; Martin Simoneau; Laurence Mouchnino
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10.  Closed-Loop Neuroprosthesis for Reach-to-Grasp Assistance: Combining Adaptive Multi-channel Neuromuscular Stimulation with a Multi-joint Arm Exoskeleton.

Authors:  Florian Grimm; Alireza Gharabaghi
Journal:  Front Neurosci       Date:  2016-06-23       Impact factor: 4.677

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