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Dementia classification using two-channel electroencephalography features
Kuk‐In Jang, Yeong In Kim, Hyo Jin Ju, Sang Joon An, Pyong Woon Park. Scientific Reports, 2025-04-03
Topic: Risk, prevention and care in population studies
This study aimed to develop a novel classification model using wearable two-channel electroencephalography (EEG) data to differentiate between patients with dementia and normal controls (NCs). We employed an extreme gradient boosting (Xgboost) model combined with recursive feature elimination with cross-validation (RFECV) to classify patients and NCs. The study included 54 NCs and 29 patients with dementia. Resting-state EEG was recorded, and Mini-Mental Status Exam (MMSE) and Clinical Dementia Rating (CDR) assessments were conducted. Significant differences were observed in peak frequency (PF), alpha (A), theta (T), the ratio of alpha to theta (A/T), the ratio of alpha to low-beta (A/BL), and coherence (CH) between patients and NCs. Patients with dementia exhibited decreases in PF, CH_A/T, CH_A/BL, A/T, and A/BL, while an increase in T was noted. The primary finding was that the Xgboost model, a tree ensemble classification, achieved a balanced accuracy of 97.05% with the RFECV-selected feature, which was PF. This study suggests that the novel Xgboost with RFECV classification model using two-channel EEG data could be a valuable tool for diagnosing dementia.
Key findings
- Significant differences were observed in peak frequency (PF), alpha (A), theta (T), the ratio of alpha to theta (A/T), the ratio of alpha to low-beta (A/BL), and coherence (CH) between patients and NCs.
- This study suggests that the novel Xgboost with RFECV classification model using two-channel EEG data could be a valuable tool for diagnosing dementia.
Why it matters
Using two-channel wearable EEG in 54 normal controls and 29 patients with dementia, this study found significant differences in several EEG features and a classification model that achieved a balanced accuracy of 97.05%. The authors suggest this could be a valuable diagnostic tool, but it is a diagnostic study, not a treatment, cure, or prevention.
Study details
- Participants54
- Effect size97.05%
- Evidence strengthLow
How this study scored 43/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 41 of the 96 points we could judge it on, which is 43 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Scientific Reports) |
| Journal's citation record | 3 / 4 | Scientific Reports: journal h-index 463 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2025 — within 3 year(s) of the newest study here |
| Sample size | 1 / 4 | 54 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| Studied in people | 3 / 3 | Studied in people (participant count stated) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 3 times (OpenAlex, 2026-10-10) |
| Citations per year | 1 / 5 | 1.0 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 2 / 6 | Cited 1.7× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 1 / 4 | Cited 3 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | OpenAlex's profile for last-listed author Pyong Woon Park holds only 1 work(s), too few to judge a track record — left out of this score |
| Institution's track record | 0 / 3 | Catholic Kwandong University: institution h-index 125 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 40181000) |
| Free to read | 2 / 2 | Free to read |
| Points | 41 / 96 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 41 of the 96 points we could judge it on is 43 out of 100. |
| Total | 43 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1038/s41598-025-93513-4
- PubMed: 40181000
- Original source →
- Free full text: Scientific Reports →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. Check the citation against the original before you use it.
APA 7th
Jang, K., Kim, Y. I., Ju, H. J., An, S. J., & Park, P. W. (2025). Dementia classification using two-channel electroencephalography features. Scientific Reports. https://doi.org/10.1038/s41598-025-93513-4
Vancouver
Jang K, Kim YI, Ju HJ, An SJ, Park PW. Dementia classification using two-channel electroencephalography features. Scientific Reports. 2025. doi:10.1038/s41598-025-93513-4. PMID: 40181000.
BibTeX
@article{jang2025-40181000,
author = {Jang, Kuk‐In and Kim, Yeong In and Ju, Hyo Jin and An, Sang Joon and Park, Pyong Woon},
title = {{Dementia classification using two-channel electroencephalography features}},
journal = {Scientific Reports},
year = {2025},
doi = {10.1038/s41598-025-93513-4},
pmid = {40181000},
url = {https://doi.org/10.1038/s41598-025-93513-4}
}
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