Literature DB >> 24904993

Self-regulation of inter-hemispheric visual cortex balance through real-time fMRI neurofeedback training.

F Robineau1, S W Rieger2, C Mermoud3, S Pichon4, Y Koush5, D Van De Ville5, P Vuilleumier4, F Scharnowski5.   

Abstract

Recent advances in neurofeedback based on real-time functional magnetic resonance imaging (fMRI) allow for learning to control spatially localized brain activity in the range of millimeters across the entire brain. Real-time fMRI neurofeedback studies have demonstrated the feasibility of self-regulating activation in specific areas that are involved in a variety of functions, such as perception, motor control, language, and emotional processing. In most of these previous studies, participants trained to control activity within one region of interest (ROI). In the present study, we extended the neurofeedback approach by now training healthy participants to control the interhemispheric balance between their left and right visual cortices. This was accomplished by providing feedback based on the difference in activity between a target visual ROI and the corresponding homologue region in the opposite hemisphere. Eight out of 14 participants learned to control the differential feedback signal over the course of 3 neurofeedback training sessions spread over 3 days, i.e., they produced consistent increases in the visual target ROI relative to the opposite visual cortex. Those who learned to control the differential feedback signal were subsequently also able to exert that control in the absence of neurofeedback. Such learning to voluntarily control the balance between cortical areas of the two hemispheres might offer promising rehabilitation approaches for neurological or psychiatric conditions associated with pathological asymmetries in brain activity patterns, such as hemispatial neglect, dyslexia, or mood disorders.
Copyright © 2014 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Brain training; Neurofeedback; Real-time functional magnetic resonance imaging (fMRI); Self-regulation; Visual attention; Visual imagery

Mesh:

Year:  2014        PMID: 24904993     DOI: 10.1016/j.neuroimage.2014.05.072

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


  21 in total

1.  Covert neurofeedback without awareness shapes cortical network spontaneous connectivity.

Authors:  Michal Ramot; Shany Grossman; Doron Friedman; Rafael Malach
Journal:  Proc Natl Acad Sci U S A       Date:  2016-04-11       Impact factor: 11.205

2.  Implicit Neurofeedback Training of Feature-Based Attention Promotes Biased Sensory Processing during Integrative Decision-Making.

Authors:  Angela I Renton; David R Painter; Jason B Mattingley
Journal:  J Neurosci       Date:  2021-08-12       Impact factor: 6.167

3.  Manipulating motor performance and memory through real-time fMRI neurofeedback.

Authors:  Frank Scharnowski; Ralf Veit; Regine Zopf; Petra Studer; Simon Bock; Jörn Diedrichsen; Rainer Goebel; Klaus Mathiak; Niels Birbaumer; Nikolaus Weiskopf
Journal:  Biol Psychol       Date:  2015-03-18       Impact factor: 3.251

4.  Social reward improves the voluntary control over localized brain activity in fMRI-based neurofeedback training.

Authors:  Krystyna A Mathiak; Eliza M Alawi; Yury Koush; Miriam Dyck; Julia S Cordes; Tilman J Gaber; Florian D Zepf; Nicola Palomero-Gallagher; Pegah Sarkheil; Susanne Bergert; Mikhail Zvyagintsev; Klaus Mathiak
Journal:  Front Behav Neurosci       Date:  2015-06-03       Impact factor: 3.558

5.  Comparison of anterior cingulate vs. insular cortex as targets for real-time fMRI regulation during pain stimulation.

Authors:  Kirsten Emmert; Markus Breimhorst; Thomas Bauermann; Frank Birklein; Dimitri Van De Ville; Sven Haller
Journal:  Front Behav Neurosci       Date:  2014-10-09       Impact factor: 3.558

6.  Functional MRI neurofeedback training on connectivity between two regions induces long-lasting changes in intrinsic functional network.

Authors:  Fukuda Megumi; Ayumu Yamashita; Mitsuo Kawato; Hiroshi Imamizu
Journal:  Front Hum Neurosci       Date:  2015-03-30       Impact factor: 3.169

Review 7.  Optimizing real time fMRI neurofeedback for therapeutic discovery and development.

Authors:  L E Stoeckel; K A Garrison; S Ghosh; P Wighton; C A Hanlon; J M Gilman; S Greer; N B Turk-Browne; M T deBettencourt; D Scheinost; C Craddock; T Thompson; V Calderon; C C Bauer; M George; H C Breiter; S Whitfield-Gabrieli; J D Gabrieli; S M LaConte; L Hirshberg; J A Brewer; M Hampson; A Van Der Kouwe; S Mackey; A E Evins
Journal:  Neuroimage Clin       Date:  2014-07-10       Impact factor: 4.881

8.  fMRI neurofeedback of higher visual areas and perceptual biases.

Authors:  I Habes; S Rushton; S J Johnston; M O Sokunbi; K Barawi; M Brosnan; T Daly; N Ihssen; D E J Linden
Journal:  Neuropsychologia       Date:  2016-03-26       Impact factor: 3.139

9.  Correlation between amygdala BOLD activity and frontal EEG asymmetry during real-time fMRI neurofeedback training in patients with depression.

Authors:  Vadim Zotev; Han Yuan; Masaya Misaki; Raquel Phillips; Kymberly D Young; Matthew T Feldner; Jerzy Bodurka
Journal:  Neuroimage Clin       Date:  2016-02-12       Impact factor: 4.881

Review 10.  Real-time functional magnetic resonance imaging neurofeedback in motor neurorehabilitation.

Authors:  David E J Linden; Duncan L Turner
Journal:  Curr Opin Neurol       Date:  2016-08       Impact factor: 5.710

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