Literature DB >> 28069531

Can We Predict Who Will Respond to Neurofeedback? A Review of the Inefficacy Problem and Existing Predictors for Successful EEG Neurofeedback Learning.

O Alkoby1, A Abu-Rmileh1, O Shriki1, D Todder2.   

Abstract

Despite the success of neurofeedback treatment in many cases, the variability in the efficacy of the treatment is high, and some studies report that a significant proportion of subjects does not benefit from it. Quantifying the extent of this problem is difficult, as many studies do not report the variability among subjects. Nonetheless, the ability to identify in advance those subjects who are - or who are not - likely to benefit from neurofeedback is an important issue, which is only now starting to gain attention. Here, we review the problem of inefficacy in neurofeedback treatment as well as possible psychological and neurophysiological predictors for successful treatment. A possible explanation for treatment ineffectiveness lies in the necessity to adapt the treatment protocol to the individual subject. We therefore discuss the use of personalized neurofeedback protocols as a potential way to reduce the inefficacy problem.
Copyright © 2017 IBRO. Published by Elsevier Ltd. All rights reserved.

Keywords:  EEG; brain–computer interfaces; neurofeedback; neurofeedback inefficacy

Mesh:

Year:  2017        PMID: 28069531     DOI: 10.1016/j.neuroscience.2016.12.050

Source DB:  PubMed          Journal:  Neuroscience        ISSN: 0306-4522            Impact factor:   3.590


  38 in total

1.  On the relevance of EEG resting theta activity for the neurophysiological dynamics underlying motor inhibitory control.

Authors:  Charlotte Pscherer; Moritz Mückschel; Lena Summerer; Annet Bluschke; Christian Beste
Journal:  Hum Brain Mapp       Date:  2019-06-20       Impact factor: 5.038

Review 2.  Evaluation of Neurofeedback Learning in Patients with ADHD: A Systematic Review.

Authors:  Elizaveta Kuznetsova; Antti Veikko Petteri Veilahti; Ruhoollah Akhundzadeh; Stefan Radev; Lilian Konicar; Benjamin Ultan Cowley
Journal:  Appl Psychophysiol Biofeedback       Date:  2022-09-30

3.  Alpha/Theta Ratio Neurofeedback Training for Attention Enhancement in Normal Developing Children: A Brief Report.

Authors:  Wenya Nan; Mengqi Wan; Yali Jiang; Xiaoping Shi; Feng Wan; Dan Cai
Journal:  Appl Psychophysiol Biofeedback       Date:  2022-06-13

4.  Combined Aerobic Exercise and Neurofeedback Lead to Improved Task-Relevant Intrinsic Network Synchrony.

Authors:  Saurabh Bhaskar Shaw; Yarden Levy; Allison Mizzi; Gabrielle Herman; Margaret C McKinnon; Jennifer J Heisz; Suzanna Becker
Journal:  Front Hum Neurosci       Date:  2022-06-14       Impact factor: 3.473

5.  The importance of self-efficacy and negative affect for neurofeedback success for central neuropathic pain after a spinal cord injury.

Authors:  Krithika Anil; Sara Demain; Jane Burridge; David Simpson; Julian Taylor; Imogen Cotter; Aleksandra Vuckovic
Journal:  Sci Rep       Date:  2022-06-29       Impact factor: 4.996

6.  Neurofeedback Learning Is Skill Acquisition but Does Not Guarantee Treatment Benefit: Continuous-Time Analysis of Learning-Curves From a Clinical Trial for ADHD.

Authors:  Antti Veikko Petteri Veilahti; Levas Kovarskis; Benjamin Ultan Cowley
Journal:  Front Hum Neurosci       Date:  2021-06-29       Impact factor: 3.169

7.  Functional near-infrared spectroscopy-based affective neurofeedback: feedback effect, illiteracy phenomena, and whole-connectivity profiles.

Authors:  Lucas R Trambaiolli; Claudinei E Biazoli; André M Cravo; Tiago H Falk; João R Sato
Journal:  Neurophotonics       Date:  2018-09-18       Impact factor: 3.593

Review 8.  Effects of Transcranial Alternating Current Stimulation and Neurofeedback on Alpha (EEG) Dynamics: A Review.

Authors:  Mária Orendáčová; Eugen Kvašňák
Journal:  Front Hum Neurosci       Date:  2021-07-08       Impact factor: 3.169

9.  Neurofeedback Training of Alpha Relative Power Improves the Performance of Motor Imagery Brain-Computer Interface.

Authors:  Qing Zhou; Ruidong Cheng; Lin Yao; Xiangming Ye; Kedi Xu
Journal:  Front Hum Neurosci       Date:  2022-04-08       Impact factor: 3.473

10.  Mindfulness Improves Brain-Computer Interface Performance by Increasing Control Over Neural Activity in the Alpha Band.

Authors:  James R Stieger; Stephen Engel; Haiteng Jiang; Christopher C Cline; Mary Jo Kreitzer; Bin He
Journal:  Cereb Cortex       Date:  2021-01-01       Impact factor: 5.357

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