Identification of Cortical Biomarkers for Seizure Risk in Childhood Epilepsy

儿童癫痫发作风险的皮质生物标志物的鉴定

• 批准号: 9487038
• 负责人: Catherine J Chu
• 金额: $ 20.09万
• 依托单位: MASSACHUSETTS GENERAL HOSPITAL
• 依托单位国家: 美国
• 财政年份: 2015
• 资助国家: 美国
• 起止时间: 2015-09-01 至 2020-05-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/9487038
• 关键词: Accounting; Address; Adverse effects; Age; Aggressive behavior; Anatomy; Antiepileptic Agents; Attentional deficit; Behavioral; Benign; Biological Markers; Biometry; Brain; Cessation of life; Child; Childhood; Chronic; Clinical; Clinical Research; Clinical Trials; Cognitive; Complement; Cross-Sectional Studies; Data; Data Set; Development; Diagnostic tests; Disease; Disease remission; Drowsiness; Drug Exposure; Drug Prescriptions; Electroencephalogram; Electroencephalography; Electrophysiology (science); Environment; Epilepsy; Evaluation; Evolution; Functional Magnetic Resonance Imaging; Funding; General Hospitals; Goals; High Frequency Oscillation; Hostility; Hour; Image; Imaging Techniques; Imaging technology; Injury; Joints; Knowledge; Magnetic Resonance Imaging; Massachusetts; Measures; Mentorship; Methods; Modeling; Monitor; Multimodal Imaging; Nervousness; Pharmaceutical Preparations; Pharmacotherapy; Physiological; Population; Positioning Attribute; Predictive Value; Predisposition; Process; Program Development; Property; Recurrence; Research; Resolution; Risk; School-Age Population; Seizures; Single Seizures; Source; Study Subject; Syndrome; Techniques; Technology; Testing; Training; base; candidate identification; candidate marker; career; career development; clinical practice; clinically relevant; cohort; density; experience; human imaging; improved; magnetic resonance imaging biomarker; multimodality; nervous system disorder; neuroimaging; neurophysiology; novel; patient oriented research; predictive modeling; premature; prevent; programs; prospective; psychosocial; public health relevance; signal processing; tool; tractography; translational scientist; treatment strategy; white matter

 DESCRIPTION (provided by applicant): Dr. Catherine Chu is a practicing pediatric epileptologist and clinical neurophysiologist at Massachusetts General Hospital (MGH), whose goal is to develop an independent research program utilizing non-invasive human imaging and neurophysiological recordings to improve our understanding of the mechanisms, disease process, and indicators of seizure risk in the developing brain. Dr. Chu proposes to study the most common pediatric epilepsy syndrome, benign epilepsy with Centro temporal spikes (BECTS) using novel methods to integrate advanced neuroimaging, electrophysiology, and signal processing techniques to identify key cortical biomarkers of seizure risk. Despite extensive clinical experience with this disease, it remains a challenge to determine who will benefit from antiepileptic drug (AED) treatment and when it is safe to discontinue. One- third of these children will have only a single seizure, while two-thirds may have recurrent seizures over several years. Although non-treatment or premature taper may result in seizures, chronic AED exposure introduces cognitive side effects in 30-70% of exposed children. A biomarker to isolate which children are at risk for ongoing seizures is needed to prevent the unnecessary consequences of over- or under-medication during critical years of cognitive, psychosocial and behavioral maturation in this large cohort of children. As seizures are thought to result from abnormal cortical excitability and connectivity, Dr. Chu hypothesizes those principled measures of these properties using available non-invasive techniques will identify clinically relevant biomarkers of seizure risk. Dr. Chu has developed preliminary results supporting the feasibility of her proposed approach. Under the joint mentorship of leading translational researchers Drs. Kevin Staley, Sydney Cash and Steven Stufflebeam at MGH, Dr. Chu proposes to first evaluate children with BECTS with active epilepsy and in remission in a cross-sectional study to identify candidate cortical biomarkers for seizure risk using advanced EEG and MRI techniques. She will then assess the utility of adding longitudinal data to the predictive models by re-studying th subjects in the cross sectional dataset one year after initial evaluation. The knowledge gained by these studies will lead to: 1) quantification of the physiological and anatomical processes associated with increased seizure risk in childhood epilepsy; 2) identification of candidate biomarkers of seizure risk which may have broader relevance to other epilepsies; 3) the development of novel tools and advanced expertise to identify and quantify these processes; and 4) preliminary data for an R01-funded clinical trial to test non- invasive biomarkers of seizure risk in childhood epilepsy. The career development program outlined in this proposal provides the candidate with advanced training in multimodal imaging techniques, prospective clinical research, and biostatistics in an outstanding training environment. The expertise that she will develop will position her for a productive independent career in patient-oriented research in which she can focus advanced imaging technologies to address pressing and clinically relevant questions in pediatric epilepsy.

 描述（由申请人提供）：Catherine Chu博士是马萨诸塞州总医院（MGH）的执业儿科癫痫病学家和临床神经生理学家，其目标是开发一项独立的研究计划，利用非侵入性人体成像和神经生理学记录来提高我们对发育中大脑中癫痫发作风险的机制、疾病过程和指标的理解。Chu博士建议研究最常见的小儿癫痫综合征，即良性癫痫伴中央颞棘波（BECTS），使用新方法整合先进的神经成像，电生理学和信号处理技术，以确定癫痫发作风险的关键皮质生物标志物。尽管有广泛的临床经验，这种疾病，它仍然是一个挑战，以确定谁将受益于抗癫痫药物（AED）治疗，以及何时是安全的停止。这些儿童中有三分之一只会有一次癫痫发作，而三分之二可能会在几年内反复发作。虽然不治疗或过早减量可能导致癫痫发作，但慢性AED暴露会在30-70%的暴露儿童中引起认知副作用。需要一种生物标志物来隔离哪些儿童有持续癫痫发作的风险，以防止在这个大型儿童队列的认知，心理和行为成熟的关键年份过度或用药不足的不必要后果。由于癫痫发作被认为是由异常的皮质兴奋性和连接性引起的，朱博士假设使用现有的非侵入性技术对这些特性进行的原则性测量将识别癫痫发作风险的临床相关生物标志物。朱博士已经开发了初步结果，支持她提出的方法的可行性。在MGH领先的翻译研究人员Kevin Staley，Sydney Cash和Steven Stufflebeam博士的联合指导下，Chu博士建议首先评估患有活动性癫痫的BECTS儿童，并在横断面研究中缓解，以使用先进的EEG和MRI技术确定癫痫发作风险的候选皮质生物标志物。然后，她将通过在初步评估后一年重新研究横截面数据集中的受试者来评估将纵向数据添加到预测模型中的效用。通过这些研究获得的知识将导致：1）量化与儿童癫痫发作风险增加相关的生理和解剖过程; 2）识别可能与其他癫痫具有更广泛相关性的癫痫发作风险的候选生物标志物; 3）开发新的工具和先进的专业知识来识别和量化这些过程;和4）R 01资助的临床试验的初步数据，以测试儿童癫痫发作风险的非侵入性生物标志物。本提案中概述的职业发展计划为候选人提供了在优秀培训环境中进行多模式成像技术，前瞻性临床研究和生物统计学方面的高级培训。她的专业知识 将发展将定位她在以患者为导向的研究，她可以集中先进的成像技术，以解决紧迫的和临床相关的问题，在小儿癫痫的生产独立的职业生涯。