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This page is alzhub.org's plain-English summary of a published study, not the paper itself. It is generated from the record we hold for this study, sourced and linked below — check the original for the full text and methods.

✓ Peer-reviewed alzhub usefulness score 48 out of 100. Mild cognitive impairment

Topic: Risk, prevention and care in population studies

Recent research has shown an increased rate of conversion to dementia in subjects with mild cognitive impairment (MCI) compared to controls. However, there are no specific methods to predict who will later develop dementia. In the present study, 22 controls and 56 MCI subjects were followed on average for 37 months (max. 60 months) and studied with magnetic resonance imaging (MRI) at baseline to assess changes in brain structure associated to later progression to dementia. Voxel-based morphometry (VBM) was used to investigate gray matter atrophy. During the follow-up, 13 subjects progressed to dementia. At baseline, no differences were detected in age or education between the control and MCI subjects, but they differed by several neuropsychological tests. The stable and progressive MCI subjects differed only by CDR sum of boxes scores and delayed verbal recall, which were also significant predictors of conversion to dementia. At the baseline imaging, the MCI subjects showed reduced gray matter density in medial temporal, temporoparietal as well as in frontal cortical areas compared to controls. Interestingly, the progressive MCI subjects showed atrophy in the left temporoparietal and posterior cingulate cortices and in the precuneus bilaterally, and a trend for hippocampal atrophy when compared to the stable MCI subjects. We conclude that widespread cortical atrophy is present already two and a half years before a clinical diagnosis of dementia can be set.

Key findings

Why it matters

In 56 people with mild cognitive impairment followed for about 37 months, those who progressed to dementia showed atrophy in certain brain regions at baseline. This supports using brain imaging to help predict conversion, but it does not test any treatment.

Study details

How this study scored 48/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 4 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 1 of 5; Sample size 1 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 5 of 7; Citations per year 2 of 5; Impact for its field and year 3 of 6; Cited by studies here 2 of 6; Still being cited 1 of 4; Senior author's track record 4 of 4; Institution's track record 1 of 3; Multi-centre collaboration 1 of 3; Indexed in PubMed 2 of 2; Free to read 0 of 2. Total 48 of 100.48 of 100 points earned52 not earned

Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (NeuroImage)
Journal's citation record 4 / 4 NeuroImage: journal h-index 523 (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 2007 — within 20 year(s) of the newest study here
Sample size 1 / 4 13 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 139 times (OpenAlex, 2026-10-10)
Citations per year 2 / 5 6.6 citations a year over 21 year(s) since 2007
Impact for its field and year 3 / 6 Cited 6.0× 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 1 / 4 Cited 3 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record 4 / 4 Last-listed author Hilkka S. Soininen: h-index 143 (OpenAlex, whole career)
Institution's track record 1 / 3 Universitat de Barcelona: institution h-index 1,049 (OpenAlex)
Multi-centre collaboration 1 / 3 OpenAlex lists 3 institution(s) in 2 countries
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 17683950)
Free to read 0 / 2 Behind a paywall — scores zero
Total 48 / 100 —

What each of these 20 components measures, and what this score is not →

Read the original

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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

Hämäläinen, A., Tervo, S., Grau-Olivares, M., Niskanen, E., Pennanen, C., Huuskonen, J., et al. (2007). Voxel-based morphometry to detect brain atrophy in progressive mild cognitive impairment. NeuroImage. https://doi.org/10.1016/j.neuroimage.2007.06.016

Vancouver

Hämäläinen A, Tervo S, Grau-Olivares M, Niskanen E, Pennanen C, Huuskonen J, et al. Voxel-based morphometry to detect brain atrophy in progressive mild cognitive impairment. NeuroImage. 2007. doi:10.1016/j.neuroimage.2007.06.016. PMID: 17683950.

BibTeX

@article{hamalainen2007-17683950,
  author  = {Hämäläinen, A. and Tervo, S. and Grau-Olivares, M. and Niskanen, E. and Pennanen, C. and Huuskonen, J. and Kivipelto, M. and Hänninen, T. and others},
  title   = {{Voxel-based morphometry to detect brain atrophy in progressive mild cognitive impairment}},
  journal = {NeuroImage},
  year    = {2007},
  doi     = {10.1016/j.neuroimage.2007.06.016},
  pmid    = {17683950},
  url     = {https://doi.org/10.1016/j.neuroimage.2007.06.016}
}

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