Evidence map›Paper›PMID 42437010›Full record

ArticleIBRO neuroscience reports2026

Relation between voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) on 3-tesla MRI and cognitive performances: Practical application in clinical settings.

K Igase, M Igase, H Matsuda, J Hara, J R Bock, K Sadamoto, W R Shankle

Abstract read
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Article in IBRO neuroscience reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

K IgaseDepartment of Advanced Neurosurgery, Ehime University Graduate School of Medicine, Japan.
M IgaseDepartment of Antiaging Medicine, Ehime University Graduate School of Medicine, Japan.
H MatsudaIntegrative Brain Imaging Center, National Center of Neurology and Psychiatry, Tokyo, Japan.
J HaraMedical Care Corporation, Newport Beach, CA, USA.
J R BockMedical Care Corporation, Newport Beach, CA, USA.
K SadamotoDepartment of Neurosurgery, Washokai Sadamoto Hospital, Japan.
W R ShankleMedical Care Corporation, Newport Beach, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Voxel-based specific regional analysis system for Alzheimer's disease ( Method: Three-tesla brain MRI was conducted in 100 outpatients without dementia, and all MRI data were analyzed using VSRAD. The target region of interest ( Results: Sixty-two percent (62%) were identified as the BNL group by MPI. Univariate analyses found that the BNL group had a significantly higher age, shorter years of education, and higher Z-score in VSRAD compared to the NL group, but no statistically significant difference was observed between genders. Bivariate correlation found that MPI, which is adjusted for age, gender, and years of education, was significantly correlated with Z-score assessed by VSRAD (Pearson's Conclusions: VSRAD Z-score using VSRAD software was one independent factor significantly associated with cognitive performance measured by MPI. The determination of a cut-off value for Z-score (1.14) that can help discriminate normal patients from those with MCI.

Indexed as

3Tesla MRICognitive ImpairmentMCI screenMild Cognitive ImpairmentVSRAD

Identifiers

PMID42437010
PMCPMC13355403

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.