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中文摘要
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 描述(申请人提供):该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,以根据非侵入性高分辨率脑电(EEG)测量对癫痫发作来源和发作区进行成像和定位,以帮助部分癫痫患者的手术前计划。癫痫是最常见的神经系统疾病之一,全世界约有5000万人受到影响。在这些患者中,约有30%的癫痫发作不能通过药物治疗控制。部分性癫痫,即开始于大脑局部区域的癫痫,是最常见的耐药癫痫类型。癫痫手术最有可能治愈部分癫痫,但 只有在产生癫痫的大脑区域能够被准确定位和安全移除的情况下,才是一种选择。准确定位癫痫的发作源和发作区是癫痫手术成功的关键。在这个项目中,我们建议开发新的源成像方法来非侵入性地成像和定位癫痫的起始区和癫痫的起始区。创新之处在于提出了一种新的数据驱动时空分布式源成像方法和稀疏信号处理策略,开发了癫痫源成像方法。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,并传播将在拟议的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希望的,并证明了所提出的方法的可行性和优点。本项目的具体目标是:目标1。癫痫发作动态成像方法的发展和优化。目的2.建立数据驱动的惊厥源范围成像方法。目的3.根据颅内记录和手术结果确认癫痫发作来源的影像。无创性定位癫痫的发作源和发作区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