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Arterial Spin‐Labeling MRI at the Cortical‐ CSF Interface: A Novel Biomarker in Alzheimer Disease
Mona Asghari Ahmadabad, Pouya Metanat, Michael Thomas, Luke W. Bonham, Tyson Lam, Mehmet Kurt, Hong Nguyen, Tara N. Ellingson et al.. Annals of Clinical and Translational Neurology, 2026-08-07
Topic: Amyloid, tau and blood-test diagnosis
A total of 51 patients with AD, age (median: 73 years) and 53 cognitively normal subjects (median age: 69) were included. Global CBF did not differ between groups. However, IF-perfusion values were significantly lower in AD (median 4.4, IQR 3.2-4.8) than in controls (median 5.2, IQR 4.5-6.3; p < 0.001). In multivariable analysis, AD remained independently associated with lower IF-perfusion after adjustment for age, sex, scanner vendor, and acquisition site (β = -1.88, 95% CI: -3.52 to -0.25; p = 0.025). In LASSO-regularized logistic regression model, only IF-perfusion and cuneus-CBF remained as significant contributing features for the prediction of AD probability with the highest contribution from IF. The final model showed mean ROC-AUC 0.81 in the training and AUC of 0.78 in the testing dataset. ASL-derived IF-perfusion is reduced in AD and may represent a promising imaging marker of altered CSF-adjacent water transport physiology. Further validation against established biomarkers of CSF dynamics and clearance pathways is warranted.
Key findings
- A total of 51 patients with AD, age (median: 73 years) and 53 cognitively normal subjects (median age: 69) were included.
- Global CBF did not differ between groups.
- However, IF-perfusion values were significantly lower in AD (median 4.4, IQR 3.2-4.8) than in controls (median 5.2, IQR 4.5-6.3; p < 0.001).
- In multivariable analysis, AD remained independently associated with lower IF-perfusion after adjustment for age, sex, scanner vendor, and acquisition site (β = -1.88, 95% CI: -3.52 to -0.25; p = 0.025).
- In LASSO-regularized logistic regression model, only IF-perfusion and cuneus-CBF remained as significant contributing features for the prediction of AD probability with the highest contribution from IF.
Why it matters
In 51 patients with AD and 53 cognitively normal subjects, global cerebral blood flow did not differ between groups, but perfusion at the cortical-CSF interface was significantly lower in AD and contributed most to predicting AD probability. The authors state that further validation against established biomarkers of CSF dynamics and clearance pathways is warranted, so this is an early imaging marker finding, not a treatment or cure.
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Study details
- Participants51
- Effect sizeAUC 0.81
- Evidence strengthLow
How this study scored 41/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Annals of Clinical and Translational Neurology) |
| Journal's citation record | 1 / 4 | Annals of Clinical and Translational Neurology: journal h-index 97 (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 | 1 / 4 | 51 participants |
| Effect reported | 3 / 3 | Effect reported with a statistic (interval, p-value, ratio or similar) |
| 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 | 0 / 7 | Cited 0 times (OpenAlex, 2026-10-10) |
| Citations per year | 0 / 5 | 0.0 citations a year over 2 year(s) since 2026 |
| Impact for its field and year | 0 / 6 | Cited 0.0× 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 0 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 2 / 4 | Last-listed author Kambiz Nael: h-index 39 (OpenAlex, whole career) |
| Institution's track record | 3 / 3 | University of Washington: institution h-index 3,540 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 3 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 42563554) |
| Free to read | 2 / 2 | Free to read |
| Total | 41 / 100 | — |
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Read the original
- DOI: 10.1002/acn3.70498
- PubMed: 42563554
- Original source →
- Free full text: Annals of Clinical and Translational Neurology →
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. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Ahmadabad, M. A., Metanat, P., Thomas, M., Bonham, L. W., Lam, T., Kurt, M., et al. (2026). Arterial Spin‐Labeling MRI at the Cortical‐ CSF Interface: A Novel Biomarker in Alzheimer Disease. Annals of Clinical and Translational Neurology. https://doi.org/10.1002/acn3.70498
Vancouver
Ahmadabad MA, Metanat P, Thomas M, Bonham LW, Lam T, Kurt M, et al. Arterial Spin‐Labeling MRI at the Cortical‐ CSF Interface: A Novel Biomarker in Alzheimer Disease. Annals of Clinical and Translational Neurology. 2026. doi:10.1002/acn3.70498. PMID: 42563554.
BibTeX
@article{ahmadabad2026-42563554,
author = {Ahmadabad, Mona Asghari and Metanat, Pouya and Thomas, Michael and Bonham, Luke W. and Lam, Tyson and Kurt, Mehmet and Nguyen, Hong and Ellingson, Tara N. and others},
title = {{Arterial Spin‐Labeling MRI at the Cortical‐ CSF Interface: A Novel Biomarker in Alzheimer Disease}},
journal = {Annals of Clinical and Translational Neurology},
year = {2026},
doi = {10.1002/acn3.70498},
pmid = {42563554},
url = {https://doi.org/10.1002/acn3.70498}
}
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