Localizing functional and pathological networks in epilepsy

定位癫痫的功能和病理网络

• 批准号: 8398072
• 负责人: Corey J Keller
• 金额: $ 4.72万
• 依托单位: ALBERT EINSTEIN COLLEGE OF MEDICINE
• 依托单位国家: 美国
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2017-06-30
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/8398072
• 关键词: Address; Area; Brain; Brain imaging; Brain region; Clinical; Discipline; Electric Stimulation; Electrocorticogram; Electrodes; Electroencephalography; Electrophysiology (science); Epilepsy; Evoked Potentials; Excision; Frequencies; Functional Magnetic Resonance Imaging; Functional disorder; Goals; Graph; Human; Image; Individual; Intervention; Lead; Length; Maintenance; Measures; Medical; Mentorship; Methods; Mission; Multimodal Imaging; Neurons; Neurosciences; Operative Surgical Procedures; Outcome; Partial Epilepsies; Pathway Analysis; Patients; Pharmaceutical Preparations; Physicians; Population; Property; Research; Research Training; Resected; Rest; Sampling Biases; Scientist; Seizures; Signal Transduction; Techniques; Temporal Lobe; Testing; Time; Tissues; Training; Training Programs; Translational Research; Work; base; blood oxygen level dependent; clinical practice; computerized data processing; implantation; improved; in vivo; method development; neuroimaging; neuronal patterning; novel; relating to nervous system; research study; skills; spatiotemporal; stem; success; theories; tool; tool development

DESCRIPTION (provided by applicant): Recent advances in epilepsy stem from the notion that a network of brain areas, as opposed to a single onset zone, may be responsible for the onset and maintenance of seizures. This is critical as identifying and completely resecting the epileptogenic zone while preserving healthy eloquent cortex is considered to be the basis of the successful surgical treatment of epilepsy. However, methods to localize and quantitatively study the properties of these networks need to be improved. Recent advances in neuroscience include the development of tools for the analysis of cortical networks using graph theory and the identification of high frequency activity on EEG that correlates with neuronal population firing. Quantifying the connectivity between brain areas with graph theory allows comparison of normal and abnormal brain networks. Availability of a marker of highly localized neuronal population activity that can be recorded by conventional clinical electrodes offers a means to track brain activation rapidly as it propagates through cortex. Here, we propose to bridge the gap between current clinical practice that results in suboptimal surgical outcomes and a more detailed understanding of cortical networks and the spread of epileptic To determine the relationship between networks derived from neuroimaging and electrophysiology techniques, and 2) To localize functional and pathological networks using complementary methods from multiple recording techniques. The long term goal of this research is the application of network analysis to multimodal imaging to 1) better understand the relationship between non-invasive and invasive imaging and 2) develop more accurate techniques to localize epileptic networks to improve surgical outcome, both of which will be addressed in this proposal. This proposed study has two fundamental goals. PUBLIC HEALTH RELEVANCE: The cure rate of surgery for patients with epilepsy originating outside the temporal lobe continues to be less than 50% despite improvements in surgery and brain imaging. This low rate of success likely stems from the fact that our techniques to define epileptic regions of the brain are limited and cannot be identified at the time of surgery. This project proposes to develop novel methods for identifying the areas in the human brain which may be safely removed to control seizures not stopped by medications. This research has important significance in improving efficacy of localizing the seizure zone and developing tools to improve surgical outcome.

描述(由申请人提供)：癫痫的最新进展源于这样一个概念，即大脑区域网络，而不是单一的发作区，可能是癫痫发作和维持的原因。这一点至关重要，因为确定并完全切除致痫区域，同时保留健康的口才皮质被认为是成功手术治疗癫痫的基础。然而，定位和定量研究这些网络的性质的方法还需要改进。神经科学的最新进展包括使用图论分析皮质网络的工具的开发，以及识别与神经元群体放电相关的脑电高频活动。用图论量化大脑区域之间的连通性，可以比较正常和异常的大脑网络。可用常规临床电极记录的高度局部化神经元群体活动的标记物的可用性提供了一种快速跟踪大脑活动的手段，因为它通过皮质传播。在这里，我们建议弥合当前临床实践之间的差距，导致不理想的手术结果，以及对皮质网络和癫痫扩散的更详细了解，以确定来自神经成像和电生理技术的网络之间的关系，以及2)使用来自多种记录技术的互补方法来定位功能和病理网络。这项研究的长期目标是将网络分析应用于多模式成像，以1)更好地了解无创和有创成像之间的关系，以及2)开发更准确的技术来定位癫痫网络，以改善手术结果，这两个问题都将在本提案中讨论。这项拟议的研究有两个基本目标。 公共卫生相关性：尽管手术和脑成像有所改善，但发源于颞叶以外的癫痫患者的手术治愈率仍不到50%。这种低成功率可能源于这样一个事实，即我们定义大脑癫痫区域的技术是有限的，而且在手术时无法识别。该项目建议开发新的方法来识别人脑中可以安全移除的区域，以控制未被药物阻止的癫痫发作。本研究对提高癫痫区定位的有效性和开发工具以改善手术效果具有重要意义。