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幼儿言语网络的结构发展:一项横断面研究。

Structural Development of Speech Networks in Young Children: A Cross-Sectional Study.

作者信息

Curtis Marilyn, Bayat Mohammadreza, Garic Dea, Alfano Alliete R, Hernandez Melissa, Curzon Madeline, Bejarano Andrea, Tremblay Pascale, Pruden Shannon Marie, Graziano Paulo, Dick Anthony Steven

机构信息

Florida International University, Miami, FL, USA.

Carolina Institute for Developmental Disabilities, School of Medicine, University of North Carolina at Chapel Hill, Carrboro, NC, USA.

出版信息

Neurobiol Lang (Camb). 2025 Jun 18;6. doi: 10.1162/nol_a_00168. eCollection 2025.

DOI:10.1162/nol_a_00168
PMID:40584049
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12204736/
Abstract

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 ( = 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 ( < 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.

摘要

为了研究发育中大脑的言语功能,我们使用扩散加权成像(DWI)磁共振成像对94名4至7岁的儿童进行了扫描。为了增加样本量和表现变异性,我们纳入了来自一项正在进行的更大规模研究中的多动症儿童(n = 47)。每个孩子都完成了音节重复任务(SRT),这是一种经过验证的音素发音测量方法。DWI数据使用受限谱成像进行建模,以测量灰质和白质中的受限和阻碍扩散特性。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言语发展很重要的六条纤维通路的束状图谱。在全脑分析中,我们发现SRT表现与左右额下回、左右岛盖部、右侧前辅助运动区和辅助运动区以及左右小脑灰质中的受限扩散有关(p < 0.005)。年龄调节了左岛盖部和额斜束(FAT)中的这些关联,但只有小脑的结果在簇校正后仍然显著。使用AFQ的分析突出了高表现和低表现儿童在特定束状图谱上的差异,最明显的是在左侧而非右侧的FAT、左右上纵束III以及小脑脚。这些发现表明,言语表现的个体差异反映在通过受限和阻碍扩散指标测量的结构灰质和白质差异中,并为支持幼儿言语发展的大脑网络发育提供了重要见解。

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本文引用的文献

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