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Resting-State EEG captures functional network correlates of plasma p-Tau-217 in Alzheimer's disease
Giordano Cecchetti, Jacopo Lanzone, Luca Zanchi, Giulia Rugarli, Silvia Basaia, Marco Cursi, Federico Coraglia, Edoardo G Spinelli et al.. NeuroImage. Clinical, 2026-01-10
Topic: Plasma and spinal-fluid biomarkers
AD-MCI and AD-DEM patients showed increased p-tau217 and spectral slowing (higher theta, lower alpha). While no correlations survived correction for multiple comparisons, stage-specific analyses revealed positive associations between theta power and p-tau217 in AD-MCI and AD-DEM. A random forest classifier achieved an AUC of 0.75 in predicting p-tau217 positivity. EEG captures functional alterations reflecting AD pathology beyond molecular measures, supporting its value as a complementary, non-invasive biomarker for early stratification in clinical settings.
Key findings
- AD-MCI and AD-DEM patients showed increased p-tau217 and spectral slowing (higher theta, lower alpha).
- While no correlations survived correction for multiple comparisons, stage-specific analyses revealed positive associations between theta power and p-tau217 in AD-MCI and AD-DEM.
- A random forest classifier achieved an AUC of 0.75 in predicting p-tau217 positivity.
- EEG captures functional alterations reflecting AD pathology beyond molecular measures, supporting its value as a complementary, non-invasive biomarker for early stratification in clinical settings.
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Study details
- Participants128
- Evidence strengthLow
How this study scored 54/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. We have no data on journal's citation record, times cited, citations per year, impact for its field and year, cited by studies here, still being cited, senior author's track record, institution's track record, multi-centre collaboration and free to read, so those were left out: it earned 30 of the 56 points we could judge it on, which is 54 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (NeuroImage. Clinical) |
| Journal's citation record | — / 4 | No journal record from OpenAlex — left out of this score |
| 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 | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 2 / 4 | 128 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| 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 | — / 7 | No citation count (not found in OpenAlex) — left out of this score |
| Citations per year | — / 5 | No citation count or no year — left out of this score |
| Impact for its field and year | — / 6 | No field-weighted citation impact (OpenAlex has none yet) — left out of this score |
| Cited by studies here | — / 6 | Not yet checked against this library's citation graph — left out of this score |
| Still being cited | — / 4 | No yearly citation counts — left out of this score |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | — / 3 | No institution listed in OpenAlex — left out of this score |
| Multi-centre collaboration | — / 3 | Institutions not listed — left out of this score |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41534360) |
| Free to read | — / 2 | Access not recorded — left out of this score |
| Points | 30 / 56 | Scored on 10 of 20 parts. We have no data for the rest, so they are left out: 30 of the 56 points we could judge it on is 54 out of 100. |
| Total | 54 / 100 | — |
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APA 7th
Cecchetti, G., Lanzone, J., Zanchi, L., Rugarli, G., Basaia, S., Cursi, M., et al. (2026). Resting-State EEG captures functional network correlates of plasma p-Tau-217 in Alzheimer's disease. NeuroImage. Clinical. https://doi.org/10.1016/j.nicl.2026.103947
Vancouver
Cecchetti G, Lanzone J, Zanchi L, Rugarli G, Basaia S, Cursi M, et al. Resting-State EEG captures functional network correlates of plasma p-Tau-217 in Alzheimer's disease. NeuroImage. Clinical. 2026. doi:10.1016/j.nicl.2026.103947. PMID: 41534360.
BibTeX
@article{cecchetti2026-41534360,
author = {Cecchetti, Giordano and Lanzone, Jacopo and Zanchi, Luca and Rugarli, Giulia and Basaia, Silvia and Cursi, Marco and Coraglia, Federico and Spinelli, Edoardo G and others},
title = {{Resting-State EEG captures functional network correlates of plasma p-Tau-217 in Alzheimer's disease}},
journal = {NeuroImage. Clinical},
year = {2026},
doi = {10.1016/j.nicl.2026.103947},
pmid = {41534360},
url = {https://doi.org/10.1016/j.nicl.2026.103947}
}