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Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline
Nettiksimmons J, Harvey D, Brewer J, Carmichael O, DeCarli C, Jack CR, Petersen R, Shaw LM et al.. Neurobiology of aging, 2010-06-09
Topic: Risk, prevention and care in population studies
Cerebrospinal fluid (CSF) and structural magnetic resonance imaging (MRI) show patterns of change in Alzheimer's disease (AD) that precede dementia. The Alzheimer's Disease Neuroimaging Initiative (ADNI) studied normal controls (NC), subjects with mild cognitive impairment (MCI), and subjects with AD to identify patterns of biomarkers to aid in early diagnosis and effective treatment of AD. Two hundred twenty-two NC underwent baseline MRI and clinical examination at baseline and at least one follow-up.
Key findings
- The Alzheimer's Disease Neuroimaging Initiative (ADNI) studied normal controls (NC), subjects with mild cognitive impairment (MCI), and subjects with AD to identify patterns of biomarkers to aid in early diagnosis and effective treatment of AD.
- Two hundred twenty-two NC underwent baseline MRI and clinical examination at baseline and at least one follow-up.
- One hundred twelve also provided CSF at baseline.
- Unsupervised clustering based on initial CSF and MRI measures was used to identify clusters of participants with similar profiles.
Why it matters
This study used cerebrospinal fluid and MRI markers to identify subtypes in normal elderly people that predicted later cognitive decline. It is about early detection and biomarker patterns, not about treating, curing, or preventing Alzheimer's disease.
Study details
- Evidence strengthLow
How this study scored 44/100
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 (Neurobiology of aging) |
| Journal's citation record | 3 / 4 | Neurobiology of Aging: journal h-index 263 (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 | 1 / 5 | 2010 — within 20 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 64 times (OpenAlex, 2026-10-10) |
| Citations per year | 2 / 5 | 3.6 citations a year over 18 year(s) since 2010 |
| Impact for its field and year | 3 / 6 | Cited 3.0× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 5 other studies in this library |
| Still being cited | 1 / 4 | Cited 4 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Laurel A. Beckett: h-index 116 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University of California, San Francisco: institution h-index 1,915 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 5 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 20542598) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 44 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.neurobiolaging.2010.04.025
- PubMed: 20542598
- Original source →
- Free full text: PubMed Central →
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. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Nettiksimmons, J., Harvey, D., Brewer, J., Carmichael, O., DeCarli, C., Jack, C. R., et al. (2010). Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2010.04.025
Vancouver
Nettiksimmons J, Harvey D, Brewer J, Carmichael O, DeCarli C, Jack CR, et al. Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline. Neurobiology of aging. 2010. doi:10.1016/j.neurobiolaging.2010.04.025. PMID: 20542598.
BibTeX
@article{nettiksimmons2010-20542598,
author = {Nettiksimmons, J. and Harvey, D. and Brewer, J. and Carmichael, O. and DeCarli, C. and Jack, C. R. and Petersen, R. and Shaw, L. M. and others},
title = {{Subtypes based on cerebrospinal fluid and magnetic resonance imaging markers in normal elderly predict cognitive decline}},
journal = {Neurobiology of aging},
year = {2010},
doi = {10.1016/j.neurobiolaging.2010.04.025},
pmid = {20542598},
url = {https://doi.org/10.1016/j.neurobiolaging.2010.04.025}
}
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