Literature DB >> 24125857

EEG-neurofeedback for optimising performance. I: a review of cognitive and affective outcome in healthy participants.

John H Gruzelier1.   

Abstract

A re-emergence of research on EEG-neurofeedback followed controlled evidence of clinical benefits and validation of cognitive/affective gains in healthy participants including correlations in support of feedback learning mediating outcome. Controlled studies with healthy and elderly participants, which have increased exponentially, are reviewed including protocols from the clinic: sensory-motor rhythm, beta1 and alpha/theta ratios, down-training theta maxima, and from neuroscience: upper-alpha, theta, gamma, alpha desynchronisation. Outcome gains include sustained attention, orienting and executive attention, the P300b, memory, spatial rotation, RT, complex psychomotor skills, implicit procedural memory, recognition memory, perceptual binding, intelligence, mood and well-being. Twenty-three of the controlled studies report neurofeedback learning indices along with beneficial outcomes, of which eight report correlations in support of a meditation link, results which will be supplemented by further creativity and the performing arts evidence in Part II. Validity evidence from optimal performance studies represents an advance for the neurofeedback field demonstrating that cross fertilisation between clinical and optimal performance domains will be fruitful. Theoretical and methodological issues are outlined further in Part III.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Affect; Cognition; EEG; Elderly; Neurofeedback; Optimal performance; Validity

Mesh:

Year:  2013        PMID: 24125857     DOI: 10.1016/j.neubiorev.2013.09.015

Source DB:  PubMed          Journal:  Neurosci Biobehav Rev        ISSN: 0149-7634            Impact factor:   8.989


  106 in total

1.  Real-time fMRI neurofeedback of the mediodorsal and anterior thalamus enhances correlation between thalamic BOLD activity and alpha EEG rhythm.

Authors:  Vadim Zotev; Masaya Misaki; Raquel Phillips; Chung Ki Wong; Jerzy Bodurka
Journal:  Hum Brain Mapp       Date:  2017-11-27       Impact factor: 5.038

2.  One-Class FMRI-Inspired EEG Model for Self-Regulation Training.

Authors:  Yehudit Meir-Hasson; Jackob N Keynan; Sivan Kinreich; Gilan Jackont; Avihay Cohen; Ilana Podlipsky-Klovatch; Talma Hendler; Nathan Intrator
Journal:  PLoS One       Date:  2016-05-10       Impact factor: 3.240

Review 3.  The Effects of Neurofeedback on Aging-Associated Cognitive Decline: A Systematic Review.

Authors:  Fátima Laborda-Sánchez; Selene Cansino
Journal:  Appl Psychophysiol Biofeedback       Date:  2021-01-02

Review 4.  Review of the therapeutic neurofeedback method using electroencephalography: EEG Neurofeedback.

Authors:  Nina Omejc; Bojan Rojc; Piero Paolo Battaglini; Uros Marusic
Journal:  Bosn J Basic Med Sci       Date:  2019-08-20       Impact factor: 3.363

5.  Closed-loop cognition: the next frontier arrives.

Authors:  Jyoti Mishra; Adam Gazzaley
Journal:  Trends Cogn Sci       Date:  2015-03-25       Impact factor: 20.229

6.  The effects of psychiatric history and age on self-regulation of the default mode network.

Authors:  Stavros Skouras; Frank Scharnowski
Journal:  Neuroimage       Date:  2019-05-16       Impact factor: 6.556

7.  Control freaks: Towards optimal selection of control conditions for fMRI neurofeedback studies.

Authors:  Bettina Sorger; Frank Scharnowski; David E J Linden; Michelle Hampson; Kymberly D Young
Journal:  Neuroimage       Date:  2018-11-10       Impact factor: 6.556

Review 8.  Closed-loop rehabilitation of age-related cognitive disorders.

Authors:  Jyoti Mishra; Adam Gazzaley
Journal:  Semin Neurol       Date:  2014-12-17       Impact factor: 3.420

9.  Endogenously generated gamma-band oscillations in early visual cortex: A neurofeedback study.

Authors:  Nina Merkel; Michael Wibral; Gareth Bland; Wolf Singer
Journal:  Hum Brain Mapp       Date:  2018-04-26       Impact factor: 5.038

Review 10.  A Narrative Review on Clinical Applications of fNIRS.

Authors:  Md Asadur Rahman; Abu Bakar Siddik; Tarun Kanti Ghosh; Farzana Khanam; Mohiuddin Ahmad
Journal:  J Digit Imaging       Date:  2020-09-28       Impact factor: 4.056

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