Associations Between White Matter Microstructures and Cognitive Functioning in 8-Year-Old Children: A Track-Weighted Imaging Study. (May 2022)

• Record Type: Journal Article
• Authors: Raja, Rajikha; Na, Xiaoxu; Moore, Alexandra; Otoo, Raymond; Glasier, Charles M.; Badger, Thomas M.; Ou, Xiawei
• Is Part Of: Journal of child neurology. Volume 37:Number 6(2022)
• Page Start: 471
• Page End: 490
• Publication Date: 2022-05
• Subjects: diffusion-weighted MRI -- track-weighted imaging -- constrained spherical deconvolution model -- tractography -- child brain development; Nervous system -- Diseases -- Periodicals; 618.928
• DOI: 10.1177/08830738221083487
• Languages: English
• ISSNs: 0883-0738

Abstract

Purpose: Quantitative tractography using diffusion-weighted magnetic resonance imaging data is widely used in characterizing white matter microstructure throughout childhood, but more studies are still needed to investigate comprehensive brain-behavior relationships between tract-specific white matter measures and multiple cognitive functions in children. Methods: In this study, we analyzed diffusion-weighted MRI data of 71 healthy 8-year-old children utilizing white matter tract-specific quantitative measures derived from diffusion-weighted MRI tractography based on a novel track-weighted imaging approach. Track density imaging, average path length map and 4 track-weighted diffusion tensor imaging measures including: mean diffusivity, fractional anisotropy, axial diffusivity, and radial diffusivity were computed for 63 white matter tracts. The track-weighted imaging 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. Results: Significant correlations ( P < .05, false discovery rate corrected; r = 0.27-0.57) were found in multiple white matter tracts, with a total of 40 correlations identified between various track-weighted imaging measures including average path length map, track-weighted imaging–fractional anisotropy, and neuropsychological test scores and subscales. Specifically, track-weighted imaging measures indicative of better white matter connectivity and/or microstructural development significantly correlated with higher IQ and better language abilities. Conclusion: Our findings demonstrate the ability of track-weighted imaging measures in establishing associations between white matter 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.