The DOI matches its Crossref record.
Discrimination of Alzheimer's disease and normal aging by EEG data
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
Klimesch, W. (1999) · Brain Research Reviews · doi:10.1016/s0165-0173(98)00056-3 · Cited by 6,889
Entropy analysis of the EEG background activity in Alzheimer's disease patients
Abásolo, D., Hornero, R., Espino, P., Álvarez, D., & Poza, J. (2006) · Physiological Measurement · doi:10.1088/0967-3334/27/3/003 · Cited by 347
Beta power in the EEG of alcoholics
Rangaswamy, M., Porjesz, B., Chorlian, D. B., Wang, K., Jones, K. A., Bauer, L. O., Rohrbaugh, J., O’Connor, S. J., Kuperman, S., Reich, T., et al. (2002) · Biological Psychiatry · doi:10.1016/s0006-3223(02)01362-8 · Cited by 340
New diagnostic EEG markers of the Alzheimer’s disease using visibility graph
Ahmadlou, M., Adeli, H., & Adeli, A. (2010) · Journal of Neural Transmission · doi:10.1007/s00702-010-0450-3 · Cited by 318
Innovative diagnostic tools for early detection of Alzheimer's disease
Laske, C., Sohrabi, H. R., Frost, S. M., López-de-Ipiña, K., Garrard, P., Buscema, M., Dauwels, J., Soekadar, S. R., Mueller, S., Linnemann, C., et al. (2015) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2014.06.004 · Cited by 316
Metadata
- Authors
- Besthorn, C., Zerfass, R., Geiger-Kabisch, C., Sattel, H., Daniel, S., Schreiter-Gasser, U., & Förstl, H.
- Venue
- Electroencephalography and Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 1997-08
- Volume
- 103
- Issue
- 2
- Pages
- 241-248
- ISSN
- 0013-4694 (ISSN-L)
- OpenAlex
- W2066147361
- Cited by
- 193
- References
- 0
- FWCI
- 1.90
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Discrimination of Alzheimer's disease and normal aging by EEG data. https://app.cochat.ai/papers/10.1016/s0013-4694(97)96562-7
- The paper
- Besthorn, C., Zerfass, R., Geiger-Kabisch, C., Sattel, H., Daniel, S., Schreiter-Gasser, U., & Förstl, H. (1997). Discrimination of Alzheimer's disease and normal aging by EEG data. Electroencephalography and Clinical Neurophysiology. https://doi.org/10.1016/s0013-4694(97)96562-7
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.