Core 3: Neuro-Imaging Core

神经成像核心将获取和处理多模式成像数据，以显著增强我们对大脑中5-羟色胺能信号影响的理解。它将为其教职员工提供广泛的专业知识，用于对小鼠、新生儿、儿童和青少年进行脑成像研究。 使用结构磁共振成像(MRI)、扩散张量成像(DTI)、灌注磁共振成像(MRI)、磁共振波谱(MRS)和高密度脑电。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。 该核心将极大地促进我们对大脑发育早期不同阶段5-羟色胺供应所引起的大脑紊乱的理解。为了量化不同皮质和皮质下大脑回路中的干扰，研究项目将获取并分析多模式磁共振 数据，并计算各种大脑测量，包括脑电功率和连贯性、大脑区域的局部体积和区域之间的连通性。这些测量将与基因数据相关联，以辨别不同物种和年龄范围从婴儿期到成年期的基因-大脑行为相关。此外，核心将通过以下方式确保数据完整性：(1)使用相同的成像和 这包括：(1)在所有项目中采用统计方法；(2)严格评估为更好地应对来自不同年龄段参与者的数据分析方面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率。

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.