Multimodal electrical impedance tomography and electroencephalography imaging: Does higher skull conductivity resolution in EIT imaging improve accuracy of EEG source localization?

Ville Rimpiläinen, Alexandra Koulouri
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Abstract

Objective Unknown conductivities of the head tissues, particularly the skull, is a major factor of uncertainty in electroencephalography (EEG) source imaging. Here, we develop a personalized skull conductivity framework aiming to improve the head models used in the EEG source imaging and to reduce localization errors.
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多模态电阻抗断层扫描和脑电图成像:EIT 成像中更高的颅骨电导分辨率是否能提高脑电波源定位的准确性?
目标 头部组织,尤其是头骨的未知传导性是脑电图(EEG)信号源成像中的一个主要不确定因素。在此,我们开发了一个个性化头骨传导性框架,旨在改进脑电图源成像中使用的头部模型,减少定位误差。
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