Abstract
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.
Registration number: CRD42022235716.
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Data availability
The data that support the findings of this study are available from the corresponding author upon reasonable request.
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Funding
This study was supported by the Medical and Health Science and Technology Development Plan of Shandong Province (202003061210), the Key Research and Development Plan of Jining City (2021YXNS024 and 2022JNZC130), the Cultivation Plan of High-level Scientific Research Projects of Jining Medical University (JYGC2021KJ006), the National Natural Science Foundation of China (81901358), the Natural Science Foundation of Shandong Province (ZR2019BH001 and ZR2021YQ55), the Young Taishan Scholars of Shandong Province (tsqn201909146), the Postgraduate Education and Teaching Reform Research Project of Shandong Province (SDYJG19212), and the Supporting Fund for Teachers’ Research of Jining Medical University (600903001).
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Author CZ designed the study and revised the manuscript. Author LL and WY collected the data, undertook the statistical analysis, and wrote the initial manuscript. Authors YW, HS, TW, LP, CL, MC, HY and SJ contributed to data collection and interpretation, statistical analysis and modified the paper. Authors YC and XX critically reviewed and modified the paper. All authors reviewed and have approved the final manuscript.
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Supplementary Material: Table S1
: The checklist of methodology quality assessment for the included studies (when the study scoring > 6.0 was included in the present meta-analysis, 0.5 points were assigned). Table S2 Regional white matter abnormalities in MCI patients compared with HC using the statistical threshold of P < 0.01.
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Li, L., Yang, W., Wan, Y. et al. White matter alterations in mild cognitive impairment revealed by meta-analysis of diffusion tensor imaging using tract-based spatial statistics. Brain Imaging and Behavior 17, 639–651 (2023). https://doi.org/10.1007/s11682-023-00791-5
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DOI: https://doi.org/10.1007/s11682-023-00791-5