White matter correlates of reading subskills in children with and without reading disability

IF 2.1 2区 心理学 Q1 AUDIOLOGY & SPEECH-LANGUAGE PATHOLOGY
Alexandra M. Cross , Jessica M. Lammert , Lien Peters , Jan C. Frijters , Daniel Ansari , Karen A. Steinbach , Maureen W. Lovett , Lisa M.D. Archibald , Marc F. Joanisse
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引用次数: 2

Abstract

Individual differences in reading ability are associated with characteristics of white matter microstructure in the brain. However, previous studies have largely measured reading as a single construct, resulting in difficulty characterizing the role of structural connectivity in discrete subskills of reading. The present study used diffusion tensor imaging to examine how white matter microstructure, measured by fractional anisotropy (FA), relates to individual differences in reading subskills in children aged 8 to 14 (n = 65). Findings showed positive correlations between FA of the left arcuate fasciculus and measures of single word reading and rapid naming abilities. Negative correlations were observed between FA of the right inferior longitudinal fasciculus and bilateral uncinate fasciculi, and reading subskills, particularly reading comprehension. The results suggest that although reading subskills rely to some extent on shared tracts, there are also distinct characteristics of white matter microstructure supporting different components of reading ability in children.

有和无阅读障碍儿童的阅读亚技能与白质相关
阅读能力的个体差异与大脑白质微观结构的特征有关。然而,以前的研究在很大程度上将阅读作为一个单一的结构来衡量,这导致难以表征结构连接在阅读的离散子技能中的作用。本研究使用扩散张量成像来检查通过分数各向异性(FA)测量的白质微观结构与8-14岁儿童(n=65)阅读亚技能的个体差异之间的关系。研究结果显示,左弓形束的FA与单词阅读和快速命名能力之间呈正相关。右下纵束和双侧钩束FA与阅读亚技能,尤其是阅读理解呈负相关。研究结果表明,尽管阅读亚技能在一定程度上依赖于共有区,但白质微观结构也有不同的特征支持儿童阅读能力的不同组成部分。
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来源期刊
Brain and Language
Brain and Language 医学-神经科学
CiteScore
4.50
自引率
8.00%
发文量
82
审稿时长
20.5 weeks
期刊介绍: An interdisciplinary journal, Brain and Language publishes articles that elucidate the complex relationships among language, brain, and behavior. The journal covers the large variety of modern techniques in cognitive neuroscience, including functional and structural brain imaging, electrophysiology, cellular and molecular neurobiology, genetics, lesion-based approaches, and computational modeling. All articles must relate to human language and be relevant to the understanding of its neurobiological and neurocognitive bases. Published articles in the journal are expected to have significant theoretical novelty and/or practical implications, and use perspectives and methods from psychology, linguistics, and neuroscience along with brain data and brain measures.
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