Chronic Focal and Diffuse Traumatic Brain Injury: Mechanisms Underlying Epileptogenesis and Progressive Dysfunction
慢性局灶性和弥漫性创伤性脑损伤:癫痫发生和进行性功能障碍的机制
基本信息
- 批准号:10490256
- 负责人:
- 金额:--
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2020
- 资助国家:美国
- 起止时间:2020-08-01 至 2024-07-31
- 项目状态:已结题
- 来源:
- 关键词:AddressAlgorithmsAnimal ModelAnimalsAntiepileptic AgentsAreaAutopsyAxonBehaviorBehavioralBehavioral MechanismsBiological MarkersBloodBlood - brain barrier anatomyBrainBrain InjuriesChronicComplexCortical ContusionsDataDeafferentation procedureDetectionDevelopmentDiffuseElectrodesElectroencephalographyElectrophysiology (science)EpilepsyEpileptogenesisFamily suidaeFunctional disorderFutureGeneralized EpilepsyGoalsHippocampus (Brain)ImageImplantIncidenceInjuryInterventionInvestigationLaboratoriesLeadLocationMeasuresMilitary PersonnelModelingMonitorNerve DegenerationNeurologicNeuronsOutcomePartial EpilepsiesPathologicPathologyPathway interactionsPhenotypePopulationPost-Traumatic EpilepsyPre-Clinical ModelPredictive ValuePregnancyProceduresProcessPrognosisPrognostic MarkerResistanceRodent ModelSeizuresSerumSleepSleep disturbancesTemporal Lobe EpilepsyTherapeuticTimeTraumaTraumatic Brain InjuryVeteransawakeaxon injurybehavioral outcomecognitive taskcontrolled cortical impactinjuredmild traumatic brain injuryneurobehavioralneuroimagingneuropathologyneurophysiologypredictive modelingpreventprognosticationrational designrisk stratificationtherapeutic developmenttherapy designtherapy developmentwhite matter
项目摘要
Military traumatic brain injury (TBI) is complex, often involving both diffuse and multi-focal components, and/or
repetitive TBI. While the high incidence of epilepsy following TBI in Veterans is well known, PTE is often resistant
to standard anti-epileptic therapeutics. In addition, the mechanisms underlying the transition from trauma to
injury are unclear, making new treatment development challenging. However, the long gestation period between
injury and seizure development (epileptogenesis) make this process an attractive target for intervention. Due to
the key role of network localization of hyperexcitability in epileptogenesis, we propose that a large animal model
(pig) with a gyrencephalic brain and complex white matter pathways may be the only way to model these injury
phenotypes and epileptogenesis accurately. We will therefore utilize our large animal pre-clinical model of brain
injury induced epileptogenesis in order to investigate the underlying mechanisms contributing to the transition to
PTE, and investigate whether repetitive TBI can also induce these network states. Early epileptiform activity,
blood biomarkers of axonal and glial pathology, and white matter imaging will be utilized to assess their predictive
value for prognosis and risk stratification. This unique combination of large animal TBI models,
electrophysiology, neuropathology and biomarkers will allow us to address the fundamental mechanisms of
epileptogenesis following trauma as well as develop predictive models of PTE development. Our analyses will
allow for greater understanding of the pathological and neurophysiological mechanisms whereby trauma leads
to epilepsy. In addition, an understanding of the effects of this progression on waking behavior and mechanisms
underlying sleep disruption are important questions for treating Veterans with PTE related chronic dysfunction.
We will therefore characterize and validate a PTE model of controlled cortical impact injury and compare with
diffuse, repetitive injury. We will also examine the progression of sleep and behavioral dysfunction associated
with TBI induced epileptogenesis, and compare biomarkers for PTE (blood, sleep, neuroimaging, early
electrophysiology) with electrophysiological outcomes to develop predictors of PTE development in the VA
population. We will also correlate chronic post-mortem neuropathology with electrographic characterization and
behavioral outcomes in order to develop mechanistic understanding of progression for future treatment
development. In order to carry out these goals, we will compare a focal injury model (CCI) with the repetitive,
sagittal injury in order to assess the long-term development of PTE and hyperexcitability. We will chronically
implant pigs following injury with cortical and hippocampal electrodes, and characterize epileptogenesis and
seizure progression over 9 months to 1 year. Pigs will be monitored chronically using video-EEG and will be
assessed for progression of epileptogenesis and development of partial and generalized epilepsy using a
combination of expert assessment and seizure detection algorithms using established procedures in the
laboratory. We will collect blood serum, sleep data, imaging, and electrophysiology for these animals during this
time course. In addition, pigs will be assessed for neurological and behavioral deficits using a hole-board task
that we have developed in our laboratory. These are established procedures in the laboratory, and the CCI
injury has led to PTE in a number. Pigs will be monitored up to a year post injury and will be assessed for
progression of epileptogenesis and development of partial and generalized epilepsy using a combination of
expert assessment and seizure detection algorithms. Post-mortem neuropathology will be performed in order to
compare the chronic neurodegeneration and hippocampal neuropathology with the outcomes of the
electrophysiology, as well as the blood biomarkers. This proposal will therefore compare PTE outcomes in two
large animal TBI models (focal and repetitive mTBI), leading to a translational platform for mechanistic
investigation and therapeutic development in order to benefit those Veterans suffering from PTE, and to develop
prognostic markers for those with TBI yet to develop PTE.
