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Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration
Levin F, Ferreira D, Lange C, Dyrba M, Westman E, Buchert R, Teipel SJ, Grothe MJ et al.. Alzheimer's research & therapy, 2021-02-19
Topic: Amyloid, tau and blood-test diagnosis
Background Previous research has described distinct subtypes of Alzheimer's disease (AD) based on the differences in regional patterns of brain atrophy on MRI. We conducted a data-driven exploration of distinct AD neurodegeneration subtypes using FDG-PET as a sensitive molecular imaging marker of neurodegenerative processes. Methods Hierarchical clustering of voxel-wise FDG-PET data from 177 amyloid-positive patients with AD dementia enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI) was used to identify distinct hypometabolic subtypes of AD, which were then further characterized with respect to clinical and biomarker characteristics.
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APA 7th
Levin, F., Ferreira, D., Lange, C., Dyrba, M., Westman, E., Buchert, R., et al. (2021). Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration. Alzheimer's research & therapy. https://doi.org/10.1186/s13195-021-00785-9
Vancouver
Levin F, Ferreira D, Lange C, Dyrba M, Westman E, Buchert R, et al. Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration. Alzheimer's research & therapy. 2021. doi:10.1186/s13195-021-00785-9. PMID: 33608059.
BibTeX
@article{levin2021-33608059,
author = {Levin, F. and Ferreira, D. and Lange, C. and Dyrba, M. and Westman, E. and Buchert, R. and Teipel, S. J. and Grothe, M. J. and others},
title = {{Data-driven FDG-PET subtypes of Alzheimer's disease-related neurodegeneration}},
journal = {Alzheimer's research \& therapy},
year = {2021},
doi = {10.1186/s13195-021-00785-9},
pmid = {33608059},
url = {https://doi.org/10.1186/s13195-021-00785-9}
}
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Key findings
- We conducted a data-driven exploration of distinct AD neurodegeneration subtypes using FDG-PET as a sensitive molecular imaging marker of neurodegenerative processes.
- Methods Hierarchical clustering of voxel-wise FDG-PET data from 177 amyloid-positive patients with AD dementia enrolled in the Alzheimer's Disease Neuroimaging Initiative (ADNI) was used to identify distinct hypometabolic subtypes of AD, which were then further characterized with respect to clinical and biomarker characteristics.
- We then classified FDG-PET scans of 217 amyloid-positive patients with mild cognitive impairment ("prodromal AD") according to the identified subtypes and studied their domain-specific cognitive trajectories and progression to dementia over a follow-up interval of up to 72 months.
- Results Three main hypometabolic subtypes were identified: (i) "typical" (48.6%), showing a classic posterior temporo-parietal hypometabolic pattern; (ii) "limbic-predominant" (44.6%), characterized by old age and a memory-predominant cognitive profile; and (iii) a relatively rare "cortical-predominant" subtype (6.8%) characterized by younger age and more severe executive dysfunction.
Why it matters
This study used FDG-PET data and clustering to identify distinct hypometabolic subtypes of Alzheimer's disease-related neurodegeneration. It describes subtypes of brain metabolism, not a treatment, cure or prevention.
Study details
- Effect size48.6%; 44.6%; 6.8%
- Evidence strengthLow
How this study scored 51/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, studied in people and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 49 of the 96 points we could judge it on, which is 51 out of 100.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Alzheimer's research & therapy) |
| Journal's citation record | 1 / 4 | Alzheimer s Research & Therapy: journal h-index 146 (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 | 3 / 5 | 2021 — within 6 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 | 2 / 3 | Effect reported as a number, without an interval or test |
| 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 | 5 / 7 | Cited 109 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 15.6 citations a year over 7 year(s) since 2021 |
| Impact for its field and year | 4 / 6 | Cited 11.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 7 other studies in this library |
| Still being cited | 3 / 4 | Cited 66 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | — / 4 | Senior author's record not available — left out of this score |
| Institution's track record | 1 / 3 | Karolinska Institutet: institution h-index 1,477 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 13 institution(s) in 4 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 33608059) |
| Free to read | 2 / 2 | Free to read |
| Points | 49 / 96 | Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 49 of the 96 points we could judge it on is 51 out of 100. |
| Total | 51 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1186/s13195-021-00785-9
- PubMed: 33608059
- Original source →
- Free full text: Alzheimer s Research & Therapy →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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