Matches in SemOpenAlex for { <https://semopenalex.org/work/W2913612087> ?p ?o ?g. }
- W2913612087 endingPage "100624" @default.
- W2913612087 startingPage "100624" @default.
- W2913612087 abstract "Diffusion MRI (dMRI) holds great promise for illuminating the biological changes that underpin cognitive development. The diffusion of water molecules probes the cellular structure of brain tissue, and biophysical modeling of the diffusion signal can be used to make inferences about specific tissue properties that vary over development or predict cognitive performance. However, applying these models to study development requires that the parameters can be reliably estimated given the constraints of data collection with children. Here we collect repeated scans using a typical multi-shell diffusion MRI protocol in a group of children (ages 7–12) and use two popular modeling techniques to examine individual differences in white matter structure. We first assess scan-rescan reliability of model parameters and show that axon water faction can be reliably estimated from a relatively fast acquisition, without applying spatial smoothing or de-noising. We then investigate developmental changes in the white matter, and individual differences that correlate with reading skill. Specifically, we test the hypothesis that previously reported correlations between reading skill and diffusion anisotropy in the corpus callosum reflect increased axon water fraction in poor readers. Both models support this interpretation, highlighting the utility of these approaches for testing specific hypotheses about cognitive development." @default.
- W2913612087 created "2019-02-21" @default.
- W2913612087 creator A5013180024 @default.
- W2913612087 creator A5043572475 @default.
- W2913612087 creator A5057244887 @default.
- W2913612087 creator A5058807565 @default.
- W2913612087 creator A5080927253 @default.
- W2913612087 date "2019-04-01" @default.
- W2913612087 modified "2023-10-17" @default.
- W2913612087 title "Applying microstructural models to understand the role of white matter in cognitive development" @default.
- W2913612087 cites W1551884980 @default.
- W2913612087 cites W1593778750 @default.
- W2913612087 cites W1630337695 @default.
- W2913612087 cites W1797584621 @default.
- W2913612087 cites W1804043205 @default.
- W2913612087 cites W1975478767 @default.
- W2913612087 cites W1984453610 @default.
- W2913612087 cites W1989941331 @default.
- W2913612087 cites W1993525386 @default.
- W2913612087 cites W1997884310 @default.
- W2913612087 cites W2004006028 @default.
- W2913612087 cites W2004893182 @default.
- W2913612087 cites W2005552408 @default.
- W2913612087 cites W2014380567 @default.
- W2913612087 cites W2018903244 @default.
- W2913612087 cites W2019942858 @default.
- W2913612087 cites W2025460487 @default.
- W2913612087 cites W2032254014 @default.
- W2913612087 cites W2034252184 @default.
- W2913612087 cites W2041706109 @default.
- W2913612087 cites W2046630687 @default.
- W2913612087 cites W2050415180 @default.
- W2913612087 cites W2053465090 @default.
- W2913612087 cites W2054583852 @default.
- W2913612087 cites W2055335833 @default.
- W2913612087 cites W2056275659 @default.
- W2913612087 cites W2058067351 @default.
- W2913612087 cites W2059535481 @default.
- W2913612087 cites W2062791478 @default.
- W2913612087 cites W2064774310 @default.
- W2913612087 cites W2075860560 @default.
- W2913612087 cites W2084363893 @default.
- W2913612087 cites W2087166685 @default.
- W2913612087 cites W2088480485 @default.
- W2913612087 cites W2090977534 @default.
- W2913612087 cites W2095796823 @default.
- W2913612087 cites W2103374433 @default.
- W2913612087 cites W2106614830 @default.
- W2913612087 cites W2107294026 @default.
- W2913612087 cites W2107494088 @default.
- W2913612087 cites W2109181684 @default.
- W2913612087 cites W2116823839 @default.
- W2913612087 cites W2117987496 @default.
- W2913612087 cites W2127309075 @default.
- W2913612087 cites W2133902464 @default.
- W2913612087 cites W2137679584 @default.
- W2913612087 cites W2139158372 @default.
- W2913612087 cites W2142018683 @default.
- W2913612087 cites W2142592339 @default.
- W2913612087 cites W2144710750 @default.
- W2913612087 cites W2146991114 @default.
- W2913612087 cites W2149337534 @default.
- W2913612087 cites W2149600133 @default.
- W2913612087 cites W2156040424 @default.
- W2913612087 cites W2157419435 @default.
- W2913612087 cites W2160033652 @default.
- W2913612087 cites W2170480020 @default.
- W2913612087 cites W2198243321 @default.
- W2913612087 cites W2198308731 @default.
- W2913612087 cites W2269202100 @default.
- W2913612087 cites W2575512047 @default.
- W2913612087 cites W2623064601 @default.
- W2913612087 cites W2745760221 @default.
- W2913612087 cites W2768271247 @default.
- W2913612087 cites W2782294002 @default.
- W2913612087 cites W2803641336 @default.
- W2913612087 cites W2806109751 @default.
- W2913612087 doi "https://doi.org/10.1016/j.dcn.2019.100624" @default.
- W2913612087 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/6969248" @default.
- W2913612087 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30927705" @default.
- W2913612087 hasPublicationYear "2019" @default.
- W2913612087 type Work @default.
- W2913612087 sameAs 2913612087 @default.
- W2913612087 citedByCount "34" @default.
- W2913612087 countsByYear W29136120872019 @default.
- W2913612087 countsByYear W29136120872020 @default.
- W2913612087 countsByYear W29136120872021 @default.
- W2913612087 countsByYear W29136120872022 @default.
- W2913612087 countsByYear W29136120872023 @default.
- W2913612087 crossrefType "journal-article" @default.
- W2913612087 hasAuthorship W2913612087A5013180024 @default.
- W2913612087 hasAuthorship W2913612087A5043572475 @default.
- W2913612087 hasAuthorship W2913612087A5057244887 @default.
- W2913612087 hasAuthorship W2913612087A5058807565 @default.
- W2913612087 hasAuthorship W2913612087A5080927253 @default.
- W2913612087 hasBestOaLocation W29136120871 @default.
- W2913612087 hasConcept C121332964 @default.
- W2913612087 hasConcept C126838900 @default.