ORIGINAL RESEARCH article

Front. Hum. Neurosci.

Sec. Brain-Computer Interfaces

Volume 19 - 2025 | doi: 10.3389/fnhum.2025.1625127

This article is part of the Research TopicBrain-Computer Interfaces (BCIs) for daily activities: Innovations in EEG signal analysis and machine learning approachesView all articles

Associations Between Pre-cue Parietal Alpha Oscillations and Event Related Desynchronization in Motor Imagery-based Brain-computer Interface

Provisionally accepted
Mohamed A A  MohamedMohamed A A Mohamed1*Joshua  GilesJoshua Giles1Mashael  AlsalehMashael Alsaleh2Mahnaz  ArvanehMahnaz Arvaneh1
  • 1The University of Sheffield, Sheffield, United Kingdom
  • 2king Saud university, Ryadah, Saudi Arabia

The final, formatted version of the article will be published soon.

Motor Imagery based brain-computer interfaces (MI-BCIs) offer a promising avenue for controlling external devices via neural signals generated through imagined movements. Despite their potential, the performance of MI-BCIs remains highly variable across users and sessions, presenting a barrier to broader adoption. This study explores the influence of pre-cue parietal alpha power on the quality of the event-related desynchronization (ERD) responses, a critical indicator of MI processes. Analyzing data from 102 sessions involving 77 participants, we identified a robust significant correlation between pre-cue parietal alpha power and ERD magnitude, indicating that elevated pre-cue parietal alpha power is associated with enhanced ERD responses. Additionally, we observed a significant positive relationship between pre-cue parietal alpha power and MI-BCI classification accuracy, highlighting the potential relevance of this neurophysiological metric for BCI performance.Our findings suggest that pre-cue parietal alpha power can serve as a potential marker for optimizing MI-BCI systems. Integrating this marker into individualized training protocols can potentially enhance MI-BCI systems' consistency, and overall accuracy.

Keywords: Event-Related Desynchronization, MI, Brain-computer interface, Pre-cue, parietal alpha

Received: 08 May 2025; Accepted: 07 Jul 2025.

Copyright: © 2025 Mohamed, Giles, Alsaleh and Arvaneh. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Mohamed A A Mohamed, The University of Sheffield, Sheffield, United Kingdom

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