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本文引用的文献

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Validation of the Language ENvironment Analysis (LENA) Automated Speech Processing Algorithm Labels for Adult and Child Segments in a Sample of Families From India.印度家庭样本中成人和儿童片段的语言环境分析(LENA)自动语音处理算法标签的验证
J Speech Lang Hear Res. 2025 Jan 2;68(1):40-53. doi: 10.1044/2024_JSLHR-24-00099. Epub 2024 Dec 5.
2
Canonical babbling trajectories across the first year of life in autism and typical development.自闭症与典型发育儿童生命第一年的典型咿呀轨迹。
Autism. 2024 Dec;28(12):3078-3091. doi: 10.1177/13623613241253908. Epub 2024 May 17.
3
Semi-Automatic Assessment of Vocalization Quality for Children With and Without Angelman Syndrome.儿童有无 Angelman 综合征时发声质量的半自动评估。
Am J Intellect Dev Disabil. 2023 Nov 1;128(6):425-448. doi: 10.1352/1944-7558-128.6.425.
4
Vocal Characteristics of Infants at Risk for Speech Motor Involvement: A Scoping Review.言语运动障碍高风险婴儿的发声特点:范围综述。
J Speech Lang Hear Res. 2023 Nov 9;66(11):4432-4460. doi: 10.1044/2023_JSLHR-23-00336. Epub 2023 Oct 18.
5
Differentiating early sensory profiles in toddlers at elevated likelihood of autism and association with later clinical outcome and diagnosis.区分高自闭症风险幼儿的早期感觉特征,以及与后期临床结局和诊断的关联。
Autism. 2024 Jul;28(7):1654-1666. doi: 10.1177/13623613231200081. Epub 2023 Oct 5.
6
Sex differences in infant vocalization and the origin of language.婴儿发声中的性别差异与语言的起源
iScience. 2023 May 31;26(6):106884. doi: 10.1016/j.isci.2023.106884. eCollection 2023 Jun 16.
7
Understanding speech and language in tuberous sclerosis complex.结节性硬化症中的言语和语言理解
Front Hum Neurosci. 2023 Jun 1;17:1149071. doi: 10.3389/fnhum.2023.1149071. eCollection 2023.
8
A home-based longitudinal study of vocalization behaviors across infants at low and elevated risk of autism.一项针对自闭症低风险和高风险婴儿发声行为的家庭纵向研究。
Autism Dev Lang Impair. 2021 Nov 24;6:23969415211057658. doi: 10.1177/23969415211057658. eCollection 2021 Jan-Dec.
9
Infants later diagnosed with autism have lower canonical babbling ratios in the first year of life.后来被诊断为自闭症的婴儿在生命的第一年有较低的典型咿呀学语比率。
Mol Autism. 2022 Jun 27;13(1):28. doi: 10.1186/s13229-022-00503-8.
10
Longitudinal Study of Vocal Development and Language Environments in Infants With Cleft Palate.腭裂婴儿的嗓音发展与语言环境的纵向研究。
Cleft Palate Craniofac J. 2022 Oct;59(10):1286-1298. doi: 10.1177/10556656211042513. Epub 2021 Nov 17.

评估从日后被诊断为自闭症谱系障碍的婴儿一整天的音频记录中提取的典型咿呀学语比率。

Evaluating canonical babbling ratios extracted from day-long audio recordings in infants later diagnosed with autism spectrum disorder.

作者信息

Meera Shoba S, Swaminathan Divya, Pawar Rahul, Yankowitz Lisa, Donovan Kevin, Khuu Khavi, Parish-Morris Julia, Warren Steven F, Estes Annette, Zwaigenbaum Lonnie, Clements Mark, Anderson David V, Schultz Robert T, Hazlett Heather C, John Tanya St, Pandey Juhi, Marrus Natasha, Botteron Kelly, Dager Stephen R, Swanson Meghan R, Watson Linda R, Piven Joseph

机构信息

Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences, Bangalore, India; Carolina Institute for Developmental Disabilities, University of North Carolina at Chapel Hill, NC, USA.

