Associations Between White Matter Microstructures and Cognitive Functioning in 8-Year-Old Children: A Track-Weighted Imaging Study.

Associations Between White Matter Microstructures and Cognitive Functioning in 8-Year-Old Children: A Track-Weighted Imaging Study.
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DOI:
10.1177/08830738221083487
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发表时间:
2022-05
影响因子:
1.9
通讯作者:
--
中科院分区:
医学4区
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采用弥散加权磁共振成像(DW-MRI)数据的定量纤维束成像被广泛用于表征整个儿童期的白色物质(WM)微结构,但仍需要更多的研究来调查儿童特定的脑束WM测量和多种认知功能之间的全面脑行为关系。在这项研究中,我们分析了71名健康8岁儿童的DW-MRI数据,这些儿童使用了基于新型轨道加权成像(TWI)方法的DW-MRI纤维束成像的WM束特异性定量测量。计算63条WM束的磁迹密度成像(TDI)、平均路径长度图(APM)和4种磁迹加权扩散张量成像(DTI)指标:平均扩散率(TWI-MD)、各向异性分数(TWI-FA)、轴向扩散率(TWI-AD)和径向扩散率(TWI-RD)。然后将TWI测量与不同认知领域的一组全面的神经心理学测试分数相关联,包括智力,语言,记忆,学术技能和执行功能,以确定特定的大脑行为关系。在多个WM束中发现了显著相关性(P <0.05,FDR校正; r:0.27 - 0.57),在各种TWI测量(包括APM、TWI-FA)和神经心理学测试分数/子量表之间总共确定了40个相关性。具体来说,TWI措施表明更好的WM连接和/或微结构的发展显着相关的高智商和更好的语言能力。我们的研究结果表明,TWI措施在建立WM和认知功能之间的关联在健康儿童的能力,并可以作为正常的大脑/认知关系在年轻的学龄儿童的参考,并进一步帮助识别成像生物标志物预测不良的神经发育结果。
Quantitative tractography using diffusion-weighted magnetic resonance imaging (DW-MRI) data is widely used in characterizing white matter (WM) microstructure throughout childhood, but more studies are still needed to investigate comprehensive brain-behavior relationships between tract-specific WM measures and multiple cognitive functions in children. In this study, we analyzed DW-MRI data of 71 healthy 8-year-old children utilizing WM tract-specific quantitative measures derived from DW-MRI tractography based on a novel track-weighted imaging (TWI) approach. Track density imaging (TDI), average path length map (APM) and 4 track-weighted diffusion tensor imaging (DTI) measures including: mean diffusivity (TWI-MD), fractional anisotropy (TWI-FA), axial diffusivity (TWI-AD) and radial diffusivity (TWI-RD) were computed for 63 WM tracts. The TWI measures were then correlated with a comprehensive set of neuropsychological test scores in different cognitive domains including intelligence, language, memory, academic skills, and executive functions to identify tract-specific brain-behavior relationships. Significant correlations (P<0.05, FDR corrected; r: 0.27–0.57) were found in multiple WM tracts with a total of 40 correlations identified between various TWI measures including APM, TWI-FA and neuropsychological test scores/subscales. Specifically, TWI measures indicative of better WM connectivity and/or microstructural development significantly correlated with higher IQ and better language abilities. Our findings demonstrate the ability of TWI measures in establishing associations between WM and cognitive functioning in healthy children, and can serve as a reference for normal brain/cognition relationships in young school-age children and further aid in identifying imaging biomarkers predictive of adverse neurodevelopmental outcomes.
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