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首页> 外文会议>International conference on data integration in the life sciences >Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury
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Integration of Multimodal Neuroimaging and Electroencephalography for the Study of Acute Epileptiform Activity After Traumatic Brain Injury

机译：外伤性脑损伤后急性癫痫样活动的多模式神经影像和脑电图的集成。

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The integration of multidimensional, longitudinal data acquired using the combined use of structural neuroimaging [e.g. magnetic resonance imaging (MRI), computed tomography (CT)] and neurophysiological recordings [e.g. electroencephalography (EEG)] poses substantial challenges to neuroinformati-cians and to biomedical scientists who interact frequently with such data. In traumatic brain injury (TBI) studies, this challenge is even more severe due to the substantial heterogeneity of TBIs across patients and to the variety of neurophysiological responses to injury. Additionally, the study of acute epileptiform activity prompted by TBI poses logistic, analytic and data integration difficulties. Here we describe our proposed solutions to the integration of structural neuroimaging with neurophysiological recordings to study epileptiform activity after TBI. Based on techniques for TBI-robust segmentation and electrical activity localization, we have developed an approach to the joint analysis of MRI/CT/EEG data to identify the foci of seizure-related activity and to facilitate the study of TBI-related neuropathophysiology.
机译：结合使用结构性神经影像学[例如，磁共振成像（MRI），计算机断层扫描（CT）]和神经生理学记录[例如脑电图（EEG）]对神经信息学家和经常与此类数据进行交互的生物医学科学家提出了严峻的挑战。在创伤性脑损伤（TBI）研究中，由于患者之间TBI的实质异质性以及对损伤的多种神经生理学反应，这一挑战甚至更加严峻。此外，由TBI引发的对急性癫痫样活动的研究带来了逻辑，分析和数据整合方面的困难。在这里，我们描述了我们提出的解决方案，以整合结构神经影像学与神经生理学记录，以研究TBI后的癫痫样活动。基于用于TBI稳健的分割和电活动定位的技术，我们开发了一种对MRI / CT / EEG数据进行联合分析的方法，以识别癫痫发作相关活动的病灶并促进TBI相关神经病理生理学的研究。

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