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

Author:

Kuznetsova ElizavetaORCID,Veilahti Antti Veikko Petteri,Akhundzadeh Ruhoollah,Radev Stefan,Konicar Lilian,Cowley Benjamin Ultan

Abstract

AbstractNFB has a clear potential as a recognised treatment option for ADHD, but suffers from a lack of clarity about its efficacy, still unresolved after multiple controlled trials. Comparing learners and non-learners based on the evolution of patient-level indicators during the trial serves as a ‘natural’ control, and can help elucidate the mechanisms of NFB. We present a systematic review motivated by the need to establish the state of the art of patient learning during NFB treatment in current clinical literature. One particularly striking question we would like to answer here is whether existing NFB papers study learning variability, since only individual performance differences can give us information about mechanisms of learning. The results show that very few clinical trial reports have dealt with the heterogeneity of NFB learning, nor analysed whether NFB efficacy is dependent on NFB learning, even though NFB is believed to be a treatment based on learning to perform. In this systematic review we examine not only what has been reported, but also provide a critical analysis of possible flaws or gaps in existing studies, and discuss why no generalized conclusions about NFB efficacy have yet been made. Future research should focus on finding reliable ways of identifying the performers and studying participants’ individual learning trajectories as it might enhance prognosis and the allocation of clinical resources.

Funder

University of Helsinki including Helsinki University Central Hospital

Publisher

Springer Science and Business Media LLC

Subject

Applied Psychology,Neuropsychology and Physiological Psychology

Reference77 articles.

1. Alkoby, O., Abu-Rmileh, A., Shriki, O., & Todder, D. (2018). Can we predict who will respond to neurofeedback? A review of the inefficacy problem and existing predictors for successful EEG neurofeedback learning. Neuroscience, 378, 155–164. https://doi.org/10.1016/j.neuroscience.2016.12.050

2. Arnold, L. E., Arns, M., Barterian, J., Bergman, R., Black, S., Conners, C. K., & Williams, C. E. (2021). Double-blind placebo-controlled randomized clinical trial of neurofeedback for attention-deficit/hyperactivity disorder with 13-month follow-up. Journal of the American Academy of Child & Adolescent Psychiatry, 60(7), 841–855. https://doi.org/10.1016/j.jaac.2020.07.906

3. Arns, M., Clark, C. R., Trullinger, M., deBeus, R., Mack, M., & Aniftos, M. (2020). Neurofeedback and attention-deficit/hyperactivity-disorder (ADHD) in children: Rating the evidence and proposed guidelines. Applied Psychophysiology and Biofeedback, 45(2), 39–48. https://doi.org/10.1007/s10484-020-09455-2

4. Arns, M., Drinkenburg, W., & Leon Kenemans, J. (2012). The effects of QEEG informed neurofeedback in ADHD: An open-label pilot study. Applied Psychophysiology and Biofeedback, 37(3), 171–180. https://doi.org/10.1007/s10484-012-9191-4

5. Arrouas, M., Bertholdd, M., Fischer, G., Konrad, U., & Kutzelnigg, A. (2013). Aufmerksamkeits- Defizit/Hyperaktivitäts-Störung Bericht. Bundesministerium für Gesundheit. Retrieved from https://www.sozialministerium.at/Themen/Gesundheit/Nicht-uebertragbare-Krankheiten/Psychische-Gesundheit/AD(H)S---Aufmerksamkeits-Defizit-Hyperaktivit%C3%A4ts-St%C3%B6rung.html

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