ArticleeLife2022
Fiber-specific structural properties relate to reading skills in children and adolescents.
Article in eLife, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed.
- Tidying up white matter: Neuroplastic transformations in sensorimotor tracts following slackline skill acquisition.Human brain mapping · 2024Trial
- Heritable and experience-dependent cortical traits of reading ability.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Deviation in development of dorsal association tracts during preadolescence links to concurrent and future cognitive performance and transdiagnostic psychopathology.Nature communications · 2026Article
- Diffusion MRI sampling schemes bias diffusion metrics and tractography.Frontiers in neuroimaging · 2026Article
- Psychotic-Like Experiences and White Matter Microstructure: A Fixel-Based Analysis Approach With Robust Replication Across Two Cohorts.Human brain mapping · 2025Article
- White matter microstructural and macrostructural profiles during midlife reveal sex differences between men and women at different menopausal stages.Scientific reports · 2025Article
- Reading and White Matter Development: A Systematic Review of Neuroplastic Changes in Literacy.Children (Basel, Switzerland) · 2025Review
- Phonological decoding ability is associated with fiber density of the left arcuate fasciculus longitudinally across reading development.Developmental cognitive neuroscience · 2025Article
- Math skills and microstructure of the middle longitudinal fasciculus: A developmental investigation.PloS one · 2025Article
- No Support for White Matter Alterations in Adults With Dyslexia: A Fixel-Based Diffusion MRI Study.Neurobiology of language (Cambridge, Mass.) · 2025Article
- White matter microstructural plasticity associated with educational intervention in reading disability.Imaging neuroscience (Cambridge, Mass.) · 2024Article
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Recent studies suggest that the cross-sectional relationship between reading skills and white matter microstructure, as indexed by fractional anisotropy, is not as robust as previously thought. Fixel-based analyses yield fiber-specific micro- and macrostructural measures, overcoming several shortcomings of the traditional diffusion tensor model. We ran a whole-brain analysis investigating whether the product of fiber density and cross-section (FDC) related to single-word reading skills in a large, open, quality-controlled dataset of 983 children and adolescents ages 6-18. We also compared FDC between participants with (n = 102) and without (n = 570) reading disabilities. We found that FDC positively related to reading skills throughout the brain, especially in left temporoparietal and cerebellar white matter, but did not differ between reading proficiency groups. Exploratory analyses revealed that among metrics from other diffusion models - diffusion tensor imaging, diffusion kurtosis imaging, and neurite orientation dispersion and density imaging - only the orientation dispersion and neurite density indexes from NODDI were associated (inversely) with reading skills. The present findings further support the importance of left-hemisphere dorsal temporoparietal white matter tracts in reading. Additionally, these results suggest that future DWI studies of reading and dyslexia should be designed to benefit from advanced diffusion models, include cerebellar coverage, and consider continuous analyses that account for individual differences in reading skill.
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Registered trials
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