Motor Görüntüleme Görevlerinde EEG Bant Dinamiklerinin Araştırılması: BCI Eğitimli Bir Bireyin Topografik Beyin Haritalama Çalışması

Year 2025, Volume: 9 Issue: 1, 42 - 46, 31.07.2025

Esra Kaya , Ismail Sarıtas

Abstract

Elektroensefalogram (EEG) sinyalleri, maliyet etkinliği ve yüksek hareket kabiliyeti nedeniyle Beyin-Bilgisayar Arayüzü (BBA) uygulamaları için oldukça uygundur. EEG sinyalleri yüksek zamansal çözünürlüğe sahip olmasına rağmen, uzaysal çözünürlükleri düşüktür. Bu çalışmada, BBA eğitimi almış bir bireyin dört sınıflı Motor İmgeleme (MI) EEG sinyalleri, EEG'nin uzaysal dağılımını incelemek için topografik beyin haritalama yöntemi ile analiz edilmiştir. Analiz, MI görevinin her saniyesi için her bir EEG dalga bandının incelenmesiyle gerçekleştirilmiştir. Sonuç olarak, konsantrasyon ve öğrenme ile ilgili Delta ve Teta bantları ilk saniyelerde aktivite göstermiştir. Alfa, Beta ve Gamma aktiviteleri için aktif düşünce ile ilgili süreçler ilk saniyelerde, karar verme ile ilgili süreçler ise son saniyelerde gerçekleşmiştir. Her bir elektrot kanalı için EEG bantlarının aktiviteleri belirlendiğinde, BBA uygulamalarında başarı artırılabilir. Çalışmanın paradigma oluşturma ve iyileştirme konusunda yapılacak diğer çalışmalara referans olma potansiyeli bulunmaktadır.

Keywords

BBA , EEG Dalga Bantları , Motor Görüntüleme , Topografik Beyin Haritalama

Project Number

Selcuk University / 2017-ÖYP-045

Investigating EEG Band Dynamics in Motor Imagery Tasks: A Topographic Brain Mapping Study of a BCI-Trained Individual

Abstract

Electroencephalogram (EEG) signals are very suitable for Brain-Computer Interface (BCI) applications due to their cost-effectiveness and high mobility. Although EEG signals have a high temporal resolution, their spatial resolution is low. In this study, four-class Motor Imagery (MI) EEG signals of an individual who received 20-day BCI training were analyzed with the topographic brain mapping method to examine the spatial distribution of EEG. The analysis was performed by examining each EEG waveband for each second of the MI task. As a result, Delta and Theta bands related to concentration and learning showed activity in the first seconds. For Alpha, Beta, and Gamma activities, processes related to active thought occurred in the first seconds, and processes related to decision-making happened in the last seconds. When the activities of EEG bands for each electrode channel are determined, the success in BCI applications can be increased. The study has the potential to be a reference for other studies on paradigm creation and improvement.

Keywords

BCI , EEG Wave Bands , Motor Imagery , Topographic Brain Mapping

Project Number

Selcuk University / 2017-ÖYP-045

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