CURRENT DENSITY ELECTROENCEPHALOGRAPY

电流密度脑电图

• 批准号: 2891988
• 负责人: PAUL L NUNEZ
• 金额: $ 35.12万
• 依托单位: ELECTRICAL GEODESICS, INC.
• 依托单位国家: 美国
• 财政年份: 1995
• 资助国家: 美国
• 起止时间: 1995-09-30 至 2000-03-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/2891988
• 关键词: biomedical equipment development; clinical biomedical equipment; clinical research; computer program /software; density; diagnosis design /evaluation; digital imaging; electrodes; electroencephalography; epilepsy; human subject; method development; nervous system disorder diagnosis; video recording system

Diagnosis of neurological disorders such as epilepsy may soon be improved by the technical advances in dense sensor array magnetoencephalography (MEG) and electroencephalography (EEG). EEG is particularly important to public health policy because it is less expensive (by factor of 10 to 100) than MEG or any hemodynamic (MRI, PET, SPECT) imaging modality. Widespread clinical application of dense sensor array EEG to the diagnosis of neurological disorders may be achieved not only through inferences on source localization, but through maximizing the clinical electroencephalographer's interpretive skills with surface EEG by providing high-resolution waveform and topographic data. With adequate spatial sampling and 3D spline interpolations based on realistic head geometry, the Laplacian of the scalp potential characterized the skull current density of the brain's electrical field. The proposed Phase II research implements the PI's innovations in current density EEG with an adequate spatial sampling of the scalp EEG with EGI's 128-channel Geodesic Sensor Net. With this advance implementation, current density EEG will be come a useful adjunct to conventional EEG and to dipole modeling in the clinical diagnosis and management of neurological disorders. PROPOSED COMMERCIAL APPLICATION The inadequate spatial sampling of conventional EEG is becoming increasing clear. Dense array EEG, coupled with the enhanced spatial detail provided by current density measure, may become powerful new tools in the hands of clinical electroencephalographers.

癫痫等神经系统疾病的诊断可能很快就会得到证实 通过密集传感器阵列的技术进步而得到改善 脑磁图（MEG）和脑电图（EEG）。脑电图是 对于公共卫生政策尤其重要，因为它较少 比 MEG 或任何血流动力学（MRI、 PET、SPECT）成像方式。 密集型临床应用广泛 传感器阵列脑电图可能有助于诊断神经系统疾病 不仅通过源定位的推断来实现，而且通过 最大限度地提高临床脑电图医生的解释能力 通过表面脑电图提供高分辨率波形和地形 数据。 通过充分的空间采样和基于 3D 样条插值的 在现实的头部几何形状上，头皮势的拉普拉斯算子 表征了大脑电场的头骨电流密度。 拟议的第二阶段研究实施了 PI 的创新 对头皮脑电图进行充分空间采样的电流密度脑电图 与 EGI 的 128 通道测地传感器网络。 有了这个进步 实施后，电流密度脑电图将成为一个有用的辅助手段 常规脑电图和偶极子模型在临床诊断和 神经系统疾病的管理。 拟议的商业应用 传统脑电图的空间采样不足正在变得越来越严重 越来越清晰。 密集阵列脑电图，加上增强的空间 电流密度测量提供的细节可能会成为强大的新功能 临床脑电图学家手中的工具。