Quantitative Electroencephalography Analyzed by Statistical Pattern Recognition as a Diagnostic and Prognostic Tool in Mild Cognitive Impairment: Results from a Nordic Multicenter Cohort Study
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Aim: To examine diagnostic and prognostic potential of quantitative electroencephalography (qEEG) analyzed by the statistical pattern recognition (SPR) method in patients with cognitive impairment. We compared the differential diagnostic ability of SPR to visual EEG analysis. Correlation between SPR findings and cerebrospinal fluid (CSF) Alzheimer disease (AD) biomarkers were evaluated. Methods: It is a multicenter cohort study involving 129 patients, (mild cognitive impairment [MCI], AD, and healthy controls). Standardized EEG was performed at baseline. Patients were continuously clinically evaluated. Results: Receiver Operating Characteristic curves showed a low discriminative ability of SPR and no ability to predict clinical progression in patients with MCI. Moderate correlation between SPR analysis and CSF AD biomarkers was found. Conclusion: The diagnostic and prognostic abilities of qEEG were low. The SPR method was superior to the visual EEG analysis. The qEEG method correlates well to CSF AD biomarkers, suggesting association with pathology in AD.
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QEEG is a valuable tool to assess the electrophysiological changes related to cognitive impairment or dementia.
“Other studies and our results suggest that QEEG is a valuable tool to assess the electrophysiological changes related to cognitive impairment or dementia [47].”
From QEEG Signatures are Associated with Nonmotor Dysfunctions in Parkinson's Disease and Atypical Parkinsonism: An Integrative Analysis (2023) · cites this paper as [47]
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- Authors
- Schjønning Nielsen, M., Simonsen, A. H., Siersma, V., Engedal, K., Jelic, V., Andersen, B. B., Naik, M., Hasselbalch, S. G., & Høgh, P.
- Affiliations
- University of Copenhagen (DK)
- Sykehuset i Vestfold (NO)
- Zealand University Hospital (DK)
- Venue
- Dementia and Geriatric Cognitive Disorders Extra
- Publisher
- S. Karger AG
- Published
- 2018-11-27
- Volume
- 8
- Issue
- 3
- Pages
- 426-438
- ISSN
- 1664-5464 (ISSN-L)
- PMC
- PMC6323395
- OpenAlex
- W2903470474
- Cited by
- 15
- References
- 37
- Citations by year
- 2025: 1 · 2024: 1 · 2022: 3 · 2021: 3 · 2020: 5 · 2019: 2
- FWCI
- 1.97
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Dementia and Geriatric Cognitive Disorders Extra (publishedVersion, cc-by-nc-nd)
- Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by-nc-nd)
- PubMed (publishedVersion)
- Research at the University of Copenhagen (University of Copenhagen) (publishedVersion, cc-by-nc-nd)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion)
- Funders
- Velux Fonden
- 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
- quantitative EEG, statistical pattern recognition, mild cognitive impairment, Alzheimer's disease, cerebrospinal fluid biomarkers, differential diagnosis, diagnostic accuracy
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