Journal
BRAIN IMAGING AND BEHAVIOR
Volume -, Issue -, Pages -Publisher
SPRINGER
DOI: 10.1007/s11682-023-00791-5
Keywords
Mild cognitive impairment; Diffusion tensor imaging; Fractional anisotropy; Tract-based spatial statistics; White matter; Seed-based d mapping
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This study used diffusion tensor imaging (DTI) to examine white matter microarchitecture alterations in patients with mild cognitive impairment (MCI). The results showed significant changes in multiple regions of the brain, including the corpus callosum and left striatum. These findings contribute to our understanding of the neuropathological mechanism underlying MCI.
The neuropathological mechanism of mild cognitive impairment (MCI) remains unclarified. Diffusion tensor imaging (DTI) studies revealed white matter (WM) microarchitecture alterations in MCI, but consistent findings and conclusions have not yet been drawn. The present coordinate-based meta-analysis (CBMA) of tract-based spatial statistics (TBSS) studies aimed to identify the most prominent and robust WM abnormalities in patients with MCI. A systematic search of relevant studies was conducted through January 2022 to identify TBSS studies comparing fractional anisotropy (FA) between MCI patients and healthy controls (HC). We used the seed-based d mapping (SDM) software to achieve the CBMA and analyze regional FA alterations in MCI. Meta-regression analysis was subsequently applied to explore the potential associations between clinical variables and FA changes. MCI patients demonstrated significantly decreased FA in widely distributed areas in the corpus callosum (CC), including the genu, body, and splenium of the CC, as well as one cluster in the left striatum. FA in the body of the CC and in three clusters in the splenium of the CC was negatively associated with the mean age. Additionally, FA in the genu of the CC and in three clusters in the splenium of the CC had negative correlations with the MMSE scores. Disrupted integrities of the CC and left striatum might play vital roles in the process of cognitive decline. These findings enhanced our understanding of the neural mechanism underlying WM neurodegeneration in MCI and provided perspectives for the early detection and intervention of dementia.
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