Pediatric Head Models for Improved Imaging of Neurological Development

用于改善神经发育成像的儿科头部模型

基本信息

批准号：
8715176
负责人：
Sergei Turovets
金额：
$ 58.35万
依托单位：
ELECTRICAL GEODESICS, INC.
依托单位国家：
美国
项目类别：
财政年份：
2010
资助国家：
美国
起止时间：
2010-03-01 至 2017-07-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8715176
关键词：
17 year old Accounting Address Adult Age Anatomic Models Anisotropy Atlases Attention deficit hyperactivity disorder Base of the Brain Biological Neural Networks Birth Brain Brain imaging Brain region Cerebrospinal Fluid Child Childhood Clinical Research Cluster Analysis Cognitive Computer software Data Data Analyses Data Collection Development Diffusion Dimensions Disease Electroencephalography Epilepsy Functional Magnetic Resonance Imaging Geometry Goals Head Image Individual Infant Institutes Ionizing radiation Learning Disabilities Location Magnetic Resonance Imaging Manufacturer Name Maps Measures Medical Imaging Mental Depression Mental disorders Metric Modeling Motor Movement Neurocognitive Neurologic Oregon Phase Photic Stimulation Play Population Quantitative Evaluations Radiology Specialty Relative (related person)Research Personnel Risk Role Scanning Seizures Sensory Signal Transduction Source Techniques Testing Thick Tissues United States National Institutes of Health Universities Validation Work age group age related aged base brain size brain tissue cognitive function commercialization cranium density early childhood electric impedance emerging adult gray matter hemodynamics imaging modality improved infancy innovation member morphometry neuroimaging neuroinformatics neurophysiology novel phase 1 study prospective public health relevance reconstruction regional difference repository sensor simulation software development tomography tool web site white matter working group young adult

项目摘要

DESCRIPTION (provided by applicant): While it is well known that the brain undergoes rapid developmental changes from birth to early childhood, remarkably little is understood about the relationship between changes in brain size and composition and cognitive development. Yet several potentially debilitating neurocognitive disorders are a consequence of delays or abnormalities in brain development, and childhood epilepsy has been shown to be associated with an increased risk of learning disabilities, attention-deficit hyperactivity disorder and depression. These associations make it imperative that we gain a better understanding of the relationship between cognitive and anatomical development. In children, the study of cognitive and brain developmental trajectories are best accomplished using non-invasive techniques that are not overly restrictive of movement and do not require ionizing radiation. Of available techniques, electroencephalography (EEG), particularly with the advent of high density sensor arrays, provides the ability to assess cognitive function safely and non-invasively. Our central goal is to develop age- specific pediatric head models to improve current source localization imaging in pediatric populations under the hypothesis that functional localization of cognitively important brain regions and networks requires an accurate model of head tissue geometry and conductivity. This Phase 2 project will build on work accomplished in phase 1 to create age clusters that differ significantly in measures of brain and skull development. For each cluster, we will build and test head models that are accurate both in morphological features and in regional differences in tissue conductivity which plays a critical role in the ability to accurately reconstuct brain network activity from EEG signals. Once age- specific average head models have been developed and tested, we will validate their improved accuracy based on neurophysiological data using EEG and functional magnetic resonance imaging methods in children from infancy to young adulthood. This project will result in the public release of a set of innovative age-specific head models together with newly developed software from our project website (www.pedeheadmod.net). In addition, the project will provide a novel commercial product, Child Geosource(R), which will allow source localization studies without the otherwise limiting need for CT or MR scanning for accurate head models.

描述（由申请人提供）：虽然众所周知，大脑从出生到幼儿期经历快速的发育变化，但人们对大脑大小和组成的变化与认知发展之间的关系知之甚少。然而，一些潜在的使人衰弱的神经认知障碍是大脑发育迟缓或异常的结果，儿童癫痫已被证明与学习障碍、注意力缺陷多动障碍和抑郁症的风险增加有关。这些关联使得我们必须更好地理解认知和解剖学发展之间的关系。对于儿童来说，认知和大脑发育轨迹的研究最好使用非侵入性技术来完成，这种技术不会过度限制运动，也不需要电离辐射。在现有技术中，脑电图（EEG），特别是随着高密度传感器阵列的出现，提供了安全、非侵入性评估认知功能的能力。我们的中心目标是开发特定年龄的儿科头部模型，以改善儿科人群的电流源定位成像，假设认知重要的大脑区域和网络的功能定位需要头部组织几何形状和电导率的准确模型。第二阶段项目将以第一阶段完成的工作为基础，创建在大脑和头骨发育指标上存在显着差异的年龄组。对于每个簇，我们将构建和测试在形态特征和组织电导率区域差异方面均准确的头部模型，这对于根据脑电图信号准确重建大脑网络活动的能力起着至关重要的作用。一旦开发并测试了特定年龄的平均头部模型，我们将使用脑电图和功能磁共振成像方法，根据从婴儿期到成年早期儿童的神经生理学数据来验证其准确性的提高。该项目将公开发布一系列针对特定年龄的创新产品头部模型以及来自我们项目网站 (www.pedeheadmod.net) 的新开发软件。此外，该项目还将提供一种新颖的商业产品 Child Geosource(R)，该产品将允许源定位研究，而无需对精确头部模型进行 CT 或 MR 扫描。