Correlation Between EEG Functional Connectivity and Fasting Blood Glucose in Healthy Subjects

Glucose metabolism is an important factor in human physiology and the main source of energy for the human brain. Low blood glucose concentration (hypoglycemia) will cause several neurological and cardiological symptoms. High concentration (hyperglycemia) is an indicator of a higher risk to diabetes....

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Bibliographic Details
Main Authors: Paeske, Laura, Hinrikus, Hiie, Lass, Jaanus, Pold, Toomas, Bachmann, Maie
Format: Conference Proceeding
Language:English
Subjects:
Biomedical monitoring
Blood
Correlation
Electroencephalography
Glucose
Mental health
Metabolism
Monitoring
Prevention and mitigation
Regulation
Online Access:Request full text
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Summary:Glucose metabolism is an important factor in human physiology and the main source of energy for the human brain. Low blood glucose concentration (hypoglycemia) will cause several neurological and cardiological symptoms. High concentration (hyperglycemia) is an indicator of a higher risk to diabetes. The current study aims to investigate the correlation between electroencephalographic signal (EEG) functional connectivity and fasting blood glucose concentration in healthy people with normal blood glucose concentration. The present study was carried out on a group of forty-four healthy volunteers. The resting-state eyes-closed 30-channel EEG was recorded for 6 minutes and blood samples were collected from the subjects on the same morning. To describe the functional connectivity, magnitude-squared coherence (MSC) was calculated between all channels in delta, theta, alpha, beta and gamma EEG frequency bands. The negative correlation between MSC and fasting blood glucose concentration was statistically significant in delta and gamma bands. The results of the study suggest that the variations in normal blood glucose concentration can affect brain functioning.Clinical Relevance- This is a step in the development of novel biomarkers for monitoring neurological and cognitive function, potentially aiding in the early detection and prevention of metabolic and neurocognitive disorders.
ISSN:2694-0604
DOI:10.1109/EMBC53108.2024.10781613