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中文摘要
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 描述(由申请人提供):本项目的目标是开发和验证一种高分辨率时空癫痫发作源成像技术,通过无创高分辨率脑电图(EEG)测量对癫痫发作起源和发作区进行成像和定位,以辅助部分癫痫患者的术前计划。癫痫是最常见的神经系统疾病之一,影响全球约5000万人。在这些患者中,约30%的癫痫发作不能通过药物治疗控制。部分性癫痫,即开始于大脑病灶区域的癫痫发作,代表了最常见的耐药性癫痫类型。癫痫手术有治愈部分癫痫的最佳机会,但 只有在能够准确定位并安全切除产生癫痫发作的大脑区域的情况下才是一种选择。准确定位癫痫发作的起源和发作区对于癫痫手术的成功至关重要。在这个项目中,我们建议开发新的源成像方法,图像和定位癫痫发作的起源和发作区非侵入性。创新之处在于提出了发展癫痫发作源成像的方法,通过新颖的数据驱动时空分布源成像和稀疏信号处理策略。此外,我们建议在一组接受颅内记录和手术切除治疗的癫痫患者中严格验证所提出的方法,并传播拟在拟议项目中开发的成像软件和临床数据。我们的初步结果是非常有前途的,证明了所提出的方法的可行性和优点。拟议项目的具体目标是:目标1。动态癫痫发作成像方法的开发和优化。目标2.数据驱动的癫痫发作源范围成像方法的发展。目标3.根据颅内记录和手术结果验证癫痫发作源成像。无创性定位癫痫发作起源和发作部位对手术治疗难治性癫痫具有重要意义。拟议研究的成功完成有望显著提高我们管理耐药部分性癫痫的能力,使众多患者和医疗保健系统受益。
英文摘要
 DESCRIPTION (provided by applicant): The goal of this project is to develop and validate a high-resolution spatio-temporal seizure source imaging technology to image and localize seizure origin and onset zone from noninvasive high resolution electroencephalogram (EEG) measurements to aid pre-surgical planning in partial epilepsy patients. Epilepsy is one of the most common neurological disorders, affecting about 50 million people worldwide. In approximately 30% of these patients the seizures are not controlled by medical therapy. Partial epilepsy, i.e. seizures that begin in a focal region of the brain, represents the most common type of drug resistant epilepsy. Epilepsy surgery has the best chance of curing partial epilepsy, but is only an option if the brain region generating seizures can be accurately localized and safely removed. Accurate localization of seizure origin and seizure onset zone is of paramount importance for successful epilepsy surgery. In this project, we propose to develop novel source imaging methods to image and localize seizure origin and seizure onset zone noninvasively. Of innovation is the proposed development of seizure source imaging approach, by means of novel data-driven spatio-temporal distributed source imaging and sparse signal processing strategy. Furthermore, we propose to rigorously validate the proposed approach in a group of epilepsy patients undergoing intracranial recordings and surgical resection treatment, and to disseminate the imaging software and clinical data to be developed in the proposed project. Our preliminary results are highly promising and attest to the feasibility and merits of the proposed approach. The specific aims of the proposed project are: Aim 1. Development and optimization of dynamic seizure imaging methods. Aim 2. Development of data- driven seizure source extent imaging methods. Aim 3. Validation of seizure source imaging from intracranial recordings and surgical outcomes. Noninvasive localization of seizure origin and seizure onset zone is of crucial significance for the successful surgical treatment of intractable epilepsy. The successful completion of the proposed research promises to lead to significantly advance our capability to manage drug-resistant partial epilepsy, benefitting numerous patients and the healthcare system.
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Imaging Epilepsy Sources with Biophysically Constrained Deep Neural Networks
  • 批准号:
    10655833
  • 项目类别:
  • 资助金额:
    $64.4万
  • 财政年份:
    2023
  • 负责人:
    BIN HE
  • 依托单位:
Electrophysiology-Compatible Wearable Transcranial Focused Ultrasound Neuromodulation Array Probes
  • 批准号:
    10616201
  • 项目类别:
  • 资助金额:
    $358.3万
  • 财政年份:
    2023
  • 负责人:
    BIN HE
  • 依托单位:
Breast cancer virotherapy
Integrative Training in Neural Interfacing
  • 批准号:
    10470095
  • 项目类别:
  • 资助金额:
    $21.28万
  • 财政年份:
    2021
  • 负责人:
    BIN HE
  • 依托单位:
海外基金