PDF(Pubmed)
Abstract：
BACKGROUND: Language delay affects near- and long-term social communication and learning in toddlers, and, an increasing number of experts pay attention to it. The development of prosody discrimination is one of the earliest stages of language development in which key skills for later stages are mastered. Therefore, analyzing the relationship between brain discrimination of speech prosody and language abilities may provide an objective basis for the diagnosis and intervention of language delay.
METHODS: In this study, all cases(n = 241) were enrolled from a tertiary women\'s hospital, from 2021 to 2022. We used functional near-infrared spectroscopy (fNIRS) to assess children\'s neural prosody discrimination abilities, and a Chinese communicative development inventory (CCDI) were used to evaluate their language abilities.
RESULTS: Ninety-eight full-term and 108 preterm toddlers were included in the final analysis in phase I and II studies, respectively. The total CCDI screening abnormality rate was 9.2% for full-term and 34.3% for preterm toddlers. Full-term toddlers showed prosody discrimination ability in all channels except channel 5, while preterm toddlers showed prosody discrimination ability in channel 6 only. Multifactorial logistic regression analyses showed that prosody discrimination of the right angular gyrus (channel 3) had a statistically significant effect on language delay (odd ratio = 0.301, P < 0.05) in full-term toddlers. Random forest (RF) regression model presented that prosody discrimination reflected by channels and brain regions based on fNIRS data was an important parameter for predicting language delay in preterm toddlers, among which the prosody discrimination reflected by the right angular gyrus (channel 4) was the most important parameter. The area under the model Receiver operating characteristic (ROC) curve was 0.687.
CONCLUSIONS: Neural prosody discrimination ability is positively associated with language development, assessment of brain prosody discrimination abilities through fNIRS could be used as an objective indicator for early identification of children with language delay in the future clinical application.
METHODS: In this study, all cases(n = 241) were enrolled from a tertiary women\'s hospital, from 2021 to 2022. We used functional near-infrared spectroscopy (fNIRS) to assess children\'s neural prosody discrimination abilities, and a Chinese communicative development inventory (CCDI) were used to evaluate their language abilities.
RESULTS: Ninety-eight full-term and 108 preterm toddlers were included in the final analysis in phase I and II studies, respectively. The total CCDI screening abnormality rate was 9.2% for full-term and 34.3% for preterm toddlers. Full-term toddlers showed prosody discrimination ability in all channels except channel 5, while preterm toddlers showed prosody discrimination ability in channel 6 only. Multifactorial logistic regression analyses showed that prosody discrimination of the right angular gyrus (channel 3) had a statistically significant effect on language delay (odd ratio = 0.301, P < 0.05) in full-term toddlers. Random forest (RF) regression model presented that prosody discrimination reflected by channels and brain regions based on fNIRS data was an important parameter for predicting language delay in preterm toddlers, among which the prosody discrimination reflected by the right angular gyrus (channel 4) was the most important parameter. The area under the model Receiver operating characteristic (ROC) curve was 0.687.
CONCLUSIONS: Neural prosody discrimination ability is positively associated with language development, assessment of brain prosody discrimination abilities through fNIRS could be used as an objective indicator for early identification of children with language delay in the future clinical application.
摘要：
背景：语言延迟会影响幼儿的近期和长期社交交流和学习，and,越来越多的专家关注它。韵律歧视的发展是语言发展的最早阶段之一，掌握了后期阶段的关键技能。因此,分析语言韵律的大脑辨别力与语言能力的关系，可以为语言延迟的诊断和干预提供客观依据。
方法：在本研究中，所有病例（n=241）均来自三级妇女医院，从2021年到2022年。我们使用功能近红外光谱（fNIRS）来评估儿童的神经韵律辨别能力，并使用中文交际发展清单（CCDI）来评估他们的语言能力。
结果：在I期和II期研究的最终分析中纳入了98名足月和108名早产幼儿，分别。足月CCDI筛查总异常率为9.2％，早产儿为34.3％。足月幼儿在除通道5外的所有通道中均显示出韵律辨别能力，而早产幼儿仅在通道6中显示出韵律辨别能力。多因素logistic回归分析表明，右角回（通道3）的韵律判别对足月幼儿的语言延迟有统计学意义（奇数比=0.301，P<0.05）。随机森林（RF）回归模型表明，基于fNIRS数据的通道和大脑区域反映的韵律判别是预测早产儿语言延迟的重要参数。其中由右角回（通道4）反映的韵律判别是最重要的参数。模型接收器工作特征(ROC)曲线下面积为0.687。
结论：神经韵律辨别能力与语言发育呈正相关，通过fNIRS对脑韵律辨别能力的评估可作为未来临床应用中早期识别语言延迟儿童的客观指标.
方法：在本研究中，所有病例（n=241）均来自三级妇女医院，从2021年到2022年。我们使用功能近红外光谱（fNIRS）来评估儿童的神经韵律辨别能力，并使用中文交际发展清单（CCDI）来评估他们的语言能力。
结果：在I期和II期研究的最终分析中纳入了98名足月和108名早产幼儿，分别。足月CCDI筛查总异常率为9.2％，早产儿为34.3％。足月幼儿在除通道5外的所有通道中均显示出韵律辨别能力，而早产幼儿仅在通道6中显示出韵律辨别能力。多因素logistic回归分析表明，右角回（通道3）的韵律判别对足月幼儿的语言延迟有统计学意义（奇数比=0.301，P<0.05）。随机森林（RF）回归模型表明，基于fNIRS数据的通道和大脑区域反映的韵律判别是预测早产儿语言延迟的重要参数。其中由右角回（通道4）反映的韵律判别是最重要的参数。模型接收器工作特征(ROC)曲线下面积为0.687。
结论：神经韵律辨别能力与语言发育呈正相关，通过fNIRS对脑韵律辨别能力的评估可作为未来临床应用中早期识别语言延迟儿童的客观指标.
