Literature DB >> 24121086

Lateralized alpha-band cortical networks regulate volitional modulation of beta-band sensorimotor oscillations.

Mathias Vukelić1, Robert Bauer2, Georgios Naros3, Ilias Naros4, Christoph Braun5, Alireza Gharabaghi6.   

Abstract

Sensorimotor rhythms (SMRs) are oscillatory brain activities in the α- and β-bands across the sensorimotor regions of the brain. Each frequency band has its own specific function. The α-band oscillations are closely related to intrinsic cortical networks, whereas oscillations in the β-band are relevant for the information transfer between the cortex and periphery, as well as for visual and proprioceptive feedback. This study aimed to investigate the interaction between these two frequency bands, under the premise that the regional modulation of β-band power is linked to a cortical network in the α-band. We therefore designed a procedure to maximize the modulation of β-band activity over the sensorimotor cortex by combining kinesthetic motor-imagery with closed-loop haptic feedback. The cortical network activity during this procedure was estimated via the phase slope index in electroencephalographic recordings. Analysis of effective connectivity within the α-band network revealed an information flow between the precentral (premotor and primary motor), postcentral (primary somatosensory) and parietal cortical areas. The range of β-modulation was connected to a reduction of an ipsilateral sensorimotor and parietal α-network and, consequently, to a lateralization of this network to the contralateral side. These results showed that regional sensorimotor oscillatory activity in the β-band was regulated by cortical coupling of distant areas in the α-band.
© 2013. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alpha rhythms; Beta rhythms; Cross-frequency interaction; Motor imagery; Phase slope index; Sensorimotor–parietal integration

Mesh:

Year:  2013        PMID: 24121086     DOI: 10.1016/j.neuroimage.2013.10.003

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


  26 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.  Shifting brain circuits in pain chronicity.

Authors:  Andrew M Youssef; Monica Azqueta-Gavaldon; Katie E Silva; Nadia Barakat; Natalia Lopez; Farah Mahmud; Alyssa Lebel; Navil F Sethna; David Zurakowski; Laura E Simons; Eduard Kraft; David Borsook
Journal:  Hum Brain Mapp       Date:  2019-07-12       Impact factor: 5.038

3.  Beta-band activity and connectivity in sensorimotor and parietal cortex are important for accurate motor performance.

Authors:  Jae W Chung; Edward Ofori; Gaurav Misra; Christopher W Hess; David E Vaillancourt
Journal:  Neuroimage       Date:  2016-10-14       Impact factor: 6.556

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.  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

6.  Learned self-regulation of the lesioned brain with epidural electrocorticography.

Authors:  Alireza Gharabaghi; Georgios Naros; Fatemeh Khademi; Jessica Jesser; Martin Spüler; Armin Walter; Martin Bogdan; Wolfgang Rosenstiel; Niels Birbaumer
Journal:  Front Behav Neurosci       Date:  2014-12-09       Impact factor: 3.558

7.  Reinforcement learning for adaptive threshold control of restorative brain-computer interfaces: a Bayesian simulation.

Authors:  Robert Bauer; Alireza Gharabaghi
Journal:  Front Neurosci       Date:  2015-02-12       Impact factor: 4.677

8.  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

9.  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

10.  Estimating cognitive load during self-regulation of brain activity and neurofeedback with therapeutic brain-computer interfaces.

Authors:  Robert Bauer; Alireza Gharabaghi
Journal:  Front Behav Neurosci       Date:  2015-02-16       Impact factor: 3.558

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.