Integrity and Dynamic Processing Efficiency of Networks in ASD

ASD 中网络的完整性和动态处理效率

• 批准号: 9267538
• 负责人: Ralph-Axel Mueller
• 金额: $ 59.8万
• 依托单位: SAN DIEGO STATE UNIVERSITY
• 依托单位国家: 美国
• 财政年份: 2014
• 资助国家: 美国
• 起止时间: 2014-08-10 至 2019-04-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9267538
• 关键词: Address; Adolescent; Adult; Affect; Anatomy; Area; Behavioral; Biological; Biological Markers; Brain; Brain region; Characteristics; Child; Cognitive; Conflict (Psychology); Consensus; Data; Diagnostic; Diffuse; Diffusion Magnetic Resonance Imaging; Disease; Electroencephalography; Frequencies; Functional Magnetic Resonance Imaging; Genetic; Growth; Health Benefit; Impaired cognition; Impairment; Investigation; Lateral; Left; Light; Link; Literature; Magnetic Resonance Imaging; Magnetoencephalography; Measures; Medial; Methodology; Modality; Motor; Multimodal Imaging; Nature; Neurologic; Neuropsychology; Participant; Phase; Prefrontal Cortex; Public Health; Publishing; Reporting; Research; Retrieval; Semantics; Severities; Signal Transduction; Symptoms; System; Task Performances; Techniques; Temporal Lobe; Testing; Time; Visual; Visual Cortex; autism spectrum disorder; base; biomarker identification; blood oxygen level dependent; brain abnormalities; cognitive control; disorder subtype; early onset; functional disability; gray matter; improved; indexing; lexical; network dysfunction; neuroimaging; public health relevance; semantic processing; spatiotemporal; symptomatology; targeted treatment; temporal measurement; tractography; white matter

DESCRIPTION (provided by applicant): A growing functional connectivity MRI (fcMRI) and diffusion tensor imaging (DTI) literature suggests that cognitive, sociocommunicative, and sensorimotor impairments in autism spectrum disorders (ASD) are associated with impaired brain network connectivity. However few ASD studies to date have combined measures of functional and anatomical connectivity. Even more importantly, there are no studies combining these with measures of dynamic processing, as provided by magnetoencephalography (MEG). We propose to use fcMRI, DTI, and MEG for a comprehensive investigation of connectivity in ASD, selecting a task paradigm to identify a visual, lexico-semantic, executive, and motor (VLSEM) circuit for an exemplary set of network nodes. Data from sixty adolescents with ASD and 60 matched typically developing (TD) participants will be acquired to pursue four specific aims: (1) To identify nodes of a VLSEM circuit using fMRI during lexical-semantic decision and to examine the functional connectivity within this circuit and between nodes and the remaining brain. (2) To examine the dynamic, spatiotemporal characteristics of the VLSEM circuit, using MEG in time-domain and time-frequency analyses including phase-locked co-oscillation in several frequency bands. (3) To examine the anatomical integrity of connections within the VLSEM circuit using probabilistic DTI tractography, and to test for links between fcMRI, MEG, and DTI measures. (4) To examine the relation of functional and anatomical connectivity as well as dynamic processing with diagnostic and neuropsychological measures in the ASD group. The study will contribute multimodal imaging evidence for an improved and comprehensive understanding of brain network abnormalities in ASD. Such evidence will be particularly important for the identification of biomarkers of ASD, including those which may distinguish biological subtypes of the disorder. The contribution to the search for biomarkers will have public health benefit because such biomarkers will be crucial for the identification of genetic and other causes of ASD needed for targeted treatment.

描述（由申请人提供）：增长的功能连通性MRI（FCMRI）和扩散张量成像（DTI）文献表明，自闭症谱系障碍（ASD）的认知，社交和感觉运动障碍与受损脑网络网络连接性受损有关。但是，迄今为止，很少有ASD研究综合了功能和解剖连通性的度量。更重要的是，没有研究将这些研究与动态处理的度量相结合，这是磁脑摄影（MEG）提供的。我们建议使用FCMRI，DTI和MEG对ASD中的连接性进行全面研究，选择任务范式来识别视觉，词典 - 语义，高管和电动机（VLSEM）电路，以进行示例性的网络节点集。将获取来自ASD和60个匹配的60名青少年通常开发（TD）参与者的数据，以追求四个特定的目标：（1）在词汇示意决策过程中，使用fMRI识别VLSEM电路的节点，并检查该电路内以及节点和剩余大脑之间的功能连接性。 （2）使用MEG在时域和时频分析中检查VLSEM电路的动态时空特性，包括几个频带中的相锁共振荡。 （3）使用概率DTI拖拉术检查VLSEM电路中连接的解剖完整性，并测试FCMRI，MEG和DTI测量方案之间的联系。 （4）检查ASD组中功能和解剖连通性以及动态处理与诊断和神经心理学指标的关系。该研究将为ASD中脑网络异常的改进和全面了解多模式成像证据。此类证据对于鉴定ASD的生物标志物（包括可以区分疾病的生物亚型的生物标志物）尤其重要。对寻找生物标志物的贡献将具有公共卫生利益，因为这种生物标志物对于识别遗传和 目标治疗所需的其他ASD原因。