幼儿言语网络的结构发展:一个横断面研究。

IF 3.6 Q1 LINGUISTICS
Neurobiology of Language Pub Date : 2025-06-18 eCollection Date: 2025-01-01 DOI:10.1162/nol_a_00168
Marilyn Curtis, Mohammadreza Bayat, Dea Garic, Alliete R Alfano, Melissa Hernandez, Madeline Curzon, Andrea Bejarano, Pascale Tremblay, Shannon Marie Pruden, Paulo Graziano, Anthony Steven Dick
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引用次数: 0

摘要

为了研究发育中的大脑语言功能,对94名4 ~ 7岁儿童进行了磁共振扩散加权成像扫描。为了增加样本量和表现的可变性,我们从一项更大的正在进行的研究中纳入了ADHD儿童(n = 47)。每个孩子都完成了音节重复任务(SRT),这是一种有效的音素发音测量。DWI数据采用限制谱成像技术建模,以测量灰质和白质中受限和受阻的扩散特性。我们使用全脑分析和自动纤维定量(AFQ)分析来分析扩散数据,以建立被认为对支持语言发展重要的六个纤维通路的束谱。在全脑分析中,我们发现SRT表现与左右额下回、左右包部、右侧辅助前运动区和辅助运动区以及左右小脑灰质的扩散受限有关(p < 0.005)。在左侧小脑部和额斜束(FAT)中,年龄调节了这些相关性,但只有小脑的结果在聚类矫正中存活下来。使用AFQ分析突出了表现优异和表现不佳的儿童在特定神经束剖面上的差异,最明显的是左侧而不是右侧脂肪、左侧和右侧上纵束III以及小脑蒂。这些发现表明,言语表现的个体差异反映在灰质和白质的结构性差异上,这是通过限制和阻碍扩散指标来衡量的,并为发展支持幼儿言语的大脑网络提供了重要的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structural Development of Speech Networks in Young Children: A Cross-Sectional Study.

To investigate speech in the developing brain, 94 children aged 4 to 7 years old were scanned using diffusion weighted imaging (DWI) magnetic resonance imaging. To increase sample size and performance variability, we included children with ADHD from a larger ongoing study (n = 47). Each child completed the Syllable Repetition Task (SRT), a validated measure of phoneme articulation. DWI data were modeled using restriction spectrum imaging to measure restricted and hindered diffusion properties in gray and white matter. We analyzed the diffusion data using whole brain analysis and automated fiber quantification (AFQ) analysis to establish tract profiles for the six fiber pathways thought to be important for supporting speech development. In the whole brain analysis, we found that SRT performance was associated with restricted diffusion in left and right inferior frontal gyrus, left and right pars opercularis, right pre-supplementary and supplementary motor area, and left and right cerebellar gray matter (p < 0.005). Age moderated these associations in left pars opercularis and the frontal aslant tract (FAT), but only the cerebellar findings survived a cluster correction. Analyses using AFQ highlighted differences in high and low performing children along specific tract profiles, most notably in left but not right FAT, in left and right superior longitudinal fasciculus III, and in the cerebellar peduncles. These findings suggest that individual differences in speech performance are reflected in structural gray and white matter differences as measured by restricted and hindered diffusion metrics, and offer important insights into developing brain networks supporting speech in very young children.

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来源期刊
Neurobiology of Language
Neurobiology of Language Social Sciences-Linguistics and Language
CiteScore
5.90
自引率
6.20%
发文量
32
审稿时长
17 weeks
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