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Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline
Risacher SL, Anderson WH, Charil A, Castelluccio PF, Shcherbinin S, Saykin AJ, Schwarz AJ, Alzheimer's Disease Neuroimaging Initiative.. Neurology, 2017-10-25
Topic: Amyloid, tau and blood-test diagnosis
Objective To test the hypothesis that cortical and hippocampal volumes, measured in vivo from volumetric MRI (vMRI) scans, could be used to identify variant subtypes of Alzheimer disease (AD) and to prospectively predict the rate of clinical decline. Methods Amyloid-positive participants with AD from the Alzheimer's Disease Neuroimaging Initiative (ADNI) 1 and ADNI2 with baseline MRI scans (n = 229) and 2-year clinical follow-up (n = 100) were included. AD subtypes (hippocampal sparing [HpSp MRI ], limbic predominant [LP MRI ], typical AD [tAD MRI ]) were defined according to an algorithm analogous to one recently proposed for tau neuropathology. Relationships between baseline hippocampal volume to cortical volume ratio (HV:CTV) and clinical variables were examined by both continuous regression and categorical models. Results When participants were divided categorically, the HpSp MRI group showed significantly more AD-like hypometabolism on 18 F-fluorodeoxyglucose-PET ( p p MRI also showed faster subsequent clinical decline than participants with LP MRI on the Alzheimer's Disease Assessment Scale, 13-Item Subscale (ADAS-Cog 13 ), Mini-Mental State Examination (MMSE), and Functional Assessment Questionnaire (all p MRI on the MMSE and Clinical Dementia Rating Sum of Boxes (CDR-SB) (both p 13 score ( p Conclusions AD subtypes with phenotypes consistent with those observed with tau neuropathology can be identified in vivo with vMRI. An increased HV:CTV ratio was predictive of faster clinical decline in participants with AD who were clinically indistinguishable at baseline except for a greater dysexecutive presentation.
Cite this study APA, Vancouver, BibTeX · download .bib or .ris
APA 7th
Risacher, S. L., Anderson, W. H., Charil, A., Castelluccio, P. F., Shcherbinin, S., Saykin, A. J., et al. (2017). Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline. Neurology. https://doi.org/10.1212/wnl.0000000000004670
Vancouver
Risacher SL, Anderson WH, Charil A, Castelluccio PF, Shcherbinin S, Saykin AJ, et al. Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline. Neurology. 2017. doi:10.1212/wnl.0000000000004670. PMID: 29070667.
BibTeX
@article{risacher2017-29070667,
author = {Risacher, S. L. and Anderson, W. H. and Charil, A. and Castelluccio, P. F. and Shcherbinin, S. and Saykin, A. J. and Schwarz, A. J. and {Alzheimer's Disease Neuroimaging Initiative}},
title = {{Alzheimer disease brain atrophy subtypes are associated with cognition and rate of decline}},
journal = {Neurology},
year = {2017},
doi = {10.1212/wnl.0000000000004670},
pmid = {29070667},
url = {https://doi.org/10.1212/wnl.0000000000004670}
}
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 8 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
- Results When participants were divided categorically, the HpSp MRI group showed significantly more AD-like hypometabolism on 18 F-fluorodeoxyglucose-PET ( p < 0.05) and poorer baseline executive function ( p < 0.001).
Why it matters
Among amyloid-positive people with Alzheimer disease, those with a hippocampal-sparing pattern on MRI showed more Alzheimer-like hypometabolism and faster clinical decline than those with a limbic-predominant pattern. This is about using imaging subtypes to predict decline, not about treating, curing, or preventing the disease.
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Study details
- Participants229
- Evidence strengthLow
How this study scored 55/100
Published in a leading specialty journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 9 / 10 | Tier 2 — leading specialty journal (Neurology) |
| Journal's citation record | 4 / 4 | Neurology: journal h-index 525 (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 | 2017 — within 10 year(s) of the newest study here |
| Sample size | 2 / 4 | 229 participants |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| 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 | 5 / 7 | Cited 164 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 14.9 citations a year over 11 year(s) since 2017 |
| Impact for its field and year | 4 / 6 | Cited 9.8× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 8 other studies in this library |
| Still being cited | 2 / 4 | Cited 49 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Lon S. Schneider: h-index 73 (OpenAlex, whole career) |
| Institution's track record | 1 / 3 | Indiana University: institution h-index 926 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 4 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 29070667) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 55 / 100 | — |
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