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Which Brain Regions are Important for Seizure Dynamics in Epileptic Networks? Influence of Link Identification and EEG Recording Montage on Node Centralities

机译:哪些大脑区域对癫痫网络中的癫痫发作动态很重要? 链路识别和EEG录制蒙太奇对节点集中的影响

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Nodes in large-scale epileptic networks that are crucial for seizure facilitation and termination can be regarded as potential targets for individualized focal therapies. Graph-theoretical approaches based on centrality concepts can help to identify such important nodes, however, they may be influenced by the way networks are derived from empirical data. Here we investigate evolving functional epileptic brain networks during 82 focal seizures with different anatomical onset locations that we derive from multichannel intracranial electroencephalographic recordings from 51 patients. We demonstrate how the various methodological steps (from the recording montage via node and link inference to the assessment of node centralities) affect importance estimation and discuss their impact on the interpretability of findings in the context of pathophysiological aspects of seizure dynamics.
机译:对于癫痫发作促进和终止至关重要的大规模癫痫网络中的节点可以被视为个性化焦点疗法的潜在目标。 图 - 基于中心概念的图形理论方法可以帮助识别这种重要节点,但是,它们可能受到来自经验数据的方式的方式影响。 在这里,我们在82个局灶性癫痫发作期间调查不断变化的功能性癫痫大脑网络,不同的解剖学发作位置我们从51例患者获得多通道颅内脑电图记录。 我们展示了各种方法步骤(通过节点的记录蒙太奇和链路推断对节点集合的评估)影响重要性估计,并讨论其对癫痫发作动态的病理生理方面的背景下的调查结果的影响。

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