Literature DB >> 25665968

Oscillatory entrainment of the motor cortical network during motor imagery is modulated by the feedback modality.

Mathias Vukelić1, Alireza Gharabaghi2.   

Abstract

Neurofeedback of self-regulated brain activity in circumscribed cortical regions is used as a novel strategy to facilitate functional restoration following stroke. Basic knowledge about its impact on motor system oscillations and functional connectivity is however scarce. Specifically, a direct comparison between different feedback modalities and their neural signatures is missing. We assessed a neurofeedback training intervention of modulating β-activity in circumscribed sensorimotor regions by kinesthetic motor imagery (MI). Right-handed healthy participants received two different feedback modalities contingent to their MI-associated brain activity in a cross-over design: (I) visual feedback with a brain-computer interface (BCI) and (II) proprioceptive feedback with a brain-robot interface (BRI) orthosis attached to the right hand. High-density electroencephalography was used to examine the reactivity of the cortical motor system during the training session of each task by studying both local oscillatory power entrainment and distributed functional connectivity. Both feedback modalities activated a distributed functional connectivity network of coherent oscillations. A significantly higher skill and lower variability of self-controlled sensorimotor β-band modulation could, however, be achieved in the BRI condition. This gain in controlling regional motor oscillations was accompanied by functional coupling of remote β-band and θ-band activity in bilateral fronto-central regions and left parieto-occipital regions, respectively. The functional coupling of coherent θ-band oscillations correlated moreover with the skill of regional β-modulation thus revealing a motor learning related network. Our findings indicate that proprioceptive feedback is more suitable than visual feedback to entrain the motor network architecture during the interplay between motor imagery and feedback processing thus resulting in better volitional control of regional brain activity. Published by Elsevier Inc.

Entities:  

Keywords:  Beta rhythms; Brain self-regulation; Brain-robot interface; Brain–computer interface; Brain–machine interface; Functional connectivity; Haptic feedback; Neurorehabilitation; Proprioceptive feedback; Theta rhythms

Mesh:

Year:  2015        PMID: 25665968     DOI: 10.1016/j.neuroimage.2015.01.058

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


  31 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

2.  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

3.  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

4.  Reinforcement learning of self-regulated β-oscillations for motor restoration in chronic stroke.

Authors:  Georgios Naros; Alireza Gharabaghi
Journal:  Front Hum Neurosci       Date:  2015-07-03       Impact factor: 3.169

5.  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

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

Authors:  Florian Grimm; Armin Walter; Martin Spüler; Georgios Naros; Wolfgang Rosenstiel; Alireza Gharabaghi
Journal:  Front Neurosci       Date:  2016-08-09       Impact factor: 4.677

7.  Self-regulation of circumscribed brain activity modulates spatially selective and frequency specific connectivity of distributed resting state networks.

Authors:  Mathias Vukelić; Alireza Gharabaghi
Journal:  Front Behav Neurosci       Date:  2015-07-14       Impact factor: 3.558

8.  Brain state-dependent robotic reaching movement with a multi-joint arm exoskeleton: combining brain-machine interfacing and robotic rehabilitation.

Authors:  Daniel Brauchle; Mathias Vukelić; Robert Bauer; Alireza Gharabaghi
Journal:  Front Hum Neurosci       Date:  2015-10-16       Impact factor: 3.169

9.  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

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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