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Imaging plus X: multimodal models of neurodegenerative disease
Oxtoby NP, Alexander DC, EuroPOND consortium.. Current opinion in neurology, 2017-08-01
Topic: Brain proteins, microglia and lab models
These models have revealed insights into frontotemporal dementia, Huntington's disease, multiple sclerosis, Parkinson's disease and other conditions. For example, event-based models have revealed finer graded understanding of progression patterns; self-modelling regression and differential equation models have provided data-driven biomarker trajectories; spatiotemporal models have shown that brain shape changes, for example of the hippocampus, can occur before detectable neurodegeneration; and network models have provided some support for prion-like mechanistic hypotheses of disease propagation. The most mature results are in sporadic Alzheimer's disease, in large part because of the availability of the Alzheimer's disease neuroimaging initiative dataset. Results generally support the prevailing amyloid-led hypothetical model of Alzheimer's disease, while revealing finer detail and insight into disease progression.
Key findings
- These models have revealed insights into frontotemporal dementia, Huntington's disease, multiple sclerosis, Parkinson's disease and other conditions.
- For example, event-based models have revealed finer graded understanding of progression patterns; self-modelling regression and differential equation models have provided data-driven biomarker trajectories; spatiotemporal models have shown that brain shape changes, for example of the hippocampus, can occur before detectable neurodegeneration; and network models have provided some support for prion-like mechanistic hypotheses of disease propagation.
- The most mature results are in sporadic Alzheimer's disease, in large part because of the availability of the Alzheimer's disease neuroimaging initiative dataset.
- Results generally support the prevailing amyloid-led hypothetical model of Alzheimer's disease, while revealing finer detail and insight into disease progression.
Why it matters
Multimodal models have provided insights into disease progression in Alzheimer's and other neurodegenerative diseases, generally supporting the amyloid-led hypothetical model. These models are for understanding disease mechanisms and progression, not for treating, curing, or preventing Alzheimer's disease.
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Study details
- Study designlongitudinal study
- Evidence strengthModerate
How this study scored 55/100
Published in a peer-reviewed journal, and it is a longitudinal study following the same people over time. Scored zero for 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 (Current opinion in neurology) |
| Journal's citation record | 2 / 4 | Current Opinion in Neurology: journal h-index 165 (OpenAlex, 2026-10-29) |
| Study design | 7 / 12 | A longitudinal study following the same people over time |
| 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 | 2 / 5 | 2017 — 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 | 5 / 7 | Cited 108 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 9.8 citations a year over 11 year(s) since 2017 |
| Impact for its field and year | 3 / 6 | Cited 7.8× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 6 other studies in this library |
| Still being cited | 2 / 4 | Cited 27 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Daniel C. Alexander: h-index 93 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University College London: institution h-index 2,029 (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 28520598) |
| Free to read | 2 / 2 | Free to read |
| Total | 55 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1097/wco.0000000000000460
- PubMed: 28520598
- Original source →
- Free full text: Current Opinion in 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. Check the citation against the original before you use it.
APA 7th
Oxtoby, N. P., Alexander, D. C., & EuroPOND consortium. (2017). Imaging plus X: multimodal models of neurodegenerative disease. Current opinion in neurology. https://doi.org/10.1097/wco.0000000000000460
Vancouver
Oxtoby NP, Alexander DC, EuroPOND consortium. Imaging plus X: multimodal models of neurodegenerative disease. Current opinion in neurology. 2017. doi:10.1097/wco.0000000000000460. PMID: 28520598.
BibTeX
@article{oxtoby2017-28520598,
author = {Oxtoby, N. P. and Alexander, D. C. and {EuroPOND consortium}},
title = {{Imaging plus X: multimodal models of neurodegenerative disease}},
journal = {Current opinion in neurology},
year = {2017},
doi = {10.1097/wco.0000000000000460},
pmid = {28520598},
url = {https://doi.org/10.1097/wco.0000000000000460}
}
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