Predicting language processing efficiency in preterm children: Social-environmental and neuro-biological factors
预测早产儿的语言处理效率:社会环境和神经生物学因素
基本信息
- 批准号:10652435
- 负责人:
- 金额:$ 61.38万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2011
- 资助国家:美国
- 起止时间:2011-04-01 至 2025-05-31
- 项目状态:未结题
- 来源:
- 关键词:Advanced DevelopmentAgeAge MonthsAxonBrainCaregiversChildChild LanguageClinicalDevelopmentEarly InterventionEarly identificationEnrollmentEnvironmentEnvironmental Risk FactorEyeFamilyFundingGrantHearingHumanImpairmentInfantInterventionLaboratoriesLanguageLanguage DevelopmentLanguage TestsLearningLearning DisordersLinkMRI ScansMeasuresMediatingMethodsModelingMyelinNamesNeonatalNeurobiologyOutcomeOutcome MeasureParentsPathogenesisPathway interactionsPediatric HospitalsPerformancePopulation HeterogeneityPopulations at RiskPregnancyPremature BirthPropertyQuality of CareReaction TimeReportingRiskSamplingScanningSpeechStandardizationStructureSurvivorsTestingTimeToddlerVariantVocabularyadverse outcomebrain magnetic resonance imagingclinical practiceeducational atmosphereexperienceextreme prematuritygazehigh riskimprovedinfancylanguage comprehensionlanguage outcomelanguage processinglongitudinal, prospective studylow socioeconomic statusmortalityneonatal periodneonateneuroimagingnon-verbaloutcome predictionprematurepreterm newbornprimary outcomeprocessing speedprogramssecondary outcomeskillssocialverbalvisual trackingwhite matterwhite matter change
项目摘要
Each year in the U.S., more than one in 10 children are born preterm (PT). Approximately half of very
preterm survivors, born at < 32 weeks’ gestation, develop language-based learning impairments that may be
discovered late and put children at substantial risk for poor outcomes throughout their lives. Our previous grant
(HD069150) convincingly demonstrated that language processing efficiency, assessed at 18 months in an eye-
tracking paradigm, called looking-while-listening (LWL), was more predictive of long-term outcomes than
standardized tests and parent reports. PT children who were faster at language processing at 18 months
showed advantages in both verbal and non-verbal skills at 54 months. Our next step is to understand early
predictors of language processing efficiency in PT children. In this renewal, we enroll PT neonates (n = 140)
from two language groups, primarily English- and primarily Spanish families, to increase the diversity of our
sample and to improve generalizability. We assess social-environmental predictors at 12 months (infant
environment) and 18 months (toddler environment) using day-long audio recordings of the child’s language
environment and naturalistic laboratory observations of caregiver-child interactions. We assess neurobiological
predictors, focusing on white matter microstructure, in the neonatal period (neonatal scans) and at 12 months
(infant scans). We use two complementary types of MRI scans to assess white matter axonal properties and
myelin content. At 18 months, the primary outcome measure is language processing speed in the LWL task,
the time it takes the child to shift eye gaze to the picture of an object that was just named. Parent reports of
vocabulary and scores on a standardized test of language development are secondary measures. Our aims
are to: (1) determine if properties of the infant and/or toddler environments predict language processing speed
and secondary outcomes in PT children from the two language-groups; (2) determine if properties of white
matter pathways, assessed from neonatal and/or infant MRI scans, predict language processing speed and
secondary outcomes, after consideration of language group, clinical variables, and other covariates; and (3)
investigate the contributions of social-environmental factors and white matter development on language
processing speed in this diverse sample of children born PT. Our main hypothesis is that relations between
language learning environments and language processing speed are mediated by changes in white matter
development, suggesting that supportive learning environments impact language outcomes because learning
environments advance the development of white matter microstructure. The demonstration that white matter
change mediates the association of social-environmental factors on language outcomes provides a clear
example of experience-dependent plasticity in the human brain. This finding would represent a theoretical
contribution to models of learning and development in PT children across language groups and would inform
clinical practice and early intervention for PT children who are at high risk for poor language outcomes.
