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：
8509448
负责人：
Colin Studholme
金额：
$ 65.01万
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 2017-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8509448
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 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 Monitor Morphologic artifacts Motion Neonatal Network-based Neurologic Neurosciences Outcome Measure Pattern Positioning Attribute Predisposition Pregnancy Premature Birth Prematurity of fetus 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 System Techniques Testing Time Tissues Ultrasonography Work base brain tissue design developmental disease experience fetal imaging modality improved in utero interest neonate neuropsychiatry neuropsychological novel pediatrician population based premature public health relevance 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）：准确绘制胎儿和早产儿大脑发育的正常和异常模式是早期发现发育障碍以及了解外部因素如何影响早期大脑生长的关键因素。快速多层 MRI 技术与计算机视觉算法的结合最近提供了在子宫内可靠地对 3D 大脑结构进行成像的能力，从而提供了超声成像无法获得的有价值的信息。为了补充这一新的结构信息，最近人们对使用功能性磁共振成像 (fMRI) 来绘制儿童、早产儿以及最近的宫内胎儿的静息状态大脑功能发育图越来越感兴趣。这项工作揭示了成人大脑活动静息状态模式形成过程中可预测的发育路径的迹象，而儿童这些模式的异常与以后生活中的神经系统和神经精神疾病有关。这种功能磁共振成像方法以前用于成人和儿童，可以为了解发育中的胎儿大脑的功能活动提供一个独特的新窗口。然而，所需的成像技术在胎儿中使用时受到一个重要的限制：它们利用重复采集，其中 MR 信号的细微变化提供了感兴趣的测量。由于胎儿解剖结构、母亲解剖结构和扫描仪之间关系的变化，扫描仪内的胎儿头部运动会干扰测量位置和信号水平。根据我们的初步结果，在本提案中，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，将新颖的采集技术与后处理算法相结合，为解决这些独特问题提供新途径。这将使我们能够从临床研究中观察到的一系列未服用镇静剂的胎儿的年龄和活动水平中收集第一批准确的功能性 MRI 数据。我们将开发和验证这些方法以及专门针对运动分散数据的补充模式分析技术，并利用它们构建第一个子宫内大脑发育的组合 4D 结构功能图。这将首次显示结构变化与大脑活动静息态模式发展之间的时间和空间关系，涵盖首次临床 MRI 扫描的关键年龄和随后的皮质折叠时期。他将有助于回答以下问题：此类活动开始于胎儿大脑的哪些组织区域，以及功能模式是否与特定皮质的形成时间有关。褶皱。我们将收集一系列数据，捕获代表典型临床研究中不同年龄和不同活动状态的胎儿的数据，此外还收集婴儿出生后有价值的结果指标，并根据这些指标评估宫内指标。我们以开放获取的 4D 图集的形式向整个社区发布数据。这种结构-功能相结合的数据将为神经科学以及从长远来看，怀孕和早产期间大脑健康的临床评估提供独特的新参考。