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Automatic voxel-based morphometry of structural MRI by SPM8 plus diffeomorphic anatomic registration through exponentiated lie algebra improves the diagnosis of probable Alzheimer Disease
Matsuda H, Mizumura S, Nemoto K, Yamashita F, Imabayashi E, Sato N, Asada T.. AJNR. American journal of neuroradiology, 2012-02-02
Topic: Amyloid, tau and blood-test diagnosis
Background and purpose The necessity for structural MRI is greater than ever to both diagnose AD in its early stage and objectively evaluate its progression. We propose a new VBM-based software program for automatic detection of early specific atrophy in AD. Materials and methods A target VOI was determined by group comparison of 30 patients with very mild AD and 40 age-matched healthy controls by using SPM. Then this target VOI was incorporated into a newly developed automated software program independently running on a Windows PC for VBM by using SPM8 plus DARTEL. ROC analysis was performed for discrimination of 116 other patients with AD with very mild stage (n = 45), mild stage (n = 30) and moderate-to-advanced stages (n = 41) from 40 other age-matched healthy controls by using a z score map in the target VOI. Results Medial temporal structures involving the entire region of the entorhinal cortex, hippocampus, and amygdala showed significant atrophy in the patients with very mild AD and were determined as a target VOI. When we used the severity score of atrophy in this target VOI, 91.6%, 95.8%, and 98.2% accuracies were obtained in the very mild AD, mild AD, and moderate-to-severe AD groups, respectively. In the very mild AD group, a high specificity of 97.5% with a sensitivity of 86.4% was obtained, and age at onset of AD did not influence this accuracy. Conclusions This software program with application of SPM8 plus DARTEL to VBM provides a high performance for AD diagnosis by using MRI.
Key findings
- Results Medial temporal structures involving the entire region of the entorhinal cortex, hippocampus, and amygdala showed significant atrophy in the patients with very mild AD and were determined as a target VOI.
Why it matters
A new automated MRI analysis method detected atrophy in medial temporal structures and distinguished very mild, mild, and moderate-to-severe Alzheimer disease from healthy controls with accuracies of 91.6%, 95.8%, and 98.2%. This is a diagnostic tool only and does not treat, cure, or prevent the disease.
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Study details
- Participants45
- Effect size91.6%; 95.8%; 98.2%
- Evidence strengthLow
How this study scored 49/100
Published in a peer-reviewed journal. Scored zero for study design and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (AJNR. American journal of neuroradiology) |
| Journal's citation record | 2 / 4 | American Journal of Neuroradiology: journal h-index 182 (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 | 2012 — within 20 year(s) of the newest study here |
| Sample size | 1 / 4 | 45 participants |
| Effect reported | 2 / 3 | Effect reported as a number, without an interval or test |
| 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 251 times (OpenAlex, 2026-10-10) |
| Citations per year | 3 / 5 | 15.7 citations a year over 16 year(s) since 2012 |
| Impact for its field and year | 4 / 6 | Cited 10.7× 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 45 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 3 / 4 | Last-listed author Takashi Asada: h-index 54 (OpenAlex, whole career) |
| Institution's track record | 0 / 3 | University of Tsukuba: institution h-index 685 (OpenAlex) |
| Multi-centre collaboration | 2 / 3 | OpenAlex lists 6 institution(s) in 1 country |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 22300935) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 49 / 100 | — |
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Read the original
- DOI: 10.3174/ajnr.a2935
- PubMed: 22300935
- Original source →
- Free full text: American Journal of Neuroradiology →
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 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.
APA 7th
Matsuda, H., Mizumura, S., Nemoto, K., Yamashita, F., Imabayashi, E., Sato, N., et al. (2012). Automatic voxel-based morphometry of structural MRI by SPM8 plus diffeomorphic anatomic registration through exponentiated lie algebra improves the diagnosis of probable Alzheimer Disease. AJNR. American journal of neuroradiology. https://doi.org/10.3174/ajnr.a2935
Vancouver
Matsuda H, Mizumura S, Nemoto K, Yamashita F, Imabayashi E, Sato N, et al. Automatic voxel-based morphometry of structural MRI by SPM8 plus diffeomorphic anatomic registration through exponentiated lie algebra improves the diagnosis of probable Alzheimer Disease. AJNR. American journal of neuroradiology. 2012. doi:10.3174/ajnr.a2935. PMID: 22300935.
BibTeX
@article{matsuda2012-22300935,
author = {Matsuda, H. and Mizumura, S. and Nemoto, K. and Yamashita, F. and Imabayashi, E. and Sato, N. and Asada, T.},
title = {{Automatic voxel-based morphometry of structural MRI by SPM8 plus diffeomorphic anatomic registration through exponentiated lie algebra improves the diagnosis of probable Alzheimer Disease}},
journal = {AJNR. American journal of neuroradiology},
year = {2012},
doi = {10.3174/ajnr.a2935},
pmid = {22300935},
url = {https://doi.org/10.3174/ajnr.a2935}
}
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