EEG-Based Comparative Study of Brain Activity during Imagined Natural and Induced Water and Saliva Swallowing

Sevgi Gökçe Aslan

Makale detayları

EEG-Based Comparative Study of Brain Activity during Imagined Natural and Induced Water and Saliva Swallowing

Yazarlar:

Sevgi Gökçe Aslan

Yayıncı:

Dicle University

Ana Başlıklar:

Hesaplamalı Sinirbilim | Sinirbilim (Diğer) | Rehabilitasyon Mühendisliği | Sinir Mühendisliği | Biyomedikal Mühendisliği (Diğer)

Dergi:

Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Vol.16 Issue 3, pp.599-610

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001358929

pISSN:

1309-8640

Anahtar kelimeler:

Özet:

 Dysphagia often makes eating and drinking painful, stressful, and socially isolating, potentially leading to malnutrition, dehydration, weight loss, and respiratory infections. In this study, the relationship between swallowing and brain signals was examined to contribute to the electrophysiological understanding of the imagination of swallowing and rehabilitation of dysphagia patients. To examine the swallowing event, three different experiments were conducted. The experiments included i natural water swallowing, ii swallowing saliva in an induced manner, and iii swallowing a sip of water in an induced manner. Visual cues on a computer monitor were used to induce the perception of swallowing and imagination. EEG data from 16 channels obtained during 15 trials of these experimental paradigms from 30 subjects 15 men were subjected to different processes such as noise removal, selection of signal segments corresponding to the imagination of swallowing, extraction of frequency domain features, and statistical analysis. Eleven features such as spectral centroid, mean and median frequency, delta, theta, alpha and beta band powers, and relative band powers obtained from 16 channels a total of 176 features were first subjected to the Shapiro-Wilks normality test individually. As a result of this test, the statistical analyses were carried out with the help of repeated measures one-way ANOVA test for the features with normal distribution spectral centroid from 11 channels, and the Friedman test for the features with non-normal distribution spectral centroid from the remaining 5 channels and all other features from 16 channels. As a result of these tests, it is seen that 76.7 of all features yield statistically significant differences between 3 different swallowing approaches. We suggest that identifying discriminative EEG-based features could significantly contribute to the development of novel brain-machine interface applications for dysphagia rehabilitation.

 Dysphagia often makes eating and drinking painful, stressful, and socially isolating, potentially leading to malnutrition, dehydration, weight loss, and respiratory infections. In this study, the relationship between swallowing and brain signals was examined to contribute to the electrophysiological understanding of the imagination of swallowing and rehabilitation of dysphagia patients. To examine the swallowing event, three different experiments were conducted. The experiments included i natural water swallowing, ii swallowing saliva in an induced manner, and iii swallowing a sip of water in an induced manner. Visual cues on a computer monitor were used to induce the perception of swallowing and imagination. EEG data from 16 channels obtained during 15 trials of these experimental paradigms from 30 subjects 15 men were subjected to different processes such as noise removal, selection of signal segments corresponding to the imagination of swallowing, extraction of frequency domain features, and statistical analysis. Eleven features such as spectral centroid, mean and median frequency, delta, theta, alpha and beta band powers, and relative band powers obtained from 16 channels a total of 176 features were first subjected to the Shapiro-Wilks normality test individually. As a result of this test, the statistical analyses were carried out with the help of repeated measures one-way ANOVA test for the features with normal distribution spectral centroid from 11 channels, and the Friedman test for the features with non-normal distribution spectral centroid from the remaining 5 channels and all other features from 16 channels. As a result of these tests, it is seen that 76.7 of all features yield statistically significant differences between 3 different swallowing approaches. We suggest that identifying discriminative EEG-based features could significantly contribute to the development of novel brain-machine interface applications for dysphagia rehabilitation.

 Dysphagia often makes eating and drinking painful, stressful, and socially isolating, potentially leading to malnutrition, dehydration, weight loss, and respiratory infections. In this study, the relationship between swallowing and brain signals was examined to contribute to the electrophysiological understanding of the imagination of swallowing and rehabilitation of dysphagia patients. To examine the swallowing event, three different experiments were conducted. The experiments included i natural water swallowing, ii swallowing saliva in an induced manner, and iii swallowing a sip of water in an induced manner. Visual cues on a computer monitor were used to induce the perception of swallowing and imagination. EEG data from 16 channels obtained during 15 trials of these experimental paradigms from 30 subjects 15 men were subjected to different processes such as noise removal, selection of signal segments corresponding to the imagination of swallowing, extraction of frequency domain features, and statistical analysis. Eleven features such as spectral centroid, mean and median frequency, delta, theta, alpha and beta band powers, and relative band powers obtained from 16 channels a total of 176 features were first subjected to the Shapiro-Wilks normality test individually. As a result of this test, the statistical analyses were carried out with the help of repeated measures one-way ANOVA test for the features with normal distribution spectral centroid from 11 channels, and the Friedman test for the features with non-normal distribution spectral centroid from the remaining 5 channels and all other features from 16 channels. As a result of these tests, it is seen that 76.7 of all features yield statistically significant differences between 3 different swallowing approaches. We suggest that identifying discriminative EEG-based features could significantly contribute to the development of novel brain-machine interface applications for dysphagia rehabilitation.

 Yutma güçlüğü disfaji, bireyler için yemek yeme ve sıvı tüketimini ağrılı ve stresli bir deneyim hâline getirebilir. Bu çalışma, yutma imgelemesinin sinirsel karşılıklarını araştırarak sürecin elektrofizyolojik açıdan daha iyi anlaşılmasını sağlamayı ve rehabilitasyon stratejilerinin geliştirilmesine katkıda bulunmayı amaçlamaktadır. Bu doğrultuda üç deneysel paradigma tasarlanmıştır: i doğal su yutma, ii görsel uyarıcı ile indüklenmiş tükürük yutma ve iii bir yudum suyun görsel uyarıcı ile indüklenmiş yutulması. Her bir koşul, görsel ipuçlarıyla yönlendirilen hem gerçek yutma hem de motor imgeleme görevlerini içermektedir. EEG verileri, her bir koşul için 15 tekrar olmak üzere, 30 katılımcıdan 15 erkek, 15 kadın 16 kanaldan kaydedilmiştir. Gürültü giderme ve sinyal parçalama gibi önişleme adımlarının ardından, spektral ağırlık merkezi, ortalama ve medyan frekans ile bant güçleri gibi toplam 176 frekans alanı özelliği çıkarılmıştır. Özelliklerin normalliği Shapiro-Wilk testi ile değerlendirilmiştir. Normal dağılım gösteren özellikler 11 kanaldan elde edilen spektral ağırlık merkezi tekrarlayan ölçümler için tek yönlü ANOVA ile, normal dağılmayan özellikler ise Friedman testi ile analiz edilmiştir. İstatistiksel analiz sonuçları, tüm özelliklerin 76,7sinin üç farklı yutma durumu arasında anlamlı farklılık gösterdiğini ortaya koymuştur. Bu bulgular, EEG tabanlı özelliklerin farklı yutma imgeleme türleri arasında etkili bir şekilde ayrım yapabileceğini ve disfaji rehabilitasyonuna yönelik beyin-bilgisayar arayüzü uygulamaları için önemli bir potansiyel sunduğunu göstermektedir.

Makale detayları

EEG-Based Comparative Study of Brain Activity during Imagined Natural and Induced Water and Saliva Swallowing

Yazarlar:

Sevgi Gökçe Aslan

Yayıncı:

Dicle University

Ana Başlıklar:

Hesaplamalı Sinirbilim | Sinirbilim (Diğer) | Rehabilitasyon Mühendisliği | Sinir Mühendisliği | Biyomedikal Mühendisliği (Diğer)

Dergi:

Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Vol.16 Issue 3, pp.599-610

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001358929

pISSN:

1309-8640

Dysphagia

EEG

swallowing

imagination

statistical analysisDisfaji

EEG

Yutma

İmgeleme

İstatistiksel analiz

Sayı

Makale detayları

Yazarlar: Sevgi Gökçe Aslan

Yayıncı: Dicle University

Ana Başlıklar: Hesaplamalı Sinirbilim | Sinirbilim (Diğer) | Rehabilitasyon Mühendisliği | Sinir Mühendisliği | Biyomedikal Mühendisliği (Diğer)

Dergi: Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Vol.16 Issue 3, pp.599-610

Belge Tipi: Makale

Yayın Tarihi: 9/2025

Belge Dili: İngilizce

Document ID (Org No.): 2001358929

pISSN: 1309-8640

Sayı

Yazarlar:

Sevgi Gökçe Aslan

Yayıncı:

Dicle University

Ana Başlıklar:

Hesaplamalı Sinirbilim | Sinirbilim (Diğer) | Rehabilitasyon Mühendisliği | Sinir Mühendisliği | Biyomedikal Mühendisliği (Diğer)

Dergi:

Dicle Üniversitesi Mühendislik Fakültesi Mühendislik Dergisi Vol.16 Issue 3, pp.599-610

Belge Tipi:

Makale

Yayın Tarihi:

9/2025

Belge Dili:

İngilizce

Document ID (Org No.):

2001358929

pISSN:

1309-8640