Literature DB >> 24690579

EEG-neurofeedback for optimising performance. III: a review of methodological and theoretical considerations.

John H Gruzelier1.   

Abstract

In continuing this three-part review on validation of EEG-neurofeedback for optimal performance evidence is first provided for feedback influences on the CNS, the integration of EEG with fMRI methodology as well as anatomical correlates. Then whereas Parts I and II reviewed the considerable behavioural outcome gains and evidence for their feedback causation, part III lays bare the not inconsiderable methodological and theoretical conundrums. Cardinal assumptions amongst practitioners about specificity of topography, behavioural outcome and frequency bands are critically examined. The hitherto mostly neglected nature of feedback learning is reviewed including evidence of within- and between-session and successive baseline learning; the enduring impact on the tonic EEG; implications for experimental design, individual differences and the trainer-participant interface; distinguishing between the learning and mastery of self-regulation; connectivity, ratio, unidirectional and multimodal feedback protocols. A thorough grounding in human neuroscience plus interpersonal skills are considered prerequisites for scientific advancement and ethically sound practice.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Connectivity; EEG; Learning; Neurofeedback; Neuromodulation; Self-regulation; fMRI

Mesh:

Year:  2014        PMID: 24690579     DOI: 10.1016/j.neubiorev.2014.03.015

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


  55 in total

1.  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 2.  Closed-loop brain training: the science of neurofeedback.

Authors:  Ranganatha Sitaram; Tomas Ros; Luke Stoeckel; Sven Haller; Frank Scharnowski; Jarrod Lewis-Peacock; Nikolaus Weiskopf; Maria Laura Blefari; Mohit Rana; Ethan Oblak; Niels Birbaumer; James Sulzer
Journal:  Nat Rev Neurosci       Date:  2016-12-22       Impact factor: 34.870

Review 3.  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

4.  The validity of individual frontal alpha asymmetry EEG neurofeedback.

Authors:  C W E M Quaedflieg; F T Y Smulders; T Meyer; F Peeters; H Merckelbach; T Smeets
Journal:  Soc Cogn Affect Neurosci       Date:  2015-07-10       Impact factor: 3.436

5.  Sensorimotor rhythm neurofeedback training relieves anxiety in healthy people.

Authors:  Shuang Liu; Xinyu Hao; Xiaoya Liu; Yuchen He; Ludan Zhang; Xingwei An; Xizi Song; Dong Ming
Journal:  Cogn Neurodyn       Date:  2021-12-02       Impact factor: 3.473

6.  The Effect of Neurofeedback on the Reaction Time and Cognitive Performance of Athletes: A Systematic Review and Meta-Analysis.

Authors:  Michele Andrade de Brito; José Raimundo Fernandes; Natã Sant'Anna Esteves; Vanessa Teixeira Müller; Daniella Brito Alexandria; Diego Ignacio Valenzuela Pérez; Maamer Slimani; Ciro José Brito; Nicola Luigi Bragazzi; Bianca Miarka
Journal:  Front Hum Neurosci       Date:  2022-06-20       Impact factor: 3.473

7.  Closed-Loop Neurofeedback of α Synchrony during Goal-Directed Attention.

Authors:  Jyoti Mishra; Mira Lowenstein; Richard Campusano; Yihan Hu; Juan Diaz-Delgado; Jacqueline Ayyoub; Rajat Jain; Adam Gazzaley
Journal:  J Neurosci       Date:  2021-05-21       Impact factor: 6.167

8.  The modulation of neural insular activity by a brain computer interface differentially affects pain discrimination.

Authors:  Philipp Taesler; Michael Rose
Journal:  Sci Rep       Date:  2021-05-07       Impact factor: 4.379

Review 9.  Neurofeedback and the Aging Brain: A Systematic Review of Training Protocols for Dementia and Mild Cognitive Impairment.

Authors:  Lucas R Trambaiolli; Raymundo Cassani; David M A Mehler; Tiago H Falk
Journal:  Front Aging Neurosci       Date:  2021-06-09       Impact factor: 5.750

10.  A Novel Cognition-Guided Neurofeedback BCI Dataset on Nicotine Addiction.

Authors:  Junjie Bu; Chang Liu; Huixing Gou; Hefan Gan; Yan Cheng; Mengyuan Liu; Rui Ni; Zhen Liang; Guanbao Cui; Ginger Qinghong Zeng; Xiaochu Zhang
Journal:  Front Neurosci       Date:  2021-07-06       Impact factor: 4.677

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.