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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 40 out of 100. Mild cognitive impairment

Topic: Risk, prevention and care in population studies

Mild Cognitive Impairment (MCI) is a transitional stage between normal aging and Alzheimer's disease. Differentiating early MCI (EMCI) from late MCI (LMCI) is crucial for early diagnosis and intervention. This study used free-water diffusion tensor imaging (fw-DTI) to investigate white matter differences and voxel-based correlations with Mini-Mental State Examination (MMSE) scores. Data from the Alzheimer's Disease Neuroimaging Initiative included 476 healthy controls (CN), 137 EMCI participants, and 62 LMCI participants. Significant MMSE differences were found between the CN and MCI groups, but not between EMCI and LMCI. However, distinct white matter changes were observed: LMCI showed a higher f-index and lower fw-fractional anisotropy (fw-FA) compared to EMCI in several white matter regions. These findings indicate specific white matter tracts involved in MCI progression. Voxel-based correlations between fw-DTI metrics and MMSE scores further supported these results. In conclusion, this study provides crucial insights into white matter changes associated with EMCI and LMCI, offering significant implications for future research and clinical practice.

Key findings

Why it matters

Using a type of MRI called free-water diffusion tensor imaging, this study found distinct white matter changes in people with late MCI compared with early MCI, even though MMSE scores did not differ between the two groups. These findings suggest specific white matter tracts are involved in MCI progression and may help with early diagnosis, but the study does not test any treatment.

Study details

How this study scored 40/100
How this study's score is builtJournal tier 7 of 10; Journal's citation record 0 of 4; Study design 0 of 12; Strength of evidence 1 of 5; Peer-review validation 10 of 10; How recent 4 of 5; Sample size 2 of 4; Effect reported 0 of 3; Studied in people 3 of 3; Randomised / blinded 0 of 2; Times cited 2 of 7; Citations per year 1 of 5; Impact for its field and year 3 of 6; Cited by studies here 0 of 6; Still being cited 1 of 4; Senior author's track record left out, no data; Institution's track record 0 of 3; Multi-centre collaboration 0 of 3; Indexed in PubMed 2 of 2; Free to read 2 of 2. 38 of the 96 points it could be judged on, which is 40 of 100. Total 40 of 100.38 of the 96 points we could judge = 40 of 100

Published in a peer-reviewed journal. Scored zero for study design, effect reported and randomised / blinded because the record does not state it. We have no data on senior author's track record, so that was left out: it earned 38 of the 96 points we could judge it on, which is 40 out of 100.

ComponentPointsWhy
Journal tier 7 / 10 Tier 3 — peer-reviewed journal (NeuroSci)
Journal's citation record 0 / 4 NeuroSci: journal h-index 20 (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 4 / 5 2025 — within 3 year(s) of the newest study here
Sample size 2 / 4 476 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 2 / 7 Cited 5 times (OpenAlex, 2026-10-10)
Citations per year 1 / 5 1.7 citations a year over 3 year(s) since 2025
Impact for its field and year 3 / 6 Cited 3.2× the average for papers of its field and year (OpenAlex FWCI)
Cited by studies here 0 / 6 No other study in this library cites it
Still being cited 1 / 4 Cited 5 times in 2024–2026 (2026 still in progress; OpenAlex)
Senior author's track record — / 4 Senior author's record not available — left out of this score
Institution's track record 0 / 3 Barrow Neurological Institute: institution h-index 384 (OpenAlex)
Multi-centre collaboration 0 / 3 OpenAlex lists 1 institution(s) in 1 country — scores zero (affiliation lists can be incomplete)
Indexed in PubMed 2 / 2 Indexed in PubMed (PMID 39846567)
Free to read 2 / 2 Free to read
Points 38 / 96 Scored on 19 of 20 parts. We have no data for the rest, so they are left out: 38 of the 96 points we could judge it on is 40 out of 100.
Total 40 / 100 —

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

Read the original

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

Bergamino, M., McElvogue, M. M., Stokes, A. M., & Alzheimer’s Disease Neuroimaging Initiative. (2025). Distinguishing Early from Late Mild Cognitive Impairment Using Magnetic Resonance Free-Water Diffusion Tensor Imaging. NeuroSci. https://doi.org/10.3390/neurosci6010008

Vancouver

Bergamino M, McElvogue MM, Stokes AM, Alzheimer’s Disease Neuroimaging Initiative. Distinguishing Early from Late Mild Cognitive Impairment Using Magnetic Resonance Free-Water Diffusion Tensor Imaging. NeuroSci. 2025. doi:10.3390/neurosci6010008. PMID: 39846567.

BibTeX

@article{bergamino2025-39846567,
  author  = {Bergamino, Maurizio and McElvogue, Molly M. and Stokes, Ashley Michelle and {Alzheimer’s Disease Neuroimaging Initiative}},
  title   = {{Distinguishing Early from Late Mild Cognitive Impairment Using Magnetic Resonance Free-Water Diffusion Tensor Imaging}},
  journal = {NeuroSci},
  year    = {2025},
  doi     = {10.3390/neurosci6010008},
  pmid    = {39846567},
  url     = {https://doi.org/10.3390/neurosci6010008}
}

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Referenced by this study and also in the alzhub library, so you can read them here.

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