Department of Speech Pathology and Audiology, National Institute of Mental Health and Neurosciences, Bangalore, India.

出版信息

Infant Behav Dev. 2025 Jun;79:102059. doi: 10.1016/j.infbeh.2025.102059. Epub 2025 Apr 25.

DOI:10.1016/j.infbeh.2025.102059
PMID:40286507
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12148686/
Abstract

Canonical babbling (CB) is a critical developmental milestone that typically occurs in the second half of the first year of life. Studies focusing on CB in infants at elevated familial likelihood for autism spectrum disorder (ASD) or who later receive an ASD diagnosis are limited and the evidence is mixed. CB comprises a series of canonical syllables (CS) which are defined as the rapid transitions between consonant-like sounds paired with vowel-like sounds (e.g., [gugugu]). One way of measuring CB is by computing canonical babbling ratio (CBR) i.e. total number of CS divided by the total number of syllables. If the child has reached the criterion of 0.15 CBR it is said that they have achieved the CB stage. For several years now, CB has been measured using short lab based or home-based video recordings which may not represent a child's natural vocalization pattern since child vocalizations fluctuate throughout the day. Day long audio recordings, that capture a child's vocalizations throughout the day, has the potential to overcome this limitation. Therefore, the current study aimed to answer whether CBRs computed from day-long audio recordings using the language environment analysis (LENA®) were different among infants at elevated familial likelihood for ASD who receive an ASD diagnosis (EL-ASD; n = 11), who did not receive an ASD diagnosis (EL-Neg; n = 32) and infants at low likelihood for ASD (LL-Neg; n = 25) at 9 and 15 months. The study also aimed to evaluate if there are group differences in reaching the canonical babbling stage at 9 and 15 months and are CBRs at 9 and 15 months associated with later language abilities at 24 months. Findings indicated no group differences in mean CBRs at 9 and 15 months and no association with later language abilities. However, we found that children in the EL-ASD group were less likely to reach the 0.15 CBR threshold for being in the canonical babbling stage by 9 months of age. Thus, suggesting that a diagnosis of ASD is associated with delays in CB for some children. Future work in this area must include a larger sample and more standardized annotation protocols to harmonize results across studies and ensure replication.

摘要

典型牙牙学语(CB)是一个关键的发育里程碑,通常出现在生命的第一年下半年。针对自闭症谱系障碍(ASD)家族患病风险较高或后来被诊断为ASD的婴儿的CB研究有限,证据也不一致。CB由一系列典型音节(CS)组成,这些音节被定义为类似辅音的声音与类似元音的声音之间的快速转换(例如,[gugugu])。测量CB的一种方法是计算典型牙牙学语比率(CBR),即CS的总数除以音节的总数。如果儿童达到了0.15 CBR的标准,就可以说他们达到了CB阶段。多年来,CB一直通过基于实验室的短时间或家庭视频记录来测量,这可能无法代表儿童的自然发声模式,因为儿童的发声在一天中会有所波动。全天的音频记录能够捕捉儿童一整天的发声,有可能克服这一局限性。因此,本研究旨在回答,对于家族ASD患病风险较高且被诊断为ASD的婴儿(EL-ASD;n = 11)、未被诊断为ASD的婴儿(EL-Neg;n = 32)以及ASD患病风险较低的婴儿(LL-Neg;n = 25),在9个月和15个月时,使用语言环境分析(LENA®)从全天音频记录中计算出的CBR是否存在差异。该研究还旨在评估在9个月和15个月时达到典型牙牙学语阶段是否存在组间差异,以及9个月和15个月时的CBR是否与24个月时的后期语言能力相关。研究结果表明,在9个月和15个月时,平均CBR不存在组间差异,且与后期语言能力无关。然而,我们发现EL-ASD组的儿童在9个月大时达到典型牙牙学语阶段的0.15 CBR阈值的可能性较小。因此,这表明对于一些儿童来说,ASD的诊断与CB延迟有关。该领域未来的工作必须包括更大的样本和更标准化的注释方案,以统一各研究的结果并确保可重复性。