ArticleEuropean journal of radiology open2021
Identification of predictors for mini-mental state examination and revised Hasegawa's Dementia Scale scores using MR-based brain morphometry.
Article in European journal of radiology open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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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.
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Who cites it
6 citing papers in PubMed, 11 citations in OpenAlex.
- Psychometric properties, pragmatic screening cut-offs, and feasibility of two Clock Drawing Test formats in older psychiatric outpatients: Associations with MMSE and HDS-R.PCN reports : psychiatry and clinical neurosciences · 2026Article
- Statistical Parametric Mapping and Voxel-Based Specific Regional Analysis System for Alzheimer's Disease (VSRAD): Principles and Clinical Applications.Brain sciences · 2025Review
- Right entorhinal cortical thickness is associated with Mini-Mental State Examination scores from multi-country datasets using MRI.Neuroradiology · 2022Article
- Relationship between finger movement characteristics and brain voxel-based morphometry.PloS one · 2022Article
- Spontaneous brain activity in healthy aging: An overview through fluctuations and regional homogeneity.Frontiers in aging neuroscience · 2022Article
- Article
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Authors and funding
10 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThe early detection of cognitive function decline is crucial to help manage or slow the progression of symptoms. The Mini-Mental State Examination (MMSE) and revised Hasegawa's Dementia Scale (HDS-R) are widely used in screening for cognitive impairment. The purpose of this study was to explore common predictors of the two different cognitive testing systems using MR-based brain morphometry. MATERIALS AND
methodsThis retrospective study included 200 subjects with clinical suspicion of cognitive impairment who underwent 3D T1-weighted MRI at our institution between February 2019 and August 2020. Variables related to the volume of deep gray matter and 70 cortical thicknesses were obtained from the MR images using voxel-based specific regional analysis system for Alzheimer's disease (VSRAD) and FreeSurfer software. The correlation between each variable including age and MMSE/HDS-R scores was evaluated using uni- and multi-variate logistic regression analyses.
resultsIn univariate analysis, parameters include hippocampal volume and bilateral entorhinal cortex (ERC) thickness showed moderate correlation coefficients with both MMSE and HDS-R scores. Multivariate analysis demonstrated the right ERC thickness was the common parameter which significantly correlates with both MMSE and HDS-R scores (p < 0.05).
conclusionRight ERC thickness appears to offer a useful predictive biomarker for both MMSE and HDS-R scores.
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