Neurological and Neurobehavioral Function Evaluation Core

神经和神经行为功能评估核心

• 批准号: 8786121
• 负责人: RICHARD E HARTMAN
• 金额: $ 8.11万
• 依托单位: LOMA LINDA UNIVERSITY
• 依托单位国家: 美国
• 资助国家: 美国
• 起止时间: 至
• 项目状态: 未结题
• 来源: https://reporter.nih.gov/project-details/8786121
• 关键词: Anxiety; Area; Behavior; Behavioral; Biological; Biological Markers; Blood - brain barrier anatomy; Brain; Brain Edema; Brain Injuries; Brain hemorrhage; Complement; Data; Equilibrium; Evaluation; Goals; Hour; Injury; Mental Depression; Methods; Modeling; Neurologic; Pathway interactions; Phenotype; Platelet-Derived Growth Factor; Quality Control; Research; Role; Short-Term Memory; Statistical Models; Subarachnoid Hemorrhage; TBI treatment; Testing; Therapeutic Intervention; Time; Traumatic Brain Injury; Treatment outcome; cost; dosage; long term memory; motor learning; nervous system disorder; neurobehavioral; osteopontin; response to injury; treatment strategy

The long-term goal ofthe project is to identify common and distinct features of behavioral changes after three types of brain injury (subarachnoid hemorhage, intracerebral hemorhage, and traumatic brain injury) and the response to therapeutic interventions (osteopontin, anti-PDGF, Cav-AP) that protect the blood brain barrier and reduce brain swelling. The Behavioral Core will complement the scientific role ofthe project by implementing methods that can directly compare and contrast injury phenotype and treatment outcomes on a large number of subjects. The Behavioral Core has three basic goals for this project: ¿ Acquire data encompassing a broad range of behavioral domains (motor, learning, short-term memory, long-term memory, anxiety, depression, balance / coordination) over 4 time points (baseline, 24 hours postinjury, 72 hours post-injury, and 25-35 days post-injury). * Determine the effects of injury type (control vs. SAH vs. ICH vs. TBI), treatment (none vs. osteopontin vs. anti-PDGF vs. Cav-AP) and time (e.g., days 1 and 3, days 25-35) on the overall behavioral profile, as well as injury x treatment x time interactions. * Determine relationships between behavior and biomarkers from each model using data from the other Cores. Statistical modeling will allow us to determine which behavioral deficits tend to cluster together, suggesting common biological mechanisms. Data will be collected and analyzed in waves, which will allow for constant quality control and cost effecfiveness. For example, if it becomes clear that a particular test is ineffective in determining group difference, that test may be removed from the battery to save time and money.

该项目的长期目标是确定三种类型的脑损伤（蛛网膜下腔出血，脑内出血和创伤性脑损伤）以及对治疗性干预的反应（骨te骨，抗骨，抗PDGF，抗PDGF，抗PDGF，CAV-AP）后，识别行为改变的共同和独特特征，可保护血液脑屏障和减少脑部的肿胀。行为核心将通过实施可以直接比较和对比的损伤表型和对比的损伤表型和治疗结果来完成该项目的科学作用。行为核心对该项目有三个基本目标： �获取包括在4个时间点（基线，受伤后24小时，受伤后24小时，受伤后的24小时，在伤害后25-35天）的数据涵盖广泛的行为领域（运动，学习，短期记忆，焦虑，抑郁，平衡/协调）。 *确定损伤类型（对照与SAH与ICH与TBI）的影响，治疗（无与骨桥蛋白与抗PDGF与抗PDGF与CAV-AP）和时间（例如，第1和第3天，第25-35天）对整体行为特征以及伤害治疗x治疗x时间互动。 *使用来自其他核心的数据确定每个模型的行为与生物标志物之间的关系。统计建模将使我们能够确定哪种行为定义倾向于聚集在一起，提示常见的生物学机制。 数据将在波浪中收集和分析，这将允许持续的质量控制和成本效益。 例如，如果很明显特定的测试在确定组方面无效 不同的是，该测试可以从电池中删除以节省时间和金钱。