军事创伤性脑损伤 (TBI) 很复杂,通常涉及弥漫性和多灶性成分,和/或
重复性 TBI。虽然退伍军人 TBI 后癫痫的高发病率是众所周知的,但 PTE 往往具有耐药性
标准抗癫痫治疗。此外,从创伤到创伤转变的机制
损伤情况尚不清楚,这使得新治疗方法的开发具有挑战性。但孕育期较长
损伤和癫痫发作(癫痫发生)使这一过程成为有吸引力的干预目标。由于
由于过度兴奋性网络定位在癫痫发生中的关键作用,我们提出大型动物模型
(猪)具有环脑和复杂的白质通路可能是模拟这些损伤的唯一方法
准确地表型和癫痫发生。因此,我们将利用我们的大型动物临床前大脑模型
损伤诱发癫痫发生,以研究导致癫痫发作的潜在机制
PTE,并研究重复性 TBI 是否也会诱发这些网络状态。早期癫痫样活动,
轴突和神经胶质病理学的血液生物标志物以及白质成像将用于评估其预测
预测和风险分层的价值。这种大型动物 TBI 模型的独特组合,
电生理学、神经病理学和生物标志物将使我们能够解决以下问题的基本机制:
创伤后癫痫的发生以及开发 PTE 发展的预测模型。我们的分析将
可以更好地理解创伤导致的病理和神经生理机制
至癫痫。此外,了解这一进展对清醒行为和机制的影响
潜在的睡眠障碍是治疗患有 PTE 相关慢性功能障碍的退伍军人的重要问题。
因此,我们将描述和验证受控皮质撞击损伤的 PTE 模型,并与
弥漫性、重复性损伤。我们还将检查睡眠和行为功能障碍相关的进展
与 TBI 诱发癫痫发生,并比较 PTE 的生物标志物(血液、睡眠、神经影像、早期
电生理学)和电生理学结果来开发 VA 中 PTE 发展的预测因子
人口。我们还将把慢性死后神经病理学与电图特征和
行为结果,以便对未来治疗的进展产生机械理解
发展。为了实现这些目标,我们将局灶性损伤模型 (CCI) 与重复性损伤模型进行比较。
矢状损伤,以评估 PTE 的长期发展和过度兴奋。我们会长期
用皮层和海马电极植入损伤后的猪,并表征癫痫发生和
癫痫发作持续 9 个月至 1 年。将使用视频脑电图对猪进行长期监测,并将
使用以下方法评估癫痫发生的进展以及部分性和全身性癫痫的发展
使用既定程序将专家评估和癫痫检测算法相结合
实验室。在此期间,我们将收集这些动物的血清、睡眠数据、成像和电生理学数据
时间课程。此外,将使用洞板任务评估猪的神经和行为缺陷
我们在实验室开发的。这些是实验室的既定程序,CCI
损伤已导致许多人发生 PTE。猪受伤后一年内将受到监测,并进行评估
结合使用以下方法来研究癫痫发生的进展以及部分性和全身性癫痫的发展
专家评估和癫痫检测算法。将进行尸检神经病理学检查,以便
将慢性神经退行性变和海马神经病理学与结果进行比较
电生理学以及血液生物标志物。因此,本提案将比较两种语言的 PTE 成绩
大型动物 TBI 模型(局灶性和重复性 mTBI),为机械性脑损伤提供了一个转化平台
调查和治疗开发,以使患有 PTE 的退伍军人受益,并开发
尚未发展为 PTE 的 TBI 患者的预后标志物。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
数据更新时间:{{ journalArticles.updateTime }}
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
数据更新时间:{{ journalArticles.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ monograph.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ sciAawards.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ conferencePapers.updateTime }}
{{ item.title }}
- 作者:
{{ item.author }}
数据更新时间:{{ patent.updateTime }}
John Allen Wolf其他文献
John Allen Wolf的其他文献
{{
item.title }}
{{ item.translation_title }}
- DOI:
{{ item.doi }} - 发表时间:
{{ item.publish_year }} - 期刊:
- 影响因子:{{ item.factor }}
- 作者:
{{ item.authors }} - 通讯作者:
{{ item.author }}
{{ truncateString('John Allen Wolf', 18)}}的其他基金
Chronic Focal and Diffuse Traumatic Brain Injury: Mechanisms Underlying Epileptogenesis and Progressive Dysfunction
慢性局灶性和弥漫性创伤性脑损伤:癫痫发生和进行性功能障碍的机制
- 批准号:
10225986 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Chronic Focal and Diffuse Traumatic Brain Injury: Mechanisms Underlying Epileptogenesis and Progressive Dysfunction
慢性局灶性和弥漫性创伤性脑损伤:癫痫发生和进行性功能障碍的机制
- 批准号:
10710035 - 财政年份:2020
- 资助金额:
-- - 项目类别:
Neuromodulation as a Therapy for PTSD following Chronic TBI
神经调节作为慢性 TBI 后 PTSD 的治疗方法
- 批准号:
10454756 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Neuromodulation as a Therapy for PTSD following Chronic TBI
神经调节作为慢性 TBI 后 PTSD 的治疗方法
- 批准号:
10116979 - 财政年份:2018
- 资助金额:
-- - 项目类别:
Network Dysfunction and Neuromodulation following TBI
TBI 后的网络功能障碍和神经调节
- 批准号:
10655963 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Network Dysfunction and Neuromodulation following TBI
TBI 后的网络功能障碍和神经调节
- 批准号:
9903464 - 财政年份:2017
- 资助金额:
-- - 项目类别:
Mechanisms of Cortico-Limbic Network Dysfunction Underlying PTSD after TBI
TBI 后导致 PTSD 的皮质边缘网络功能障碍的机制
- 批准号:
8856874 - 财政年份:2015
- 资助金额:
-- - 项目类别:
Mechanisms of Cortico-Limbic Network Dysfunction Underlying PTSD after TBI
TBI 后导致 PTSD 的皮质边缘网络功能障碍的机制
- 批准号:
9007890 - 财政年份:2015
- 资助金额:
-- - 项目类别:
相似国自然基金
基于肿瘤病理图片的靶向药物敏感生物标志物识别及统计算法的研究
- 批准号:82304250
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
多模态高层语义驱动的深度伪造检测算法研究
- 批准号:62306090
- 批准年份:2023
- 资助金额:30 万元
- 项目类别:青年科学基金项目
高精度海表反照率遥感算法研究
- 批准号:42376173
- 批准年份:2023
- 资助金额:51 万元
- 项目类别:面上项目
基于新型深度学习算法和多组学研究策略鉴定非编码区剪接突变在肌萎缩侧索硬化症中的分子机制
- 批准号:82371878
- 批准年份:2023
- 资助金额:49 万元
- 项目类别:面上项目
基于深度学习与水平集方法的心脏MR图像精准分割算法研究
- 批准号:62371156
- 批准年份:2023
- 资助金额:50 万元
- 项目类别:面上项目
相似海外基金
A computational model for prediction of morphology, patterning, and strength in bone regeneration
用于预测骨再生形态、图案和强度的计算模型
- 批准号:
10727940 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Unified, Scalable, and Reproducible Neurostatistical Software
统一、可扩展且可重复的神经统计软件
- 批准号:
10725500 - 财政年份:2023
- 资助金额:
-- - 项目类别:
Identifying Circuit Dynamics Underlying Motor Dysfunction in Parkinsons Disease Using Real-Time Neural Control
使用实时神经控制识别帕金森病运动功能障碍背后的电路动力学
- 批准号:
10734559 - 财政年份:2023
- 资助金额:
-- - 项目类别:
5T-IV: photoacoustic needle with beacon pulse for ultrasound guided vascular access with Tool-Tip Tracking and Tissue Typing
5T-IV:带有信标脉冲的光声针,用于通过工具提示跟踪和组织分型进行超声引导血管通路
- 批准号:
10677283 - 财政年份:2023
- 资助金额:
-- - 项目类别: