EEG Analysis in Metabolic Syndrome Patients: Exploring Cerebral Abnormalities through Comparative Studies with Healthy Subjects

This paper aims to highlight the potential of Electroencephalography (EEG) in monitoring and early diagnosis of neurologic changes in patients with diabetes or obesity. Recent studies have demonstrated that vagus nerve (VN) stimulation can cause changes in EEG signals, suggesting a link between microbiota, metabolic syndrom and brain activity. EEG, being a non-invasive and low-cost tool, can be successfully used to investigate brain abnormalities also in metabolic diseases. To highlight these changes, EEG signals was recorded from diabetic/obese patients and healthy subjects under relaxed conditions with eyes open. Using advanced signal processing methods, significant changes in EEG activity were observed in both type 2 diabetic and obese patients compared to healthy subjects. These changes include increased alpha rhythm in central frontal and central parietal areas for diabetic patients and in occipital and temporal regions for obese patients.

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Publication Details

Published
2024-10-17
DOI
https://doi.org/10.1109/epei63510.2024.10758177
Citations
4
Primary Topic
EEG and Brain-Computer Interfaces
Type
article
Field-Weighted Citation Impact
1.37
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article

EEG Analysis in Metabolic Syndrome Patients: Exploring Cerebral Abnormalities through Comparative Studies with Healthy Subjects

Dragoş Vicoveanu, Oana Geman, Roxana Toderean
4 citations
EEG and Brain-Computer Interfaces
1.37
article

EEG Analysis in Metabolic Syndrome Patients: Exploring Cerebral Abnormalities through Comparative Studies with Healthy Subjects

Dragoş Vicoveanu, Oana Geman, Roxana Toderean
article en
4 citations

Abstract

This paper aims to highlight the potential of Electroencephalography (EEG) in monitoring and early diagnosis of neurologic changes in patients with diabetes or obesity. Recent studies have demonstrated that vagus nerve (VN) stimulation can cause changes in EEG signals, suggesting a link between microbiota, metabolic syndrom and brain activity. EEG, being a non-invasive and low-cost tool, can be successfully used to investigate brain abnormalities also in metabolic diseases. To highlight these changes, EEG signals was recorded from diabetic/obese patients and healthy subjects under relaxed conditions with eyes open. Using advanced signal processing methods, significant changes in EEG activity were observed in both type 2 diabetic and obese patients compared to healthy subjects. These changes include increased alpha rhythm in central frontal and central parietal areas for diabetic patients and in occipital and temporal regions for obese patients.

Ştefan cel Mare University of Suceava (RO)
Zero hunger
Openalex Percentile: Top 19%
EEG and Brain-Computer Interfaces
1.37
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