Neural reorganization in divergent TBI recovery responses
Neural reorganization in divergent TBI recovery responses
批准号:
10585265
负责人:
Franklin D West
金额:
$39.05万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2022
资助国家:
美国
项目状态:
已结题
起止时间:
2022-09-01 至 2024-08-31
关键词:
AffectAgeAnimalsAtlasesAuditoryBehaviorBiological MarkersBrainBrain InjuriesCenters for Disease Control and Prevention (U.S.)CharacteristicsChildChildhood InjuryChronicClinicalCognitionCollectionComplexDevelopmentDiagnosisEmergency department visitEvaluationFamily suidaeFinancial compensationFoundationsFunctional Magnetic Resonance ImagingHumanInjuryKnowledgeLeadLearningLocationMemoryModelingMotorMotor CortexNeurologicNeuronal PlasticityOutcomePathologyPathway interactionsPatientsPlayRecoveryRecovery of FunctionResearchRestRoleRunningSensory ProcessSeveritiesSignal TransductionTestingTimeTissuesTranslatingTraumatic Brain InjuryTraumatic Brain Injury recoveryVisualVulnerable PopulationsWalkingWorkbasecohortcontrolled cortical impactdeep learning modeldisabilityexperiencefunctional outcomesgraph theoryimprovedinnovationinsightmild traumatic brain injurymotor function recoverymotor recoverynerve injuryneural networkneuromechanismnovelpatient prognosispatient subsetsporcine modelprognostic modelrecruitrelating to nervous systemresponsesensory inputsevere injurysexstatisticstherapy development
中文摘要
项目摘要
儿童是受创伤性脑损伤(TBI)影响的最脆弱人群之一,
患有慢性功能性缺陷与治疗和预测相关的主要挑战之一
患者预后是功能结果的变异性,尽管TBI类型和严重程度的诊断相似
病人之间。例如,在中度至重度TBI之后,一些患者经历终身运动功能
而具有可比TBI病理的其他人实现完全恢复。观察到的这些主要差异
在TBI患者中,恢复可能是由于不同水平的神经可塑性或功能的重组潜力,
网络.可以预期,大脑经历网络重组能力增强的患者,
会显示出创伤性脑损伤的功能恢复。在这项研究中,我们将利用静息状态和基于任务的功能,
磁共振成像评估两个神经网络重组机制,网络补偿
和网络重新分配,以确定每一种可能在显示低TBI的仔猪TBI模型中发挥的作用。
和类似于人类的高运动功能恢复。我们假设TBI仔猪表现出高运动能力,
功能恢复将表现出更大程度的网络重组,
将随着损伤严重程度的增加而从补偿转向重新分配。这项工作的贡献是
非常重要和创新的成功完成这个项目将推进有限的理解
神经网络重组及其与低和高运动功能恢复的关系。这个新
这些知识可用于开发能够以如下方式调节神经可塑性的疗法,
从而改善患者的恢复。这项工作对神经损伤相关领域具有广泛的意义,
在这项研究中开发的重组概念和原则很可能会转化为其他神经系统
条件
英文摘要
Project Summary
Children are one of the most vulnerable populations affected by traumatic brain injury (TBI) with many
experiencing chronic functional deficits. One of the major challenges associated with treating and predicting
patient prognosis is the variability in functional outcomes despite similar diagnosis in TBI type and severity
between patients. For example, after moderate to severe TBI, some patients experience lifelong motor function
deficits while others with comparable TBI pathologies achieve full recovery. These major differences observed
in TBI patient recovery may be due to varying levels of neural plasticity or reorganization potential of functional
networks. It is anticipated that patients whose brains have an increased ability to undergo network reorganization
would show increased TBI functional recovery. In this study, we will utilize resting state and task based functional
magnetic resonance imaging to evaluate two neural network reorganization mechanisms, network compensation
and network reallocation, to determine the role each could potentially play in a piglet TBI model that displays low
and high motor function recovery similar to humans. We hypothesize that TBI piglets that show high motor
function recovery will demonstrate a greater degree of network reorganization and that reorganization
will shift from compensation to reallocation with increasing injury severity. The contribution of this work is
highly significant and innovative as successful completion of this project will advance the limited understanding
of neural network reorganization and its relationship to low and high motor function recovery. This new
knowledge can be used to develop therapies that are capable of modulating neuroplasticity in a manner that
leads to improved patient recovery. This work has broad implications for neural injury related fields as neural
reorganization concepts and principles developed in this study are likely to translate to other neurological
conditions.
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