每年在美国,超过十分之一的儿童早产(PT)。大约一半的非常
早产存活者,出生时妊娠< 32周,发展语言学习障碍,
发现得晚,使儿童一生都面临着不良后果的巨大风险。我们之前的资助
(HD 069150)令人信服地证明,在18个月的眼睛中评估的语言处理效率-
跟踪范式,称为边听边看(LWL),比
标准化测试和家长报告18个月时语言处理速度更快的PT儿童
在54个月时,在语言和非语言技能方面都表现出优势。我们的下一步是及早了解
预测PT儿童的语言处理效率。在本次更新中,我们入组了PT新生儿(n = 140)
来自两个语言群体,主要是英语和西班牙语家庭,以增加我们的多样性,
抽样调查,以提高普遍性。我们评估了12个月时的社会环境预测因素(婴儿
环境)和18个月(幼儿环境)使用儿童语言的全天录音
环境和自然主义的实验室观察的儿童互动。我们评估神经生物学
预测因子,关注新生儿期(新生儿扫描)和12个月时的白色物质显微结构
(婴儿扫描)。我们使用两种互补类型的MRI扫描来评估白色物质轴突特性,
髓鞘含量在18个月时,主要结果指标是LWL任务中的语言处理速度,
孩子将目光转移到刚刚命名的物体的图片上所花费的时间。家长报告
词汇量和语言发展标准化测试的分数是次要的衡量标准。我们的目标
(1)确定婴儿和/或幼儿环境的特性是否预测语言处理速度
和次要结果在PT儿童从两个语言组;(2)确定是否属性的白色
从新生儿和/或婴儿MRI扫描评估的物质通路,预测语言处理速度,
次要结局,考虑语言组、临床变量和其他协变量后;(3)
研究社会环境因素和白色物质发育对语言的影响
处理速度在这个不同的样本出生的儿童PT。我们的主要假设是,
语言学习环境和语言处理速度是由白色物质的变化介导的
发展,这表明支持性的学习环境影响语言成果,因为学习
环境促进了白色物质微观结构的发展。证明白色物质
变化介导的社会环境因素对语言结果的关联提供了一个明确的
这是人类大脑中依赖经验的可塑性的一个例子。这一发现将代表一个理论
为跨语言群体的PT儿童的学习和发展模式做出贡献,并将为
临床实践和早期干预的PT儿童谁是在高风险的语言效果差。
项目成果
期刊论文数量(17)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Investigating Relations between the NICU Speech Environment and Weight Gain in Infants Born Very Preterm.
调查新生儿重症监护室言语环境与早产婴儿体重增加之间的关系。
- DOI:10.1055/a-2023-8813
- 发表时间:2023
- 期刊:
- 影响因子:2
- 作者:Kumar,Komal;Marchman,VirginiaA;Morales,MayaC;Scala,Melissa;Travis,KatherineE
- 通讯作者:Travis,KatherineE
Nonword Repetition and Language Outcomes in Young Children Born Preterm.
早产幼儿的非单词重复和语言结果。
- DOI:10.1044/2018_jslhr-l-17-0217
- 发表时间:2018
- 期刊:
- 影响因子:0
- 作者:Gresch,LisaD;Marchman,VirginiaA;Loi,ElizabethC;Fernald,Anne;Feldman,HeidiM
- 通讯作者:Feldman,HeidiM
Quality of caregiver-child play interactions with toddlers born preterm and full term: Antecedents and language outcome.
照顾者与早产儿和足月儿的儿童游戏互动的质量:前因和语言结果。
- DOI:10.1016/j.earlhumdev.2017.10.001
- 发表时间:2017
- 期刊:
- 影响因子:2.5
- 作者:Loi,ElizabethC;Vaca,KelseyEC;Ashland,MelanieD;Marchman,VirginiaA;Fernald,Anne;Feldman,HeidiM
- 通讯作者:Feldman,HeidiM
Peekbank: An open, large-scale repository for developmental eye-tracking data of children's word recognition.
Peekbank:一个开放的大型存储库,用于存储儿童单词识别的发展眼球跟踪数据。
- DOI:10.3758/s13428-022-01906-4
- 发表时间:2023
- 期刊:
- 影响因子:5.4
- 作者:Zettersten,Martin;Yurovsky,Daniel;Xu,TianLinger;Uner,Sarp;Tsui,AngelineSinMei;Schneider,RoseM;Saleh,AnnissaN;Meylan,StephanC;Marchman,VirginiaA;Mankewitz,Jessica;MacDonald,Kyle;Long,Bria;Lewis,Molly;Kachergis,George;Hand
- 通讯作者:Hand
Building theories of consistency and variability in children's language development: A large-scale data approach.
