Assisting focused attention meditation through EEG-based alpha-theta cross-frequency neurofeedback

Abstract

Objectives: Neurofeedback training involves real-time monitoring and self-regulation of neural activity. Neurofeedback training paradigms have been widely employed in the context of meditation. Interestingly, prior research revealed focused attention meditation to be associated with desynchronized, non-harmonic, cross-frequency relationships between alpha and theta rhythms, suggesting cross-frequency decoupling. However, the potential of training these brainwave patterns to assist meditative practices remains unexplored. Methods: We assessed the trainability of non-harmonic alpha-theta cross-frequency relationships during focused attention meditation through EEG-neurofeedback training. Thirty individuals underwent 25 minutes of both experimental and sham training. During experimental training, participants received auditory feedback upon detection of non-harmonic alpha-theta brainwaves, whereas during sham training, feedback was unrelated to the measured brainwaves. Neural changes were assessed locally at training site Pz and globally across all scalp electrodes. Results: Mixed model analyses showed a global, but not local, interaction effect between trainings over time, indicating that the incidence of non-harmonic alpha-theta relationships across the scalp increased during experimental training compared to sham training (p < 0.001). This effect persisted in the post-training resting-state recording (p = 0.004). Notably, these training-induced increases were associated with improvements in depressive mood state (p < 0.001). Furthermore, participants with a higher depressive mood state at baseline showed stronger training effects (p < 0.001). Conclusions: Neurofeedback training can be used to upregulate non-harmonic alpha-theta cross-frequency relationships during focused attention meditation with durable post-training effects, particularly for those experiencing depressive mood symptoms. These findings lay the groundwork for investigating the effectiveness of multiple-session neurofeedback-assisted mindfulness training.

Competing Interest Statement

The authors have declared no competing interest.

Clinical Trial

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Clinical Protocols

http://osf.io/z9wck

Funding Statement

This work was supported by a KU Leuven Interdisciplinary Networks Grant (IDN/21/022) and a Junior Project Grant from the Flanders Fund for Scientific Research (FWO G046321N).

Author Declarations

I confirm all relevant ethical guidelines have been followed, and any necessary IRB and/or ethics committee approvals have been obtained.

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The details of the IRB/oversight body that provided approval or exemption for the research described are given below:

The study was approved by the ethics committee of UZ/KU Leuven (S68049) in accordance with the Declaration of Helsinki.

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Data Availability

All relevant data are available online on the Open Science Framework

https://osf.io/p93v5/

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