EEG spectral analysis in vascular and Alzheimer dementia
Abstract
The role of EEG spectral analysis in the diagnosis of syndromes of dementia is still disputed. Since there have been few studies dealing with the profile of power spectra, the present investigation has focused on this aspect, constructing power spectra taken from 16 derivations and calculated by averaging twenty 2 sec epochs, using a serial array of frequencies from 1 to 32 Hz. The spectral analysis of the EEG, recorded under awake resting eyes closed (REC) and open (REO) conditions, was performed in 50 patients with Alzheimer's disease (AD), 37 with vascular dementia (VaD) and 36 elderly controls. Three spectral profiles were found under REC: (i) type A, showing a dominant 6.5-12 Hz peak (44% AD, 97.3% VaD), although lower than in controls; (ii) type B, lacking a dominant peak in the 6.5-12 Hz band, but characterised by high power in 1-6.5 Hz band (44% AD, 2.7% VaD); (iii) type C, corresponding to a flat, low voltage, spectrum (12% AD). Unlike controls, demented patients showed an increased REO/REC power ratio in the 6.5-12 Hz band, especially in those with type B spectra. AD patients with type B spectra had an earlier age of disease onset.
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EEG can be used in the differential diagnosis between AD and other diseases leading to dementia, such as vascular brain damage and Lewy body dementia.
“In addition, EEG can be used in the differential diagnosis between AD and other diseases leading to dementia, such as vascular brain damage [20,21] and Lewy body dementia [22,23,24,25,26].”
From Alzheimer's Disease and Frontotemporal Dementia: A Robust Classification Method of EEG Signals and a Comparison of Validation Methods (2021) · cites this paper as [24]
Cites
EARLY MARKER FOR ALZHEIMER'S DISEASE: THE ATROPHIC HIPPOCAMPUS
De Leon, M., George, A., Stylopoulos, L., Smith, G., & Miller, D. (1989) · The Lancet · doi:10.1016/s0140-6736(89)90911-2 · Cited by 284 · see citing works
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Miltiadous, A., Tzimourta, K. D., Giannakeas, N., Tsipouras, M. G., Afrantou, T., Ioannidis, P., & Tzallas, A. T. (2021) · Diagnostics · doi:10.3390/diagnostics11081437 · Cited by 160 · see citing works
Recurrent neural network-based approach for early recognition of Alzheimer's disease in EEG
Petrosian, A. A., Prokhorov, D. V., Lajara-Nanson, W., & Schiffer, R. B. (2001) · Clinical Neurophysiology · doi:10.1016/s1388-2457(01)00579-x · Cited by 126 · see citing works
- Authors
- Signorino, M., Pucci, E., Belardinelli, N., Nolfe, G., & Angeleri, F.
- Affiliations
- Azienda Ospedaliero-Universitaria delle Marche (IT)
- National Research Council (IT)
- Corresponding author
- Signorino, M.
- ORCID
- Pucci, E.
- Venue
- Electroencephalography and Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 1995-05
- Volume
- 94
- Issue
- 5
- Pages
- 313-325
- ISSN
- 0013-4694 (ISSN-L)
- OpenAlex
- W2056047917
- Cited by
- 111
- References
- 1
- Citations by year
- 2025: 2 · 2024: 3 · 2023: 1 · 2022: 2 · 2021: 6 · 2020: 2 · 2019: 1 · 2018: 2 · 2017: 5 · 2016: 6 · 2015: 2 · 2014: 4 · 2013: 3 · 2012: 3
- FWCI
- 4.34
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Electroencephalography and Clinical Neurophysiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Keywords
- EEG spectral analysis, Alzheimer's disease, vascular dementia, power spectrum, alpha band, age of disease onset, dementia diagnosis
- MeSH terms
- Aged, Aged, 80 and over, Algorithms, Alzheimer Disease, Analysis of Variance, Diagnosis, Differential, Electroencephalography, Female, Fourier Analysis, Humans, Male, Middle Aged, Signal Processing, Computer-Assisted, Dementia, Vascular, Case-Control Studies
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