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Neurodetector: EEG-Based Cognitive Assessment Using Event-Related Potentials as a Virtual Switch
Ryohei P HASEGAWA, Shinya Watanabe. Brain Sciences, 2025-08-27
Topic: Risk, prevention and care in population studies
The participants controlled the EEG Switch above chance level across all tasks. Success rates correlated with task difficulty and showed individual differences, suggesting that cognitive ability influences performance. In addition, we compared the pattern-matching method for ERP decoding with the conventional peak-based approaches. The pattern-matching method yielded a consistently higher accuracy and was more sensitive to task complexity and individual variability. These results support the potential of the EEG Switch as a reliable, non-motor-dependent cognitive assessment tool. The system is especially useful for populations with limited motor control, such as the elderly or individuals with physical disabilities. While Mild Cognitive Impairment (MCI) is an important future target for application, the present study involved only healthy adult participants. Future research should examine the sources of individual differences and validate EEG switches in clinical contexts, including clinical trials involving MCI and dementia patients. Our findings lay the groundwork for a novel and accessible approach for cognitive evaluation using neurophysiological data.
Key findings
- The participants controlled the EEG Switch above chance level across all tasks.
- Success rates correlated with task difficulty and showed individual differences, suggesting that cognitive ability influences performance.
- In addition, we compared the pattern-matching method for ERP decoding with the conventional peak-based approaches.
- The pattern-matching method yielded a consistently higher accuracy and was more sensitive to task complexity and individual variability.
- These results support the potential of the EEG Switch as a reliable, non-motor-dependent cognitive assessment tool.
Why it matters
This study found that healthy adult participants could control an EEG-based switch above chance level, supporting its potential as a non-motor-dependent cognitive assessment tool. The study involved only healthy adults, so it is preliminary and does not yet show any use in treating, curing or preventing Alzheimer's disease.
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Study details
- Evidence strengthLow
How this study scored 35/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Brain Sciences) |
| Journal's citation record | 1 / 4 | Brain Sciences: journal h-index 115 (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 | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 1 / 7 | Cited 2 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.7 citations a year over 3 year(s) since 2025 |
| Impact for its field and year | 2 / 6 | Cited 1.1× 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 | 0 / 4 | Cited 2 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Shinya Watanabe: h-index 33 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Nagoya University: institution h-index 758 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 6 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41008292) |
| Free to read | 2 / 2 | Free to read |
| Total | 35 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
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
HASEGAWA, R. P., & Watanabe, S. (2025). Neurodetector: EEG-Based Cognitive Assessment Using Event-Related Potentials as a Virtual Switch. Brain Sciences. https://doi.org/10.3390/brainsci15090931
Vancouver
HASEGAWA RP, Watanabe S. Neurodetector: EEG-Based Cognitive Assessment Using Event-Related Potentials as a Virtual Switch. Brain Sciences. 2025. doi:10.3390/brainsci15090931. PMID: 41008292.
BibTeX
@article{hasegawa2025-41008292,
author = {HASEGAWA, Ryohei P and Watanabe, Shinya},
title = {{Neurodetector: EEG-Based Cognitive Assessment Using Event-Related Potentials as a Virtual Switch}},
journal = {Brain Sciences},
year = {2025},
doi = {10.3390/brainsci15090931},
pmid = {41008292},
url = {https://doi.org/10.3390/brainsci15090931}
}
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