Quantitative EEG in Frontotemporal Dementia
Abstract
Accurate diagnosis of the major degenerative dementias continues to be problematic. Although diagnostic precision for Alzheimer's disease (AD) approaches 90%, for Frontotemporal dementias (FTD) it has been less than 20%. Previous work has shown that AD patients have both focal and generalized slowing, while in FTD the EEG is normal. We studied 26AD,13FTD and 27 health control subjects with Quantitative Electroencephalography (QEEG). Using only five QEEG measures with stepwise discriminant function analysis, we distinguished the AD from FTD groups each with 84.6% accuracy, and controls (100%) from FTD groups (84.6%) with high accuracy. The most informative QEEG variables for distinguishing FTD and AD were relative power from the temporal region in beta-2 band, and from the parietal region in the theta and alpha and beta-2 bands. These results suggest that QEEG may be helpful in distinguishing subjects with AD from subjects with FTD.
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AD and FTD are often misdiagnosed.
“AD and FTD are often misdiagnosed, so the need for a better way of differentiating these diseases is crucial [7].”
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 [7]
Cites
EEG Brain Mapping in Diagnostic and Therapeutic Assessment of Dementia
Saletu, B., Anderer, P., Paulus, E., Gr??nberger, J., Wicke, L., Neuhold, A., Fischhof, P. K., & Litschauer, G. (1991) · Alzheimer Disease & Associated Disorders · doi:10.1097/00002093-199100051-00010 · Cited by 72 · 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
Dottori, M., Sedeño, L., Martorell Caro, M., Alifano, F., Hesse, E., Mikulan, E., García, A. M., Ruiz-Tagle, A., Lillo, P., Slachevsky, A., et al. (2017) · Scientific Reports · doi:10.1038/s41598-017-04204-8 · Cited by 73 · see citing works
- Authors
- Yener, G. G., Leuchter, A. F., Jenden, D., Read, S. L., Cummings, J. L., & Miller, B. L.
- Affiliations
- Department of Neurology, Dokuz Eylul University Faculty of Medicine, Izmir Turkey
- University of California, Los Angeles (US)
- Venue
- Clinical Electroencephalography
- Publisher
- SAGE Publications
- Published
- 1996-04
- Volume
- 27
- Issue
- 2
- Pages
- 61-68
- ISSN
- 0009-9155 (ISSN-L)
- OpenAlex
- W1987894658
- Cited by
- 71
- References
- 1
- Citations by year
- 2025: 4 · 2023: 3 · 2022: 3 · 2021: 4 · 2019: 5 · 2018: 1 · 2017: 3 · 2016: 3 · 2015: 2 · 2014: 2 · 2013: 4 · 2012: 3
- FWCI
- 0.95
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Clinical Electroencephalography (publishedVersion)
- PubMed (publishedVersion)
- Funders
- National Institutes of Health (5r01mh040705-13)
- National Institute on Aging (AG 10123, P30AG010123)
- National Institute of Mental Health (MH 40705, MH5567-02)
- Topics
- Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
- Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Keywords
- frontotemporal dementia, Alzheimer's disease, quantitative EEG, differential diagnosis of dementia, relative power, theta band, alpha band, temporal lobe, parietal lobe, discriminant function analysis
- MeSH terms
- Alpha Rhythm, Alzheimer Disease, Dementia, Diagnosis, Differential, Dominance, Cerebral, Electroencephalography, Fourier Analysis, Frontal Lobe, Humans, Parietal Lobe, Signal Processing, Computer-Assisted, Temporal Lobe
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