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Identification of epileptic brain states by dynamic functional connectivity analysis of simultaneous EEG-fMRI: a dictionary learning approach

机译:通过同时eEg-fmri的动态功能连接分析鉴定癫痫脑状态:一篇文章学习方法

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-DL), with a fixed amount of temporal sparsity. We further showed that epilepsy-related dFC states provide novel insights into the dynamics of epileptic networks, which go beyond the information provided by more conventional EEG-correlated fMRI analysis, and which were concordant with the clinical profile of each patient. In addition to its application in epilepsy, our study provides a new dFC state identification method of potential relevance for studying brain functional connectivity dynamics in general.
机译:-DL),具有固定数量的时间稀疏性。我们进一步表明,癫痫相关的DFC国家对癫痫网络的动态提供了新的洞察力,其超出了更多常规EEG相关的FMRI分析提供的信息,并且与每个患者的临床概况很合一齐全。除了在癫痫中的应用外,我们的研究还提供了一种新的DFC状态识别方法,用于研究脑功能连通动力学的潜在相关性。

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