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Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders
Kolbeinsson A, Filippi S, Panagakis Y, Matthews PM, Elliott P, Dehghan A, Tzoulaki I.. Scientific reports, 2020-11-17
Topic: Amyloid, tau and blood-test diagnosis
Brain structure in later life reflects both influences of intrinsic aging and those of lifestyle, environment and disease. We developed a deep neural network model trained on brain MRI scans of healthy people to predict "healthy" brain age. Brain regions most informative for the prediction included the cerebellum, hippocampus, amygdala and insular cortex.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Kolbeinsson, A., Filippi, S., Panagakis, Y., Matthews, P. M., Elliott, P., Dehghan, A., et al. (2020). Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders. Scientific reports. https://doi.org/10.1038/s41598-020-76518-z
Vancouver
Kolbeinsson A, Filippi S, Panagakis Y, Matthews PM, Elliott P, Dehghan A, et al. Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders. Scientific reports. 2020. doi:10.1038/s41598-020-76518-z. PMID: 33203906.
BibTeX
@article{kolbeinsson2020-33203906,
author = {Kolbeinsson, A. and Filippi, S. and Panagakis, Y. and Matthews, P. M. and Elliott, P. and Dehghan, A. and Tzoulaki, I.},
title = {{Accelerated MRI-predicted brain ageing and its associations with cardiometabolic and brain disorders}},
journal = {Scientific reports},
year = {2020},
doi = {10.1038/s41598-020-76518-z},
pmid = {33203906},
url = {https://doi.org/10.1038/s41598-020-76518-z}
}
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
- We developed a deep neural network model trained on brain MRI scans of healthy people to predict "healthy" brain age.
- Brain regions most informative for the prediction included the cerebellum, hippocampus, amygdala and insular cortex.
- We then applied this model to data from an independent group of people not stratified for health.
- A phenome-wide association analysis of over 1,410 traits in the UK Biobank with differences between the predicted and chronological ages for the second group identified significant associations with over 40 traits including diseases (e.g., type I and type II diabetes), disease risk factors (e.g., increased diastolic blood pressure and body mass index), and poorer cognitive function.
Why it matters
This study built a deep neural network model from brain MRI scans of healthy people to estimate 'healthy' brain age and then linked the difference between predicted and actual age to many traits in UK Biobank. It is a modeling and association study and does not test any treatment, cure, or prevention for Alzheimer's disease.
Study details
- Evidence strengthLow
How this study scored 46/100
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 (Scientific reports) |
| Journal's citation record | 3 / 4 | Scientific Reports: journal h-index 463 (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 | 2 / 5 | 2020 — within 10 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 | 4 / 7 | Cited 63 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 7.9 citations a year over 8 year(s) since 2020 |
| Impact for its field and year | 3 / 6 | Cited 4.8× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 1 / 6 | Cited by 2 other studies in this library |
| Still being cited | 2 / 4 | Cited 33 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Ioanna Tzoulaki: h-index 93 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | Imperial College London: institution h-index 1,744 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 8 institution(s) in 2 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 33203906) |
| Free to read | 2 / 2 | Free to read |
| Total | 46 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1038/s41598-020-76518-z
- PubMed: 33203906
- Original source →
- Free full text: Scientific Reports →
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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