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Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer's disease
Wolk DA, Das SR, Mueller SG, Weiner MW, Yushkevich PA, Alzheimer's Disease Neuroimaging Initiative.. Neurobiology of aging, 2016-09-30
Topic: Amyloid, tau and blood-test diagnosis
Autopsy studies of Alzheimer's disease (AD) have found that neurofibrillary tangle (NFT) pathology of the medial temporal lobe (MTL) demonstrates selective topography with relatively stereotyped subregional involvement at early disease stages, prompting interest in more granular measurement of these structures with in vivo magnetic resonance imaging. We applied a novel, automated method for measurement of hippocampal subfields and extrahippocampal MTL cortical regions. The cohort included cognitively normal (CN) adults (n = 86), early mild cognitive impairment (n = 43), late MCI (n = 22), and mild AD (n = 40) patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
Key findings
- We applied a novel, automated method for measurement of hippocampal subfields and extrahippocampal MTL cortical regions.
- The cohort included cognitively normal (CN) adults (n = 86), early mild cognitive impairment (n = 43), late MCI (n = 22), and mild AD (n = 40) patients from the Alzheimer's Disease Neuroimaging Initiative (ADNI).
- For pseudolongitudinal analysis of the continuum from preclinical to mild AD dementia, the groups were further divided according to amyloid status based on positron emission tomography.
- Specific subregions associated with the early NFT pathology of AD were more sensitive to preclinical and early prodromal AD than whole hippocampal volume while more diffuse involvement was found in later stages.
Why it matters
This study applied an automated method to measure hippocampal subfields and medial temporal lobe cortical regions in ADNI participants across the cognitive continuum. It concerns imaging measurement of brain structures, not a treatment, cure or prevention.
Study details
- Participants86
- Evidence strengthModerate
How this study scored 52/100
Published in a peer-reviewed journal. Scored zero for study design, effect reported 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 | 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 | 1 / 4 | 86 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 | 4 / 7 | Cited 96 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 8.7 citations a year over 11 year(s) since 2017 |
| Impact for its field and year | 4 / 6 | Cited 8.6× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 2 / 6 | Cited by 3 other studies in this library |
| Still being cited | 2 / 4 | Cited 22 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Paul A. Yushkevich: h-index 61 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University of Pennsylvania: institution h-index 1,859 (OpenAlex) |
| Multi-centre collaboration | 1 / 3 | OpenAlex lists 2 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 27836336) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 52 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
- DOI: 10.1016/j.neurobiolaging.2016.09.011
- PubMed: 27836336
- Original source →
- Free full text: Neurobiology of Aging →
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
Wolk, D. A., Das, SR., Mueller, S. G., Weiner, M. W., Yushkevich, P. A., & Alzheimer's Disease Neuroimaging Initiative. (2017). Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer's disease. Neurobiology of aging. https://doi.org/10.1016/j.neurobiolaging.2016.09.011
Vancouver
Wolk DA, Das SR, Mueller SG, Weiner MW, Yushkevich PA, Alzheimer's Disease Neuroimaging Initiative. Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer's disease. Neurobiology of aging. 2017. doi:10.1016/j.neurobiolaging.2016.09.011. PMID: 27836336.
BibTeX
@article{wolk2017-27836336,
author = {Wolk, D. A. and Das, SR. and Mueller, S. G. and Weiner, M. W. and Yushkevich, P. A. and {Alzheimer's Disease Neuroimaging Initiative}},
title = {{Medial temporal lobe subregional morphometry using high resolution MRI in Alzheimer's disease}},
journal = {Neurobiology of aging},
year = {2017},
doi = {10.1016/j.neurobiolaging.2016.09.011},
pmid = {27836336},
url = {https://doi.org/10.1016/j.neurobiolaging.2016.09.011}
}
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