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Classifying mild cognitive impairment from normal cognition: fMRI complexity matches tau PET performance
Kay Jann, Gilsoon Park, John Matthew Ringman, Hosung Kim. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring, 2025-07-01
Topic: Brain proteins, microglia and lab models
The fMRI entropy classifier matched the tau PET model in accuracy and outperformed it in F1 score (0.64 vs. 0.61) and area under the curve (AUC; 0.73 vs. 0.67). On the independent external validation dataset (EEAJ), fMRI sample entropy showed a comparable F1 score (0.88) to tau PET (0.88) and achieved a notably higher AUC (0.94 vs. 0.92). Our findings suggest that fMRI entropy could be a non-invasive imaging marker alternative to tau PET for detecting AD-related cognitive impairment. Highlights: Functional magnetic resonance imaging (fMRI) complexity matches tau positron emission tomography (PET) in classifying cognitive impairment.Sample entropy and multiscale entropy were used for fMRI-based Alzheimer's disease (AD) classification.3D convolutional neural networks models achieve up to 84% accuracy using fMRI complexity measures.The dorsal attention network was identified as critical for distinguishing mild cognitive impairment/AD.fMRI complexity offers a non-invasive alternative to tau positron emission tomography imaging.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Jann, K., Park, G., Ringman, J. M., & Kim, H. (2025). Classifying mild cognitive impairment from normal cognition: fMRI complexity matches tau PET performance. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. https://doi.org/10.1002/dad2.70159
Vancouver
Jann K, Park G, Ringman JM, Kim H. Classifying mild cognitive impairment from normal cognition: fMRI complexity matches tau PET performance. Alzheimer s & Dementia Diagnosis Assessment & Disease Monitoring. 2025. doi:10.1002/dad2.70159. PMID: 40799842.
BibTeX
@article{jann2025-40799842,
author = {Jann, Kay and Park, Gilsoon and Ringman, John Matthew and Kim, Hosung},
title = {{Classifying mild cognitive impairment from normal cognition: fMRI complexity matches tau PET performance}},
journal = {Alzheimer s \& Dementia Diagnosis Assessment \& Disease Monitoring},
year = {2025},
doi = {10.1002/dad2.70159},
pmid = {40799842},
url = {https://doi.org/10.1002/dad2.70159}
}
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.
Key findings
- The fMRI entropy classifier matched the tau PET model in accuracy and outperformed it in F1 score (0.64 vs. 0.61) and area under the curve (AUC; 0.73 vs. 0.67).
- On the independent external validation dataset (EEAJ), fMRI sample entropy showed a comparable F1 score (0.88) to tau PET (0.88) and achieved a notably higher AUC (0.94 vs. 0.92).
- Our findings suggest that fMRI entropy could be a non-invasive imaging marker alternative to tau PET for detecting AD-related cognitive impairment.
- Highlights: Functional magnetic resonance imaging (fMRI) complexity matches tau positron emission tomography (PET) in classifying cognitive impairment.Sample entropy and multiscale entropy were used for fMRI-based Alzheimer's disease (AD) classification.3D convolutional neural networks models achiev
Why it matters
This study found that an fMRI-based measure of brain complexity classified mild cognitive impairment about as accurately as tau PET imaging. This suggests fMRI entropy could serve as a non-invasive alternative to tau PET for detecting cognitive impairment related to Alzheimer's disease.
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Study details
- Evidence strengthModerate
How this study scored 38/100
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 (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 | 3 / 5 | Rated “moderate” 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 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 1.9× 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 | 2 / 4 | Last-listed author Hosung Kim: h-index 37 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University of Southern California: institution h-index 1,521 (OpenAlex) |
| Multi-centre collaboration | 0 / 3 | OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete) |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 40799842) |
| Free to read | 2 / 2 | Free to read |
| Total | 38 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1002/dad2.70159
- PubMed: 40799842
- 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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