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Validating MXene Electrodes for Next-Generation Electroencephalography

Validating MXene Electrodes for Next-Generation Electroencephalography
验证下一代脑电图的 MXene 电极
批准号:
10407567
负责人:
John Medaglia
金额:
$42.02万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-06-01 至 2026-05-31

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中文摘要
翻译
项目摘要 脑电图(EEG)是神经病学中重要的临床诊断和研究工具, 神经康复、认知和行为神经科学。然而,在100多年的脑电图研究中, 研究,基本的脑电图技术仍然是原始的和改变游戏规则的技术 创新很少而且相距甚远。大多数当前的EEG系统依赖于凝胶银/银- 氯化物或金属电极用导电凝胶或糊剂固定在头皮上。这些设备遭受 由于电极尺寸大、成本高、腐蚀风险大、制备和清洁困难。此外,本发明还提供了一种方法, 凝胶和糊剂是实现足够的阻抗和信号质量所必需的,但是可以 对皮肤有刺激性,并随着时间的推移而变干。干(即,无凝胶)EEG系统可以绕过一些 这些湿EEG设备的问题,但在受试者舒适度和信号方面仍然受到严重限制 质量.最后,用于多模态脑映射的MRI兼容EEG系统通常是高度可接受的。 专业且昂贵。在这里,我们建议验证一个全新的,干燥的脑电图系统的基础上, MXene材料。MXene具有高生物相容性、稳定性、导电性、灵活性和低成本 电化学阻抗此外,它们可以以低成本加工,易于集成到 具有各种几何形状和形状的功能性神经装置记录脑电活动, 高保真度,无需凝胶或糊剂,并且与磁场的相互作用很弱。这些 这些特性使MXene成为下一代EEG技术的理想材料。 在这项提案中,我们将建立在有前途的试点数据,以扩大和优化制造, MXene EEG电极的设计。具体来说,我们的目标是超越我们的实验中使用的电极。 试点研究,同时保持快速,成本效益和可靠的制造。然后,我们将验证 在完善的行为任务上表现最好的MXene电极的性能 与容易识别的EEG频谱特征相关。最后,我们将检查MRI 定制的多通道MXene EEG系统用于同时EEG/MRI标测的兼容性 使用信号质量的定量和临床医生评级,这是推动其广泛应用的重要一步。 在大脑研究和临床环境中采用。通过完成这个项目,我们希望将 通过生成具有上级分辨率、信号保真度和 与现有工具相比。这些优势可以为基础铺平道路 在临床神经病学、康复和认知等多个领域的创新 神经科学
英文摘要
PROJECT ABSTRACT Electroencephalography (EEG) is an essential clinical diagnostic and research tool in neurology, neurorehabilitation, cognitive, and behavioral neuroscience. However, in more than 100 years of EEG research, the fundamental EEG technology has remained primitive and game-changing technological innovations have been few and far between. Most current EEG systems rely on gelled silver/silver- chloride or metal electrodes affixed on the scalp with conductive gels or pastes. These devices suffer from the large size of the electrodes, cost, risk of corrosion, preparation, and cleaning. In addition, gels and pastes are necessary to achieve adequate impedance and signal quality, but can be irritating to the skin and dry out over time. Dry (i.e., gel-free) EEG systems can bypass some of the issues of these wet EEG devices, but are still critically limited in terms of subject comfort and signal quality. Finally, MRI-compatible EEG systems for multimodal brain mapping are often highly specialized and expensive. Here, we propose to validate a fully novel, dry EEG system based on MXene materials. MXenes offer high biocompatibility, stability, conductivity, flexibility and low electrochemical impedance. In addition, they can be processed at a low cost, easily integrated into functional neural devices with a variety of geometries and shapes, record brain electrical activity with high fidelity without the need for gels or pastes, and interact weakly with magnetic fields. These properties make MXene ideal to serve as enabling material for the next-generation EEG technologies. In this proposal, we will build on promising pilot data to scale-up and optimize the fabrication and design of MXene EEG electrodes. Specifically, we will aim to outperform the electrodes used in our pilot studies while maintaining fast, cost-effective, and reliable fabrication. Then, we will validate the performance of the best performing MXene electrodes on well-established behavioral tasks associated with readily identifiable EEG spectral characteristics. Finally, we will examine the MRI compatibility of a customized multichannel MXene EEG system for simultaneous EEG/MRI mapping using quantitative and clinician ratings of signal quality, an essential step to propel its widespread adoption in brain research and clinical contexts. By completing this project, we expect to move the field forward by generating a novel dry EEG technology with superior resolution, signal fidelity, and usability compared to current tools. These advantages could pave the way for fundamental innovations in a number of domains including clinical neurology, rehabilitation, and cognitive neuroscience.
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Validating MXene Electrodes for Next-Generation Electroencephalography
  • 批准号:
    10185860
  • 项目类别:
  • 资助金额:
    $43.9万
  • 财政年份:
    2021
  • 负责人:
    John Medaglia
  • 依托单位:
Validating MXene Electrodes for Next-Generation Electroencephalography
  • 批准号:
    10640850
  • 项目类别:
  • 资助金额:
    $41.68万
  • 财政年份:
    2021
  • 负责人:
    John Medaglia
  • 依托单位:
Dynamic Network Neuroscience and Control Theory: Toward Interventions for Cognitive Control Dysfunction
  • 批准号:
    9001622
  • 项目类别:
  • 资助金额:
    $40.0万
  • 财政年份:
    2015
  • 负责人:
    John Medaglia
  • 依托单位:
Dynamic Network Neuroscience and Control Theory: Toward Interventions for Cognitive Control Dysfunction
  • 批准号:
    9604631
  • 项目类别:
  • 资助金额:
    $40.87万
  • 财政年份:
    2015
  • 负责人:
    John Medaglia
  • 依托单位:
海外基金