Imaging early development of human neural circuits

人体神经回路早期发育的成像研究 这项研究的总体目标是创造新的成像技术，显著提高我们的 能够在出生前分析大脑功能和功能网络的发育。功能性 磁共振成像(Fmri)为研究神经回路和大脑提供了独特的能力。 活体内的功能连接。然而，胎儿功能磁共振成像的获取和分析受到以下因素的阻碍 三个重要的挑战：1)胎儿运动扰乱了磁共振信号的时空连续性， 2)胎儿和母体器官的运动加剧了几何变形；3)解剖结构 而发育中的胎儿大脑的功能与儿童和成人的明显不同， 因此，目前的处理管道和图谱不足以进行可靠的胎儿fMRI分析。致信地址 这些挑战，我们在这项研究中追求三个具体目标，重点是1)开发一种 基于快速实时图像的前瞻性运动导航胎儿fMRI采集技术 加工，在采集过程中补偿胎头运动和几何变形；2) 开发一种采集后处理技术，从运动重建fMRI时间序列- 修正了因运动和运动校正而在空间和时间上分散的胎儿fMRI数据； 3)评估胎儿功能磁共振成像的实用性和评估早期发育的先进技术。 与健康胎儿相比，先天性心脏病胎儿的神经回路和脑功能的变化。 这一贡献是重要的，因为它1)缓解了在以下领域取得进展的关键障碍 发育神经学和神经科学，允许可靠地使用胎儿fMRI来研究正常和 脑功能发育异常；2)提高胎儿fMRI的效率和疗效 前瞻性地调整扫描以补偿运动和几何扭曲，从而增强我们的 研究大群体的能力；3)提供工具和资源，包括基于地图集的分类和 用于分析胎儿fMRI的处理流水线；以及4)产生关于 先天性心脏病缺氧缺血所致神经发育障碍的起源。这个 在这项研究中开发的技术、资源和知识具有广泛的影响，对 发展神经科学和神经学的高级研究，旨在阐明潜在的 不利的早期生活条件的破坏性影响，包括先天性大脑和心脏疾病。它 希望这些研究有助于更好地理解 神经发育障碍，导致预防策略、治疗，在某些情况下，甚至治愈。

Imaging early development of human neural circuits The overall objective of this research is to create new imaging technology that dramatically improves our ability to analyze the development of brain function and functional networks before birth. Functional magnetic resonance imaging (fMRI) provides a unique capability to study neural circuits and brain functional connections in-vivo. Fetal fMRI acquisition and analysis, however, has been hampered by three important challenges: 1) fetal motion disrupts the spatial and temporal continuity of the MRI signal, 2) geometric distortion is exacerbated by the motion of fetal and maternal organs, and 3) the anatomy and function of the developing fetal brain is distinctly different from those of young children and adults, thus current processing pipelines and atlases are inadequate for reliable fetal fMRI analysis. To address these challenges, we pursue three specific aims in this study, that are focused on 1) developing a prospectively motion navigated fetal fMRI acquisition technology, based on fast real-time image processing, that compensates for the fetal head motion and geometric distortions during acquisitions; 2) developing a post-acquisition processing technique that reconstructs an fMRI time series from motion- corrected fetal fMRI data that are scattered in space and time because of motion and motion correction; and 3) assessing the utility of fetal fMRI and the developed technologies to evaluate early development of neural circuits and brain function in fetuses with congenital heart disease compared to healthy fetuses. This contribution is important because it 1) mitigates a critical barrier to making progress in the field of developmental neurology and neuroscience by allowing reliable use of fetal fMRI in studying normal vs. abnormal development of the brain function; 2) improves the efficiency and efficacy of fetal fMRI through prospectively adjusting scans to compensate for motion and geometric distortions, thus strengthens our ability to study large cohorts; 3) provides tools and resources, including atlas-based parcellation and a processing pipeline for the analysis of fetal fMRI; and 4) generates important knowledge about the origins of disrupted neural development due to hypoxia ischemia in congenital heart disease. The technology, resources, and knowledge developed in this study have a broad impact and are crucial for advanced studies in developmental neuroscience and neurology, aiming to elucidate the potentially devastating effects of adverse early life conditions including congenital disorders of the brain and heart. It is hoped that these studies lead to improved understanding of the underlying causes of neurodevelopmental disorders, leading to preventive strategies, therapies, and in some cases, cure.