Literature DB >> 20542087

Acting performance and flow state enhanced with sensory-motor rhythm neurofeedback comparing ecologically valid immersive VR and training screen scenarios.

John Gruzelier1, Atsuko Inoue, Roger Smart, Anthony Steed, Tony Steffert.   

Abstract

Actors were trained in sensory-motor rhythm (SMR) neurofeedback interfaced with a computer rendition of a theatre auditorium. Enhancement of SMR led to changes in the lighting while inhibition of theta and high beta led to a reduction in intrusive audience noise. Participants were randomised to a virtual reality (VR) representation in a ReaCTor, with surrounding image projection seen through glasses, or to a 2D computer screen, which is the conventional neurofeedback medium. In addition there was a no-training comparison group. Acting performance was evaluated by three experts from both filmed, studio monologues and Hamlet excerpts on the stage of Shakespeare's Globe Theatre. Neurofeedback learning reached an asymptote earlier as did identification of the required mental state following training in the ReaCTor training compared with the computer screen, though groups reached the same asymptote. These advantages were paralleled by higher ratings of acting performance overall, well-rounded performance, and especially the creativity subscale including imaginative expression, conviction and characterisation. On the Flow State scales both neurofeedback groups scored higher than the no-training controls on self-ratings of sense of control, confidence and feeling at-one. This is the first demonstration of enhancement of artistic performance with eyes-open neurofeedback training, previously demonstrated only with eyes-closed slow-wave training. Efficacy is attributed to psychological engagement through the ecologically relevant learning context of the acting-space, putatively allowing transfer to the real world otherwise achieved with slow-wave training through imaginative visualisation. The immersive VR technology was more successful than a 2D rendition. Copyright 2010 Elsevier Ireland Ltd. All rights reserved.

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Year:  2010        PMID: 20542087     DOI: 10.1016/j.neulet.2010.06.019

Source DB:  PubMed          Journal:  Neurosci Lett        ISSN: 0304-3940            Impact factor:   3.046


  17 in total

1.  The efficacy of EEG neurofeedback aimed at enhancing sensory-motor rhythm theta ratio in healthy subjects.

Authors:  Massimiliano de Zambotti; Marta Bianchin; Lorenzo Magazzini; Giorgia Gnesato; Alessandro Angrilli
Journal:  Exp Brain Res       Date:  2012-06-23       Impact factor: 1.972

2.  Comparison of Biofeedback and Combined Interventions on Athlete's Performance.

Authors:  Abbas Shokri; Masoud Nosratabadi
Journal:  Appl Psychophysiol Biofeedback       Date:  2021-01-01

3.  The Potential of Functional Near-Infrared Spectroscopy-Based Neurofeedback-A Systematic Review and Recommendations for Best Practice.

Authors:  Simon H Kohl; David M A Mehler; Michael Lührs; Robert T Thibault; Kerstin Konrad; Bettina Sorger
Journal:  Front Neurosci       Date:  2020-07-21       Impact factor: 5.152

4.  Learning to modulate one's own brain activity: the effect of spontaneous mental strategies.

Authors:  Silvia E Kober; Matthias Witte; Manuel Ninaus; Christa Neuper; Guilherme Wood
Journal:  Front Hum Neurosci       Date:  2013-10-18       Impact factor: 3.169

Review 5.  Are treatment effects of neurofeedback training in children with ADHD related to the successful regulation of brain activity? A review on the learning of regulation of brain activity and a contribution to the discussion on specificity.

Authors:  Agnieszka Zuberer; Daniel Brandeis; Renate Drechsler
Journal:  Front Hum Neurosci       Date:  2015-03-27       Impact factor: 3.169

6.  3D visualization of movements can amplify motor cortex activation during subsequent motor imagery.

Authors:  Teresa Sollfrank; Daniel Hart; Rachel Goodsell; Jonathan Foster; Tele Tan
Journal:  Front Hum Neurosci       Date:  2015-08-20       Impact factor: 3.169

7.  Neural substrates of cognitive control under the belief of getting neurofeedback training.

Authors:  Manuel Ninaus; Silvia E Kober; Matthias Witte; Karl Koschutnig; Matthias Stangl; Christa Neuper; Guilherme Wood
Journal:  Front Hum Neurosci       Date:  2013-12-26       Impact factor: 3.169

8.  Control beliefs can predict the ability to up-regulate sensorimotor rhythm during neurofeedback training.

Authors:  Matthias Witte; Silvia Erika Kober; Manuel Ninaus; Christa Neuper; Guilherme Wood
Journal:  Front Hum Neurosci       Date:  2013-08-15       Impact factor: 3.169

9.  Resting alpha activity predicts learning ability in alpha neurofeedback.

Authors:  Feng Wan; Wenya Nan; Mang I Vai; Agostinho Rosa
Journal:  Front Hum Neurosci       Date:  2014-07-14       Impact factor: 3.169

10.  The Brainarium: An Interactive Immersive Tool for Brain Education, Art, and Neurotherapy.

Authors:  Romain Grandchamp; Arnaud Delorme
Journal:  Comput Intell Neurosci       Date:  2016-09-06
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