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:
文献类型:
--
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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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影响因子:
2.6
作者:
Feldman HM;Lee ES;Yeatman JD;Yeom KW
通讯作者:
Yeom KW
影响因子:
4.2
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Boyd, L. A.
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通讯作者:
Nosarti, Chiara
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通讯作者:
Jumbe NL
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通讯作者:
Phillips, L