Assessment of localized brain regions correlated with MMSE using VBM analysis of structural MRI in a Japanese sample

TL;DR

This study uses MRI scans to identify brain regions linked to cognitive decline in a Japanese population, helping detect early signs of dementia.

Contribution

The study identifies specific brain regions correlated with MMSE scores in a Japanese sample using VBM analysis.

Findings

Lower MMSE scores correlate with reduced gray matter volume in regions like the hippocampus and frontal lobes.

MCI and dementia groups show progressive GMV reductions in specific brain areas compared to normal cognition groups.

VBM-based MRI analysis shows potential for early detection of cognitive decline and dementia.

Abstract

The global aging population has led to a significant rise in dementia and cognitive decline, with Alzheimer's disease as the primary cause. Early detection of mild cognitive impairment (MCI), a prodromal stage of dementia, is critical for timely intervention. The Mini-Mental State Examination (MMSE) is commonly used for cognitive screening, yet its limitations—such as ceiling effects and educational biases—may hinder the early identification of subtle cognitive impairments. This cross-sectional study employed voxel-based morphometry (VBM) analysis of structural magnetic resonance imaging (MRI) to explore brain regions positively correlated with MMSE scores in a cohort of 510 participants. Significant gray matter volume (GMV) reductions were observed in the bilateral lateral frontal lobes, left medial frontal lobe, left hippocampus, left anterior cingulate cortex (ACC), and bilateral inferior temporal gyri in association with lower MMSE scores. Participants were classified into three groups—Normal Cognition (NC), MCI, and Dementia (D)—based on MMSE cutoff values. Compared to the NC group, the MCI group exhibited significant GMV reductions in the left hippocampus, left parahippocampal gyrus, left ACC, and right ventromedial prefrontal cortex (vmPFC). The D group showed further GMV reductions in the bilateral hippocampus and left inferior temporal gyrus compared to the MCI group. These findings highlight the clinical utility of VBM-based structural MRI in assessing localized brain atrophy associated with cognitive decline, supporting its potential role in early diagnosis and intervention for MCI. Further research integrating longitudinal studies and multimodal biomarkers is warranted to enhance diagnostic accuracy.

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