Speaker-listener coupling and brain dynamics during naturalistic verbal communication in children with autism

自闭症儿童自然言语交流过程中的说者-听者耦合和大脑动态

基本信息

批准号：
9978501
负责人：
Daniel Arthur Abrams
金额：
$ 23.66万
依托单位：
STANFORD UNIVERSITY
依托单位国家：
美国
项目类别：
财政年份：
2020
资助国家：
美国
起止时间：
2020-04-01 至 2022-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9978501
关键词：
Adult Age Auditory area Base of the Brain Behavioral Brain Brain imaging Caregivers Child Childhood Communication Communication impairment Complex Comprehension Computer Analysis Coupling Data Development Ensure Experimental Designs Family Friends Functional Magnetic Resonance Imaging Functional disorder Goals Human Impairment Individual Lateral Link Measures Medial Methodology Methods Modeling Neurobiology Neurocognitive Partner Communications Pattern Perception Prefrontal Cortex Production Reproducibility Research Role School-Age Population Seminal Social Interaction Speech System Time United States National Institutes of Health Voice autism spectrum disorder autistic children base central coherence comprehension deficit design information processing innovation insight novel peer relating to nervous system response social social communication speech processing theories

Adult Age Auditory area Base of the Brain Behavioral Brain Brain imaging Caregivers Child Childhood Communication Communication impairment Complex Comprehension Computer Analysis Coupling Data Development Ensure Experimental Designs Family Friends Functional Magnetic Resonance Imaging Functional disorder Goals Human Impairment Individual Lateral Link Measures Medial Methodology Methods Modeling Neurobiology Neurocognitive Partner Communications Pattern Perception Prefrontal Cortex Production Reproducibility Research Role School-Age Population Seminal Social Interaction Speech System Time United States National Institutes of Health Voice autism spectrum disorder autistic children base central coherence comprehension deficit design information processing innovation insight novel peer relating to nervous system response social social communication speech processing theories

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项目摘要

Project Abstract Speech communication impairments, including persistent difficulties in understanding and interpreting verbal information during conversation, are a hallmark of childhood autism. Speech-based communication unfolds over time, and speech comprehension relies on: (1) anticipation of incoming speech as a means of predicting its content and (2) temporal integration of speech so a listener can accumulate information over time to decode meaning in an extended utterance. Prominent theories of autism spectrum disorder (ASD) posit deficits in contextual and global information processing, which are germane to the anticipation and integration of information during communication. Late childhood is a crucial period for increased and more complex social interactions, including extended discourse between communication partners. Little is known regarding anticipatory and integrative components of speech processing, and their contribution to social communication (SC) deficits, in children with ASD. Advances in experimental design and computational analysis of human brain imaging data provide a unique opportunity to probe dynamic components of speech comprehension during naturalistic social interactions in children with ASD, which are difficult to ascertain using behavioral methods alone. Leveraging innovative fMRI experimental designs, we will for the first time investigate anticipatory and integrative aspects of naturalistic communication in children with ASD. Our overarching goal is to identify the neurocognitive mechanisms underlying speech comprehension deficits during naturalistic communication in children with ASD. The proposed studies include both speaker-listener brain coupling and temporal integration paradigms and build on our high-impact line of voice perception research in children with ASD. We hypothesize that children with ASD will show deficits in dynamic mechanisms of speech comprehension including anticipatory, reactive, and integrative processing with dissociable patterns of dysfunction in the default mode network (DMN), anchored in medial prefrontal cortex (mPFC) and posterior medial cortex (PMC), and lateral frontoparietal network (LFPN). While the DMN is often considered a “task- negative” network, evidence shows that the DMN is crucial for processing social information, including narrative processing, and is closely linked to SC deficits in ASD. We hypothesize a link between these dynamic mechanisms and comprehension of global, but not local, narrative information, supporting the Weak Central Coherence model of ASD. Findings will provide new insights into speech comprehension impairments and advance our understanding of the role of the DMN in SC and ASD. Our studies will provide critical information regarding the neurobiological origins of communication impairments in ASD and will inform the development of age-appropriate treatment for older children with ASD. Our aims are in line with the NIH directive on Autism Research (PA-18-400), emphasizing brain mechanisms and sophisticated measures of social communication.

项目摘要语音交流障碍，包括持续的困难理解和解释口头在谈话中的信息是儿童自闭症的标志。基于语音的沟通正在展开随着时间的流逝和语音理解的依赖：（1）预期传入语音作为预测的一种手段它的内容和（2）语音的暂时集成，因此听众可以随着时间的推移积累信息来解码在延长的话语中的意思。自闭症谱系障碍（ASD）的重要理论分配了缺陷上下文和全球信息处理，这是与预期和整合沟通期间的信息。童年晚期是增加和更复杂社会的关键时期互动，包括沟通伙伴之间的扩展论述。关于语音处理的预期和综合组成部分及其对社会交流的贡献（SC）定义ASD儿童。人类实验设计和计算分析的进步脑成像数据为探测语音理解的动态组成部分提供了独特的机会在ASD儿童的自然主义社交互动期间，很难使用行为来确定这些社交互动单独的方法。利用创新的fMRI实验设计，我们将首次调查 ASD儿童自然主义交流的预期和综合方面。我们的总体目标是识别语音理解的基础神经认知机制定义了自然主义 ASD儿童的沟通。拟议的研究包括说话者上列级脑耦合和临时整合范例并建立在我们对患有儿童的高影响力的语音知觉研究基础上 ASD。我们假设患有ASD的儿童将在语音的动态机制中显示防御理解，包括预期，反应性和集成处理，并具有可分离的模式默认模式网络（DMN）中的功能障碍，锚定在媒体前额叶皮层（MPFC）和后部培养基皮层（PMC）和外侧额叶网络（LFPN）。虽然DMN通常被认为是“任务 - 负”网络，证据表明，DMN对于处理社会信息至关重要，包括叙事处理，并与SC在ASD中的定义紧密相关。我们假设这些动态之间的联系全球的机制和理解，而不是本地叙事信息，支持弱中心 ASD的相干模型。调查结果将为语音理解障碍提供新的见解和促进我们对DMN在SC和ASD中的作用的理解。我们的研究将提供关键信息涉及ASD沟通障碍的神经生物学起源，并将告知适合ASD的年龄较大儿童的年龄治疗。我们的目标与自闭症的NIH指令一致研究（PA-18-400），强调大脑机制和社会交流的复杂措施。