The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Late-Onset Depression with Mild Cognitive Deficits: Electrophysiological Evidences for a Preclinical Dementia Syndrome
Abstract
Mild cognitive impairment (MCI) is present in up to 60% of patients with late-onset depression and constitutes a major diagnostic problem in geriatric psychiatry. Searching for sensitive markers for the detection of early brain changes suggestive of dementia, we compared this depressive risk population with mildly to moderately demented patients and cognitively unimpaired depressed patients using EEG power and coherence. We found a considerable similarity between Alzheimer’s disease patients and cognitively impaired depressed patients regarding the cognitive profile and EEG pattern. Changes in EEG power and coherence at frontotemporal leads in depressive patients with MCI thereby allowed discrimination from cognitively unimpaired patients with a sensitivity of 88% and a specifity of 81%.
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A predictive accuracy of 90% considering the basic EEG characteristics and the probability of future decline in MCI subjects has been shown.
“A predictive accuracy of 90% considering the basic EEG characteristics and the probability of future decline in MCI subjects has been shown. 54 , 55 , 56 , 57”
Citations
Cites
Profound Loss of Layer II Entorhinal Cortex Neurons Occurs in Very Mild Alzheimer’s Disease
Gómez-Isla, T., Price, J. L., McKeel Jr., D. W., Morris, J. C., Growdon, J. H., & Hyman, B. T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-14-04491.1996 · Cited by 1,796
Evolution of the neuropathology of Alzheimer's disease
Braak, H., & Braak, E. (1996) · Acta Neurologica Scandinavica · doi:10.1111/j.1600-0404.1996.tb05866.x · Cited by 710
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Babiloni, C., Triggiani, A. I., Lizio, R., Cordone, S., Tattoli, G., Bevilacqua, V., Soricelli, A., Ferri, R., Nobili, F., Gesualdo, L., et al. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00047 · Cited by 106
“They reported classification rates between 82 and 90% using advanced mathematical classifiers including the ANNs (Anderer et al., 1994; Pritchard et al., 1994; Adler et al., 2003; Brassen et al., 2004; Lehmann et al., 2007; Dauwels et al., 2009).”
MethodResultRossini, P. M., Miraglia, F., & Vecchio, F. (2022) · Alzheimer's & Dementia · doi:10.1002/alz.12645 · Cited by 93
Metadata
- Authors
- Brassen, S., Braus, D. F., Weber-Fahr, W., Tost, H., Moritz, S., & Adler, G.
- Affiliations
- Universität Hamburg (DE)
- Central Institute of Mental Health (DE)
- Venue
- Dementia and Geriatric Cognitive Disorders
- Publisher
- S. Karger AG
- Published
- 2004
- Volume
- 18
- Issue
- 3-4
- Pages
- 271-277
- ISSN
- 1420-8008 (ISSN-L)
- 1421-9824
- OpenAlex
- W2083634661
- Cited by
- 43
- References
- 2
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 2 · 2022: 4 · 2020: 1 · 2019: 1 · 2018: 4 · 2017: 3 · 2016: 1 · 2015: 6 · 2014: 3 · 2013: 1 · 2012: 1
- FWCI
- 1.04
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Dementia and Geriatric Cognitive Disorders (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
- Life Sciences › Neuroscience › Neurology › Transcranial Magnetic Stimulation Studies
- Keywords
- late-onset depression, mild cognitive impairment, preclinical dementia, Alzheimer's disease, EEG spectral power, EEG coherence, dementia risk, diagnostic biomarkers, geriatric psychiatry
- MeSH terms
- Aged, Alzheimer Disease, Brain, Cognition Disorders, Major Depressive Disorder, Electrocardiography, Electroencephalography, Female, Humans, Male, Severity of Illness Index, Tomography, X-Ray Computed, Comorbidity, Prevalence, Age of Onset, International Classification of Diseases
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