Objective. fMRI-based neurofeedback (NF) interventions represent the method of choice for the neuromodulation of localized brain areas. Although we have already validated an fMRI-NF protocol targeting the facial expressions processing network (FEPN), its dissemination is hampered by the economical and logistical constraints of fMRI-NF interventions, which may be however surpassed by transferring it to EEG setups, due to their low cost and portability. One of the major challenges of this procedure is then to reconstruct the BOLD-fMRI signal measured at the FEPN using only EEG signals. Because these types of approaches have been poorly explored so far, here we systematically investigated the extent at which the BOLD-fMRI signal recorded from the FEPN during a fMRI-NF protocol could be reconstructed from the simultaneously recorded EEG signal. Approach. Several features from both scalp and source spaces (the latter estimated using continuous EEG source imaging) were ...

中文翻译：

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可以从同时的EEG数据中估算出多少BOLD-fMRI信号：与神经反馈干预措施的转移和传播有关。

目的。基于功能磁共振成像的神经反馈（NF）干预代表局部大脑区域的神经调节的选择方法。尽管我们已经验证了针对面部表情处理网络（FEPN）的fMRI-NF协议，但由于其功能的经济性和后勤性限制，其传播受到阻碍，但是由于以下原因，将其转移到EEG设置中可能会被超越它们的低成本和便携性。然后，该程序的主要挑战之一是仅使用EEG信号重建FEPN处测得的BOLD-fMRI信号。由于到目前为止尚未很好地研究这些类型的方法，因此在此我们系统地研究了可以从同时记录的EEG信号重建在fMRI-NF协议期间从FEPN记录的BOLD-fMRI信号的程度。方法。来自头皮和源空间的几个特征（后者使用连续脑电图源成像估计）...