Core 3: Neuro-Imaging Core

神经成像核心将获取和处理多模态成像数据，以显着提高我们对大脑中多巴胺能信号作用的理解。它将提供其教职员工的广泛专业知识，用于在小鼠，新生婴儿，儿童和青少年中进行脑成像研究 使用结构磁共振成像（MRI）、扩散张量成像（DTI）、灌注MRI、MR波谱（MRS）和高密度EEG。通过应用经过验证和可靠的成像和统计方法，核心将确保中心所有项目的一致性，一致性和规模经济性。 核心将大大有助于加速我们对大脑早期发育过程中不同阶段血清素可用性引起的大脑干扰的理解。为了量化各种皮层和皮层下脑回路的干扰，研究项目将获取和分析多模态MR 数据，并计算各种大脑测量值，包括EEG功率和相干性、大脑区域的局部体积以及区域间连接性。这些措施将与基因型数据相关联，以识别跨物种的基因-大脑-行为相关性，年龄范围从婴儿到成年。此外，核心将通过以下方式确保数据完整性：（1）使用相同的成像量化相同的大脑测量， 该中心的目标是：（1）在所有项目中使用统计方法;（2）严格评估为更好地解决分析来自广泛年龄段参与者的数据所面临的挑战而开发的方法;（3）通过在所有项目中应用图像和统计分析的共同组成部分来利用规模经济，从而大大提高中心的效率和生产力。

The Neuroimaging core will acquire and process multimodal imaging data to enhance significantly our understanding of the effects of serotonergic signaling in the brain. It will provide the extensive expertise of its faculty and staff for conducting brain imaging research in mice, newborn babies, children, and adolescents using structural magnetic resonance imaging (MRI), diffusion tensor imaging (DTI), perfusion MRI, MR spectroscopy (MRS), and high density EEG. By applying validated and reliable imaging and statistical methods, the core will ensure uniformity, consistency, and economy of scale across all projects of the center. The Core will contribute significantly to accelerate our understanding of the disturbances in the brain caused by serotonin availability at various stages during eariy brain development. To quantify disturbances in various cortical and subcortical brain circuits, research projects will acquire and analyze multimodal MR data, and compute various brain measures, including EEG power and coherence, local volumes of brain regions, and between-region connectivity. These measures will be correlated with genotype data to discern the gene-brain-behavior correlates across species, and age ranges from infancy to adulthood. Furthermore, the core will ensure data integrity by (1) quantifying identical brain measures using the same imaging and statistical methods across all projects; (2) rigorously evaluating methods developed to address better the challenges in analyzing data from a wide age range of participants; and (3) exploiting economy of scale by applying common components of image and statistical analyses across all projects, thereby greatly enhancing the efficiency and productivity of the center.