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EEG network reorganization across Alzheimer's disease, frontotemporal dementia, and dementia with Lewy bodies
Alberto Benussi, Valentina Cantoni, Federica Palacino, Daniele Altomare, Davide Vito Moretti, Paolo Manganotti, Barbara Borroni. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, 2026-01-01
Topic: Brain proteins, microglia and lab models
AD showed canonical slowing with delta/theta increases and posterior alpha loss. FTD exhibited preserved alpha but frontal beta reductions, while DLB displayed delta/theta excess, posterior alpha attenuation, and uniquely reduced gamma. Connectivity analyses revealed syndrome-specific patterns of network reorganization with distinct frequency-dependent signatures. EEG network metrics capture distinct disease signatures and may inform mechanistic models of dementia.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Benussi, A., Cantoni, V., Palacino, F., Altomare, D., Moretti, D. V., Manganotti, P., et al. (2026). EEG network reorganization across Alzheimer's disease, frontotemporal dementia, and dementia with Lewy bodies. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. https://doi.org/10.1002/dad2.70275
Vancouver
Benussi A, Cantoni V, Palacino F, Altomare D, Moretti DV, Manganotti P, et al. EEG network reorganization across Alzheimer's disease, frontotemporal dementia, and dementia with Lewy bodies. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 2026. doi:10.1002/dad2.70275. PMID: 41700307.
BibTeX
@article{benussi2026-41700307,
author = {Benussi, Alberto and Cantoni, Valentina and Palacino, Federica and Altomare, Daniele and Moretti, Davide Vito and Manganotti, Paolo and Borroni, Barbara},
title = {{EEG network reorganization across Alzheimer's disease, frontotemporal dementia, and dementia with Lewy bodies}},
journal = {Alzheimer s \& Dementia Diagnosis Assessment \& Disease Monitoring},
year = {2026},
doi = {10.1002/dad2.70275},
pmid = {41700307},
url = {https://doi.org/10.1002/dad2.70275}
}
Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record names 7 authors; APA and Vancouver show the first six, BibTeX and the downloads carry all of them. Check the citation against the original before you use it.
Key findings
- AD showed canonical slowing with delta/theta increases and posterior alpha loss.
- FTD exhibited preserved alpha but frontal beta reductions, while DLB displayed delta/theta excess, posterior alpha attenuation, and uniquely reduced gamma.
- Connectivity analyses revealed syndrome-specific patterns of network reorganization with distinct frequency-dependent signatures.
- EEG network metrics capture distinct disease signatures and may inform mechanistic models of dementia.
Why it matters
EEG showed distinct patterns of network reorganization in Alzheimer's disease, frontotemporal dementia, and dementia with Lewy bodies, such as alpha loss in Alzheimer's and uniquely reduced gamma in dementia with Lewy bodies. The authors say these metrics may inform mechanistic models of dementia, but this is about understanding and distinguishing diseases, not treatment.
Study details
- Participants173
- Evidence strengthLow
How this study scored 42/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring) |
| Journal's citation record | 1 / 4 | Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring: journal h-index 86 (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 | 5 / 5 | 2026 — within 1 year(s) of the newest study here |
| Sample size | 2 / 4 | 173 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 | 1 / 7 | Cited 1 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.5 citations a year over 2 year(s) since 2026 |
| Impact for its field and year | 3 / 6 | Cited 4.7× 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 | 0 / 4 | Cited 1 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Barbara Borroni: h-index 88 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | University of Trieste: institution h-index 638 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 5 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 41700307) |
| Free to read | 2 / 2 | Free to read |
| Total | 42 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1002/dad2.70275
- PubMed: 41700307
- Original source →
- Free full text: Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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Referenced by this study and also in the alzhub library, so you can read them here.
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