Functional brain developments during movie watching and resting-state in autism spectrum disorder

项目摘要 自闭症谱系障碍（ASD）通常在儿童早期被诊断出来。理解发展 典型发育儿童和ASD儿童的大脑功能曲线将有助于了解大脑 ASD的相关性。在这个项目中，我们将分析1,000多名儿童的功能性MRI（fMRI）数据， 来描绘大脑发育曲线。 功能磁共振成像通常用于研究大脑的功能。通常，参与者会被要求做一些 在电脑上完成严格设计的任务，或者只是躺在扫描仪上，不去想一件特别的事情。一个更 已经提出了一种自然的方式来执行扫描，其中要求参与者观看短电影剪辑 在扫描过程中。然而，用于电影观看数据的数据分析变得复杂。我们已经开发 一种新的方法来检查在看电影时大脑区域之间的功能通信。在这 项目，我们将比较我们的新方法与现有的方法。 该项目分为两个部分。在第一部分中，我们将研究数百个典型的大脑发育， 发育中的儿童。我们将比较看电影和休息状态的数据，并比较不同的 分析方法研究结果将帮助我们找到更好的方法来绘制发育中的大脑。在第二部分中， 我们将比较ASD患者和那些典型的 个体这些数据可以帮助我们建立一种更好的方法来扫描ASD个体，以及一种更好的方法来 描述ASD的大脑功能

Project summary Autism spectrum disorder (ASD) is usually diagnosed early in childhood. Understanding the developmental curves of brain functions in typically developing children and children with ASD will help to understand the brain correlates of ASD. In this project, we will analyze functional MRI (fMRI) data of more than 1,000 children and adults to portrait brain developmental curves. FMRI has been commonly used to study brain functions in action. Usually, participants are asked to do some strictly designed tasks on a computer, or simply lay in the scanner without thinking a thing in particular. A more natural way to perform scanning has been proposed, where the participants are asked to watch short movie clips during the scanning. However, data analysis for movie watching data becomes complicated. We have developed a novel method to examine functional communications between brain regions during movie watching. In this project, we will compare our new method with existing methods. The project is divided into two parts. In the first part, we will study brain developments in hundreds of typically developing children. We will compare data from movie watching and resting-state, and compare different analysis methods. The results will help us find better methods to chart the developing brain. In the second part, we will compare the developing curves between individuals with ASD and those in typically developing individuals. The data may help us to establish a better way to scan individuals of ASD, and a better way to characterize brain functions in ASD.