4.8 Article

Common and heritable components of white matter microstructure predict cognitive function at 1 and 2 y

出版社

NATL ACAD SCIENCES
DOI: 10.1073/pnas.1604658114

关键词

factor analysis; white matter; DTI; cognition; heritability

资金

  1. National Institutes of Mental Health [MH064065, MH070890, RR025747, MH086633]
  2. National Institute of Child Health and Human Development [HD053000]
  3. National Science Foundation [SES-1357666, DMS-1407655]
  4. Division Of Mathematical Sciences
  5. Direct For Mathematical & Physical Scien [1743054] Funding Source: National Science Foundation

向作者/读者索取更多资源

Previous studies indicate that the microstructure of individual white matter (WM) tracts is related to cognitive function. More recent studies indicate that the microstructure of individual tracts is highly correlated and that a property common across WM is related to overall cognitive function in adults. However, little is known about whether these common WM properties exist in early childhood development or how they are related to cognitive development. In this study, we used diffusion tensor imaging (DTI) to investigate common underlying factors in 12 fiber tracts, their relationship with cognitive function, and their heritability in a longitudinal sample of healthy children at birth (n = 535), 1 y (n = 322), and 2 y (n = 244) of age. Our data show that, in neonates, there is a highly significant correlation between major WM tracts that decreases from birth to 2 y of age. Over the same period, the factor structure increases in complexity, from one factor at birth to three factors at age 2 y, which explain 50% of variance. The identified common factors of DTI metrics in each age group are significantly correlated with general cognitive scores and predict cognitive ability in later childhood. These factors are moderately heritable. These findings illustrate the anatomical differentiation of WM fiber from birth to 2 y of age that correlate with cognitive development. Our results also suggest that the common factor approach is an informative way to study WM development and its relationship with cognition and is a useful approach for future imaging genetic studies.

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