The DOI matches its Crossref record; 76 of the 76 references it cites were found in a registry or an index.
Development of white matter and reading skills
Open accessAbstract
White matter tissue properties are highly correlated with reading proficiency; we would like to have a model that relates the dynamics of an individual’s white matter development to their acquisition of skilled reading. The development of cerebral white matter involves multiple biological processes, and the balance between these processes differs between individuals. Cross-sectional measures of white matter mask the interplay between these processes and their connection to an individual’s cognitive development. Hence, we performed a longitudinal study to measure white-matter development (diffusion-weighted imaging) and reading development (behavioral testing) in individual children (age 7–15 y). The pattern of white-matter development differed significantly among children. In the left arcuate and left inferior longitudinal fasciculus, children with above-average reading skills initially had low fractional anisotropy (FA) that increased over the 3-y period, whereas children with below-average reading skills had higher initial FA that declined over time. We describe a dual-process model of white matter development comprising biological processes with opposing effects on FA, such as axonal myelination and pruning, to explain the pattern of results.
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The Acquisition of Heritage Languages
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The development of brain white matter microstructure
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Metadata
- Authors
- Yeatman, J. D., Dougherty, R. F., Ben-Shachar, M., & Wandell, B. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 2012-10-08
- Volume
- 109
- Issue
- 44
- Pages
- E3045-53
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2056275659
- Cited by
- 368
- References
- 76
- FWCI
- 12.02
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.