Motion Robust Mapping of Human Brain Functional Connectivity Changes in Utero

子宫内人脑功能连接变化的运动鲁棒映射

基本信息

批准号：
9067148
负责人：
Colin Studholme
金额：
$ 64.3万
依托单位：
UNIVERSITY OF WASHINGTON
依托单位国家：
美国
项目类别：
财政年份：
2013
资助国家：
美国
起止时间：
2013-07-01 至 2019-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/9067148
关键词：
Accounting Acoustic Stimulation Acoustics Address Adult Age Algorithms Anatomy Atlases Awareness Biological Markers Birth Brain Brain Mapping Brain imaging Characteristics Child Childhood Clinical Clinical Research Cognitive Communities Complement Complex Computer Vision Systems Data Data Set Dependency Detection Development Diet Early Diagnosis Early identification Echo-Planar Imaging Elderly Environment Evaluation Fetal Heart Rate Fetal Movement Fetus Functional Magnetic Resonance Imaging Geometry Gestational Age Goals Growth Head Health Heart Rate Human Image Image Analysis Imaging Techniques Individual Left Life Link Location MRI Scans Magnetic Resonance Imaging Maps Measurement Measures Methodology Methods Midbrain structure Morphologic artifacts Motion Neonatal Network-based Neurologic Neurosciences Outcome Measure Pattern Positioning Attribute Predisposition Pregnancy Premature Birth Procedures Process Property Protective Agents Protocols documentation Public Health Recording of previous events Reporting Rest Route Scheme Series Signal Transduction Slice Source Staging Stimulus Stress Structure Techniques Testing Time Tissues Ultrasonography Work base brain health brain tissue design developmental disease experience fetal heart rate monitor imaging modality imaging system improved in utero interest neuropsychiatry neuropsychological novel pediatrician population based premature neonates research clinical testing spatial relationship tool

项目摘要

DESCRIPTION (provided by applicant): Accurate mapping of normal and abnormal patterns of brain development in fetuses and premature neonates is a key factor in the early detection of developmental disorders as well as understanding how external factors can influence early brain growth. The combination of fast multi-slice MRI techniques with computer vision algorithms has recently provided the ability to reliably image 3D brain structure in-utero providing valuable information inaccessible to ultrasound imaging. To complement this new structural information, recently there has been increasing interest in the use of functional MR imaging (fMRI) to map the development of resting state brain function in children, premature neonates and, most recently, fetuses in-utero. This work has revealed signs of a predictable developmental path in the formation of resting state patterns of brain activity present in adults and abnormalities in these patterns in children have been linked with neurological and neuropsychiatric conditions in later life. Such fMRI methods, previously used in adults and children, could provide a unique new window into functional activity in the developing fetal brain. However, the imaging techniques required suffer from an important limitation for use in the fetus: they make use of repeated acquisitions where subtle changes in MR signal provide the measure of interest. Fetal head motion within the scanner perturbs both measurement location and signal level due to the changing relationship between fetal anatomy, maternal anatomy and the scanner. Based on our preliminary results, in this proposal we plan to develop a set of new signal and geometry correction methods specifically for fetal fMRI that combine novel acquisition techniques with post-processing algorithms to provide a new route to addressing these unique problems. This will allow us to collect the first accurate functional MRI data from a range of un-sedated fetuses in ages and activity levels seen in clinical studies. We will develop and validate these methods together with complementary pattern analysis techniques specifically aimed at motion scattered data and employ them to build the first combined 4D structure-function map of brain development in-utero. This will show for the first time the temporal and spatial relationship between structural changes and the development of resting state patterns of brain activity covering the critical age of first clinical MRI scan and the following period of cortical folding. his will help answer such questions as: which tissue zones of the fetal brain such activity begins, and whether the functional patterns are related to the timing of the formation of specific cortical folds. We will collect a range of data that captures fetuses both at different ages and different states of activity representing those seen in typical clinical studies, and in addition collect valuable outcome measures on the babies after birth against which in-utero measure will be evaluated. We release the data to the community as a whole in the form of an open-access 4D atlas. This combined structure-function data will provide a unique new reference for both neuroscience and, in the longer term, clinical evaluation of brain health during pregnancy and premature birth.

描述（由申请人提供）：胎儿和过早新生儿中脑发育的正常和异常模式的准确映射是早期发现发育障碍的关键因素，并了解外部因素如何影响早期大脑的生长。快速的多层MRI技术与计算机视觉算法的结合最近提供了可靠图像3D大脑结构的能力，即在Un-Utero中提供了不可访问的有价值的信息。为了补充这一新的结构信息，最近对使用功能性MR成像（fMRI）来绘制儿童，早产新生儿以及最近的胎儿在 - UTERO中的静息状态脑功能的发展引起了人们的兴趣。这项工作揭示了在成年人中存在的静止状态模式的可预测的发育途径的迹象，而儿童中这些模式中存在异常的迹象与以后生活中的神经和神经精神病状况有关。这种以前在成人和儿童中使用的FMRI方法可以为发展中胎儿大脑的功能活动提供独特的新窗口。但是，需要在胎儿中使用的成像技术受到重要的限制：它们利用重复采集，MR信号的微妙变化提供了感兴趣的衡量标准。扫描仪内的胎儿头运动由于胎儿解剖结构，母体解剖结构和扫描仪之间的关系而变化，因此测量位置和信号水平均存在。基于我们的初步结果，在此提案中，我们计划开发一套专门针对胎儿fMRI的新信号和几何校正方法，这些方法将新颖的采集技术与后处理算法相结合，以提供解决这些独特问题的新途径。这将使我们能够在临床研究中看到的年龄和活性水平的一系列未经隔离的胎儿收集第一个准确的功能MRI数据。我们将开发和验证这些方法以及专门针对运动散射数据的互补模式分析技术，并使用它们来构建第一个组合的4D结构 - 结构 - 函数函数函数函数映射。这将首次显示结构变化与脑活动静止状态模式之间的时间和空间关系，涵盖了首次临床MRI扫描的关键年龄和随后的皮质折叠时期。他的将有助于回答以下问题：这种活动开始的胎儿大脑的哪些组织区域以及功能模式是否与特定皮质形成的时间有关折叠。我们将收集一系列数据，这些数据捕获不同年龄段的胎儿和代表典型临床研究中看到的胎儿，并在出生后对婴儿进行了有价值的结果指标，以评估该量度的未含量。我们以开放式4D地图集的形式向社区发布数据。该结合结构功能数据将为神经科学提供独特的新参考，从长远来看，在怀孕和早产期间对大脑健康的临床评估。