Version 1
: Received: 3 October 2023 / Approved: 3 October 2023 / Online: 3 October 2023 (16:21:33 CEST)
How to cite:
Chang, J.; Chang, C. Quantitative Electroencephalography Markers for Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach. Preprints2023, 2023100170. https://doi.org/10.20944/preprints202310.0170.v1
Chang, J.; Chang, C. Quantitative Electroencephalography Markers for Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach. Preprints 2023, 2023100170. https://doi.org/10.20944/preprints202310.0170.v1
Chang, J.; Chang, C. Quantitative Electroencephalography Markers for Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach. Preprints2023, 2023100170. https://doi.org/10.20944/preprints202310.0170.v1
APA Style
Chang, J., & Chang, C. (2023). Quantitative Electroencephalography Markers for Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach. Preprints. https://doi.org/10.20944/preprints202310.0170.v1
Chicago/Turabian Style
Chang, J. and Chul Chang. 2023 "Quantitative Electroencephalography Markers for Accurate Diagnosis of Frontotemporal Dementia: A Spectral Power Ratio Approach" Preprints. https://doi.org/10.20944/preprints202310.0170.v1
Abstract
Frontotemporal dementia (FTD) is the second most common form of presenile dementia; however, its diagnosis has been poorly investigated. Previous attempts to diagnose FTD using quantitative electroencephalography (qEEG) have yielded inconsistent results in both spectral and functional connectivity analyses. This study aimed to introduce an accurate qEEG marker that could be used to diagnose FTD and other neurological abnormalities. We used open-access electroencephalography data from OpenNeuro to investigate the power ratio between the frontal and temporal lobes in the resting state of 23 patients with FTD and 29 healthy controls. Spectral data were extracted using a Fast Fourier Transform in the delta (1–4 Hz), theta (4–8 Hz), alpha (8–13 Hz), beta (13–32 Hz), and gamma (32–45 Hz) bands. We found that the spectral power ratio between the frontal and temporal lobes is a promising qEEG marker of FTD. Frontal/temporal (F/T) theta/alpha, alpha/theta, al-pha/gamma, and gamma/alpha showed a consistently high discrimination score for the diagnosis of FTD for different parameters and referencing methods. The study findings can serve as reference for future research focused on diagnosing FTD and other neurological anomalies.
Keywords
electroencephalography; power ratio; frontal lobe; temporal lobe; dementia
Subject
Medicine and Pharmacology, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
