Traumatic Brain Injury Data for FITBIR Informatics system

FITBIR 信息学系统的创伤性脑损伤数据

基本信息

批准号：
8745266
负责人：
RAO P GULLAPALLI
金额：
$ 15.35万
依托单位：
UNIVERSITY OF MARYLAND BALTIMORE
依托单位国家：
美国
项目类别：
财政年份：
2014
资助国家：
美国
起止时间：
2014-04-01 至 2016-03-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8745266
关键词：
Acceleration Accounting Algorithms American Apoptotic Archives Area Behavioral Biological Markers Blast Cell Blood Vessels Brain Brain Injuries Cause of Death Cell Death Cell membrane Centers for Disease Control and Prevention (U.S.)Clinical Cognitive Common Data Element Communities Data Data Element Data Quality Data Set Databases Deceleration Development Diffuse Axonal Injury Diffusion Diffusion Magnetic Resonance Imaging Disease Edema Emotional Ensure Event Functional Magnetic Resonance Imaging Funding Grant Growth Head Health Image Imaging Techniques Impaired cognition Individual Inflammation Informatics Information Systems Injury Institutes Ischemia Lactic Acidosis Lead Literature Location Magnetic Resonance Imaging Magnetic Resonance Spectroscopy Measures Mechanics Mental Depression Metabolism Methods Midbrain structure Military Personnel Molecular Monitor Necrosis Nerve Degeneration Outcome Pathway interactions Patients Performance Physical Function Physiological Population Post-Concussion Syndrome Predisposition Process Production Publications Quality Control Reactive Oxygen Species Research Research Personnel Resolution Rest Role Sample Size Sensitivity and Specificity Severities Site Source Spin Labels Syndrome System TBI Patients Testing Thalamic structure Time Training Traumatic Brain Injury United States National Institutes of Health Variant Weight Work base brain tissue cognitive function demographics disability disorder prevention drug development functional outcomes gray matter interest mitochondrial dysfunction neuropsychological neurotransmitter release novel novel therapeutic intervention post-traumatic stress prognostic white matter

项目摘要

DESCRIPTION (provided by applicant): Traumatic brain injury (TBI) is a major cause of death and disability in both civilian and military populations. Several publications regarding TBI including those involving imaging have hinted towards potential clinical and imaging biomarkers. However, no clear picture has emerged regarding the prognostic value of these biomarkers or imaging markers that could be used to initiate drug development and validate novel therapeutic interventions. Thanks to the efforts of NIH and the DOD, in recent years there has been a tremendous growth in TBI imaging research across the nation and worldwide. We have been fortunate to participate in TBI research since early 2000's, which has generated significant amount of clinical, behavioral and advanced MR imaging data. We and the larger TBI research community would significantly benefit if we pool our data into a single unified database such as the FITBIR information system. This would provide us access to a large amount of data that is not possible to generate at single site, and allow individual investigators to test their hypothese using novel algorithms. This may be the only way to arrive at imaging markers that have high sensitivity and specificity for a disease that can take such variable paths. Besides data from conventional MR, the imaging data that we can provide to FITBIR includes advanced imaging techniques such as diffusion tensor imaging, diffusion kurtosis imaging, MR spectroscopy, arterial spin labeling, high-resolution volumetrics, susceptibility-weighted imaging, and resting state and task based fMRI. In addition, we will also be providing longitudinal imaging data across 18 months (four total time points) on a subset of these patients. We are also interested in testing our preliminary findings from our study to determine if our results extend to larger datasets from various other institutes given their own experimental variations. The effect of an impact to the head on any given location can have varied consequences, and will depend on several factors including the acceleration forces involved, type of injury (whether mechanical or blast), and the demographics of the patient. Therefore, a clear picture can only emerge from studies with much larger sample sizes to account for the heterogeneous disease processes. A database such as FITBIR which is poised to collect data from various investigators and continue to add data from future research projects would be enormously beneficial to individual researchers interested in various aspects of TBI. As a group, we have already been trained on the use of FITBIR and are familiar with creating new common data elements and unique data elements when necessary. In addition we will benefit from FITBIR by having access to larger amounts of DTI, resting state, and volumetric data to further study the role of the thalamus and the mid-brain and to understand the involvement of different brain networks that leads to both neurodegeneration and reparation. It is hoped that we and other TBI researchers alike can benefit from this large database to identify clinical and imaging biomarkers that can lead to the development of novel therapies and can be used to monitor the effects of such therapies longitudinally.

描述（由申请人提供）：创伤性脑损伤（TBI）是平民和军人死亡和残疾的主要原因。一些关于 TBI 的出版物，包括那些涉及成像的出版物，已经暗示了潜在的临床和成像生物标志物。然而，关于这些可用于启动药物开发和验证新型治疗干预措施的生物标志物或成像标志物的预后价值，还没有出现清晰的图片。在 NIH 和 DOD 的努力下，近年来，全国乃至全球的 TBI 成像研究取得了巨大的发展。自 2000 年初以来，我们很幸运地参与了 TBI 研究，该研究产生了大量的临床、行为和先进的 MR 成像数据。如果我们将数据集中到一个统一的数据库（例如 FITBIR 信息系统）中，我们和更大的 TBI 研究社区将受益匪浅。这将使我们能够访问无法在单个站点生成的大量数据，并允许个别研究人员使用新颖的算法来测试他们的假设。这可能是获得对可能采取这种可变途径的疾病具有高敏感性和特异性的成像标记的唯一方法。除了传统 MR 的数据外，我们可以向 FITBIR 提供的成像数据还包括先进的成像技术，例如扩散张量成像、扩散峰度成像、MR 光谱、动脉自旋标记、高分辨率体积测量、磁化率加权成像以及静息态和基于任务的功能磁共振成像。此外，我们还将提供其中一部分患者 18 个月（总共四个时间点）的纵向影像数据。我们还有兴趣测试我们研究的初步结果，以确定我们的结果是否可以扩展到来自其他各个研究所的更大的数据集（考虑到他们自己的实验变化）。任何给定位置的头部撞击都会产生不同的后果，并且取决于多种因素，包括所涉及的加速力、损伤类型（无论是机械损伤还是爆炸损伤）以及患者的人口统计数据。因此，只有通过更大样本量的研究才能得出清晰的图景，以解释异质的疾病过程。像 FITBIR 这样的数据库可以从不同的研究人员那里收集数据，并继续添加未来研究项目的数据，这对于对 TBI 各个方面感兴趣的个人研究人员来说将是非常有益的。作为一个团队，我们已经接受过使用 FITBIR 的培训，并且熟悉在必要时创建新的通用数据元素和独特数据元素。此外，我们将受益于 FITBIR，获得大量 DTI、静息状态和体积数据，以进一步研究丘脑和中脑的作用，并了解导致神经退行性变和神经退行性疾病的不同大脑网络的参与。赔偿。希望我们和其他 TBI 研究人员能够从这个大型数据库中受益，以确定临床和成像生物标志物，这些生物标志物可以导致新疗法的开发，并可用于纵向监测此类疗法的效果。