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. 2024 Dec;24(6):1065-1083.
doi: 10.3758/s13415-024-01218-4. Epub 2024 Sep 25.

Effects of one session of theta or high alpha neurofeedback on EEG activity and working memory

Samy Chikhi  1   2 , Nadine Matton  3   4 , Marie Sanna  5 , Sophie Blanchet  5
Affiliations

Effects of one session of theta or high alpha neurofeedback on EEG activity and working memory

Samy Chikhi et al. Cogn Affect Behav Neurosci. 2024 Dec.

Abstract

Neurofeedback techniques provide participants immediate feedback on neuronal signals, enabling them to modulate their brain activity. This technique holds promise to unveil brain-behavior relationship and offers opportunities for neuroenhancement. Establishing causal relationships between modulated brain activity and behavioral improvements requires rigorous experimental designs, including appropriate control groups and large samples. Our primary objective was to examine whether a single neurofeedback session, designed to enhance working memory through the modulation of theta or high-alpha frequencies, elicits specific changes in electrophysiological and cognitive outcomes. Additionally, we explored predictors of successful neuromodulation. A total of 101 healthy adults were assigned to groups trained to increase frontal theta, parietal high alpha, or random frequencies (active control group). We measured resting-state EEG, working memory performance, and self-reported psychological states before and after one neurofeedback session. Although our analyses revealed improvements in electrophysiological and behavioral outcomes, these gains were not specific to the experimental groups. An increase in the frequency targeted by the training has been observed for the theta and high alpha groups, but training designed to increase randomly selected frequencies appears to induce more generalized neuromodulation compared with targeting a specific frequency. Among all the predictors of neuromodulation examined, resting theta and high alpha amplitudes predicted specifically the increase of those frequencies during the training. These results highlight the challenge of integrating a control group based on enhancing randomly selected frequency bands and suggest potential avenues for optimizing interventions (e.g., by including a control group trained in both up- and down-regulation).

Keywords: Active control group; High alpha; Neurofeedback; Theta; Working memory.

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References

    1. Aliño, M., Gadea, M., & Espert, R. (2016). A critical view of neurofeedback experimental designs: Sham and control as necessary conditions. International Journal of Neurology and Neurotherapy, 3(41), 10-23937. https://doi.org/10.23937/2378-3001/3/1/1041
    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 - DOI - PubMed
    1. Asai, T., Hamamoto, T., Kashihara, S., & Imamizu, H. (2022). Real-time detection and feedback of canonical electroencephalogram microstates: Validating a neurofeedback system as a function of delay. Frontiers in Systems Neuroscience, 16, 786200. https://doi.org/10.3389/fnsys.2022.786200 - DOI - PubMed
    1. Başar, E., Başar-Eroglu, C., Karakaş, S., & Schürmann, M. (2001). Gamma, alpha, delta, and theta oscillations govern cognitive processes. International Journal of Psychophysiology, 39(2–3), 241–248. https://doi.org/10.1016/S0167-8760(00)00145-8 - DOI - PubMed
    1. Bassett, D. S., & Khambhati, A. N. (2017). A network engineering perspective on probing and perturbing cognition with neurofeedback. Annals of the New York Academy of Sciences, 1396(1), 126–143. https://doi.org/10.1111/nyas.13338 - DOI - PubMed - PMC

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