- DOI:10.1016/bs.acdb.2021.04.003
- 发表时间:2021
- 期刊:
- 影响因子:0
- 作者:Tsui ASM;Marchman VA;Frank MC
- 通讯作者:Frank MC
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Heidi M. Feldman其他文献
Neonatal inflammation and near-term white matter microstructure in infants born very preterm
- DOI:
10.1016/j.ynirp.2024.100226 - 发表时间:
2024-12-01 - 期刊:
- 影响因子:
- 作者:
Kathryn G. Anderson;Molly F. Lazarus;Lisa Bruckert;Rocio V. Poblaciones;Melissa Scala;Virginia A. Marchman;Heidi M. Feldman;Katherine E. Travis - 通讯作者:
Katherine E. Travis
Variation in Rate of Attention-Deficit/Hyperactivity Disorder Management by Primary Care Providers.
初级保健提供者对注意力缺陷/多动症管理率的变化。
- DOI:
10.1016/j.acap.2019.11.016 - 发表时间:
2019 - 期刊:
- 影响因子:3.1
- 作者:
Y. Bannett;Heidi M. Feldman;Jason P. Bentley;David A. Ansel;C. Jason Wang;Lynne C. Huffman - 通讯作者:
Lynne C. Huffman
Positive Autism Screening in Children Born Preterm
- DOI:
10.1007/s10803-025-06906-9 - 发表时间:
2025-06-05 - 期刊:
- 影响因子:2.800
- 作者:
Nuria Lisset Ontiveros Perez;Pamela M. Rios;Stella Firth Wang;Virginia A. Marchman;Ramkumar Aishworiya;Heidi M. Feldman - 通讯作者:
Heidi M. Feldman
A fork in the road: decision time for behavioral pediatrics.
岔路口:行为儿科的决策时间。
- DOI:
- 发表时间:
1999 - 期刊:
- 影响因子:2.4
- 作者:
Kelly J. Kelleher;S. Scholle;Heidi M. Feldman;David Nace - 通讯作者:
David Nace
Language nutrition for language health in children with disorders: a scoping review
针对语言障碍儿童语言健康的语言营养:范围审查
- DOI:
10.1038/s41390-019-0551-0 - 发表时间:
2019-08-27 - 期刊:
- 影响因子:3.100
- 作者:
Janet Y. Bang;Aubrey S. Adiao;Virginia A. Marchman;Heidi M. Feldman - 通讯作者:
Heidi M. Feldman
Heidi M. Feldman的其他文献
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{{ truncateString('Heidi M. Feldman', 18)}}的其他基金
Poor Reading in Preterms: Neural Basis, Prediction, & Response to Intervention
早产儿的阅读能力差:神经基础、预测、
- 批准号:
8510701 - 财政年份:2012
- 资助金额:
$ 61.38万 - 项目类别:
Poor Reading in Preterms: Neural Basis, Prediction, & Response to Intervention
早产儿的阅读能力差:神经基础、预测、
- 批准号:
8685295 - 财政年份:2012
- 资助金额:
$ 61.38万 - 项目类别:
Poor Reading in Preterms: Neural Basis, Prediction, & Response to Intervention
早产儿的阅读能力差:神经基础、预测、
- 批准号:
8327433 - 财政年份:2012
- 资助金额:
$ 61.38万 - 项目类别:
Poor Reading in Preterms: Neural Basis, Prediction, & Response to Intervention
早产儿的阅读能力差:神经基础、预测、
- 批准号:
8850885 - 财政年份:2012
- 资助金额:
$ 61.38万 - 项目类别:
Poor Reading in Preterms: Neural Basis, Prediction, & Response to Intervention
早产儿的阅读能力差:神经基础、预测、
- 批准号:
9052787 - 财政年份:2012
- 资助金额:
$ 61.38万 - 项目类别:
Predicting language processing efficiency in preterm children: Social-environmental and neuro-biological factors
预测早产儿的语言处理效率:社会环境和神经生物学因素
- 批准号:
10447724 - 财政年份:2011
- 资助金额:
$ 61.38万 - 项目类别:
Predicting language processing efficiency in preterm children: Social-environmental and neuro-biological factors
预测早产儿的语言处理效率:社会环境和神经生物学因素
- 批准号:
10267226 - 财政年份:2011
- 资助金额:
$ 61.38万 - 项目类别:
Predicting language processing efficiency in preterm children: Social-environmental and neuro-biological factors
预测早产儿的语言处理效率:社会环境和神经生物学因素
- 批准号:
10120535 - 财政年份:2011
- 资助金额:
$ 61.38万 - 项目类别:
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