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Angeliki-Ilektra Karaiskou

4 papers in the library · publishing 2023-2025

Papers

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EEG-based meditation decoding: tackling subject variability with spatial and temporal alignment.

Journal of Neural Engineering December 22, 2025 Angeliki-Ilektra Karaiskou, Carolina Varon, Cem Ates Musluoglu et al.

Objective. Meditation and mindfulness are increasingly recognized as important in improving mental well-being. However, electroencephalography (EEG)-based neurofeedback systems supporting these practices typically fail to generalize to unseen subjects. This study investigates the application of both spatial and spectral alignment to EEG to improve the classification of meditation and rest...

Cross-Subject Mindfulness Meditation EEG Decoding

2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering October 25, 2023 Angeliki-Ilektra Karaiskou, Carolina Varon, Kaat Alaerts et al.

In recent years, assisting meditation using neuro-feedback applications has become increasingly popular. One key component of such applications is the ability to accurately decode the state of meditation from electroencephalography (EEG) signals in real-time, with as small calibration as possible. This work investigates the problem of cross-subject mindfulness meditation decoding from EEG...

Bidirectional alpha power EEG-neurofeedback during a focused attention meditation practice in novices.

Javier R. Soriano, Eduardo A. Bracho Montes de Oca, Angeliki-Ilektra Karaiskou et al.

Abstract Neurofeedback and meditation practices are techniques aimed at enhancing awareness and self-regulation. Training of alpha power has been found to increase mindfulness outcomes, and increases in alpha power seem relatively consistent during focused attention meditation practices. Considering the commonalities between these self-regulation techniques, here we examined the trainability of...

Assessing Respiratory, Cardiac and Neural Interactions During Rest and Breath-Focus in Novice and Expert Meditation Practitioners

Javier R. Soriano, Angeliki-Ilektra Karaiskou, Julio Rodriguez-Larios et al. preprint

ABSTRACT Background Breath-focused meditation is recognized for its potential to enhance autonomic regulation and attentional control. However, most research focuses on the study of isolated physiological domains, limiting the understanding of how neural and cardiorespiratory systems interact dynamically to support self-regulatory processes. Methods EEG, ECG, and respiratory activity were...