Electrocorticography Visualization and Analysis Software

皮质电图可视化和分析软件

• 批准号: 7611779
• 负责人: Richard E. Greenblatt
• 金额: $ 37.25万
• 依托单位: SOURCE SIGNAL IMAGING, INC.
• 依托单位国家: 美国
• 财政年份: 2004
• 资助国家: 美国
• 起止时间: 2004-09-01 至 2010-02-28
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7611779
• 关键词: Address; Affect; Antiepileptic Agents; Area; Awareness; Behavior; Brain; Brain Diseases; Brain Part; Clinical; Computer software; Data; Data Files; Depth; Development; Electrocorticogram; Electrodes; Electroencephalography; Epilepsy; Esthesia; Excision; Family; Foundations; Functional Imaging; Hour; Human; Imagery; Intervention; Invasive; Location; Magnetic Resonance Imaging; Measurement; Methods; Operative Surgical Procedures; Outcome; Patients; Pattern; Persons; Pharmacotherapy; Phase; Placement; Postoperative Period; Preparation; Production; Public Health; Reporting; Research; Research Personnel; Resolution; Scalp structure; Seizures; Site; Software Tools; Surface; Surgical Management; Techniques; Technology; Telemetry; Testing; Time; Time Series Analysis; Tissues; Training; Translating; United States; Validation; Work; base; brain research; cognitive neuroscience; computerized data processing; design; disability; improved; prevent; prototype; response; software development; tool; usability

DESCRIPTION (provided by applicant): The epilepsies are a family of disorders of brain dynamics. Epilepsy patients are susceptible to seizures (changes in sensation, awareness, or behavior caused by brief electrical disturbances in the brain). Often, the electrical disturbances originate from a "focus" or "epileptogenic zone" in part of the brain, from which the disturbances are propagated to other parts of the brain. Epilepsy affects approximately 2.5 million persons in the United States, and over 50 million persons worldwide, and 150,000 to 200,000 new cases occur annually in the U.S. Although most epilepsy patients can control their seizures with the use of antiepileptic drugs, between 20% to 25% of patients cannot bring their seizures under control using drug therapy. Many patients with pharmacologically intractable seizures can eliminate their disability largely or completely by neurosurgical intervention, which typically involves resection of tissue in the epileptogenic zone to prevent the spread of electrical disturbances. Candidates for epilepsy surgery are generally evaluated first with scalp EEG. In approximately 20% of cases, however, intracranial telemetry (iEEG) with brain surface (ElectroCorticoGraphy, or ECoG) and/or depth electrodes is required to determine the site(s) of seizure onset, but determination of the seizure onset zone is often ambiguous. We propose to develop software tools that will aid the clinician in the identification of the epileptogenic zone from iEEG data, through the multimodal integration of iEEG data with structural and functional imaging data, visualization of iEEG data, both in space and time, and analysis of iEEG data. During Phase I, we designed, implemented, and validated software to integrate the visualization of ECoG electrode locations on sMRI data, on a subject-specific basis, and visualize ECoG activity patterns in both space and time. During Phase II, we will extend these results to include depth electrode data. We will also develop, implement and verify statistical signal processing tools to aid in the identification and localization of the seizure onset zone. These methods will be validated by comparison with clinical findings. A principal design objective is the creation of software that can be used by a trained technician to produce a reliable visualization with less than 1 hour of preparation time. PUBLIC HEALTH RELEVANCE: The work described in this proposal addresses the need to develop improved software tools for the visualization and analysis of intracranial electroencephalographic (iEEG) measurements obtained from the surface (electrocorticography, or ECoG) or from the depths of the human brain. If successful, these tools will advance the clinical practice of surgical management for epilepsy, as well as providing an enabling technology for basic and clinical human brain research.

描述（由申请人提供）：癫痫病是大脑动态疾病的家族。癫痫患者容易受到癫痫发作（感觉，意识的变化或由大脑短暂的电动障碍引起的）。通常，电干扰源于大脑的一部分“焦点”或“癫痫发作区”，从中，扰动传播到大脑的其他部位。癫痫在美国影响约250万人，全球超过5000万人，每年在美国发生150,000至200,000例新病例，尽管大多数癫痫患者可以通过使用抗癫痫药物来控制其癫痫发作，而使用抗癫痫药，20％至25％的患者无法控制使用药物治疗。许多具有药理学性疾病的患者可以通过神经外科干预大部分或完全消除其残疾，这通常涉及在癫痫发作区切除组织以防止电动障碍的扩散。通常首先用头皮脑电图评估癫痫手术的候选者。然而，在大约20％的情况下，需要颅内遥测（IEEG）具有脑表面（电皮质造影或ECOG）和/或深度电极以确定癫痫发作的部位，但确定癫痫发作区域通常是模棱两可的。我们建议开发软件工具，通过与结构和功能成像数据的IEEG数据的多模态集成，在IEEG数据中识别临床医生，从IEEG数据识别癫痫发作区，在时空和时间上可视化IEEG数据以及IEEG数据的分析。在第一阶段，我们设计，实施和验证的软件以在主题特定的基础上集成在SMRI数据上的ECOG电极位置的可视化，并在时空和时间中可视化ECOG活动模式。在第二阶段，我们将扩展这些结果以包括深度电极数据。我们还将开发，实施和验证统计信号处理工具，以帮助鉴定和定位癫痫发作区域。这些方法将通过与临床发现进行比较来验证。主要的设计目标是创建软件，该软件可以由训练有素的技术人员使用，以制作不到1小时的准备时间的可靠可视化。公共卫生相关性：该提案中描述的工作旨在开发改进的软件工具，以可视化和分析颅内脑电脑学（IEEG）测量，从表面（电皮质造影或ECOG）或从人脑的深处获得的测量值。如果成功的话，这些工具将提高外科手术管理癫痫的临床实践，并为基础和临床人类脑研究提供有利的技术。