Robustness Analysis of Identification Using Resting-State EEG Signals
نویسندگان
چکیده
منابع مشابه
Identification of anti-correlated resting-state networks using simultaneous EEG-fMRI and Independent Components Analysis
In the absence of an explicit task, temporal synchrony is maintained across brain regions. Taking advantage of this synchrony, resting-state fMRI has been used extensively to identify resting state networks (RSN) [1]. Fox et al. have reported that the default mode network (DMN) is anti-correlated with the task positive network (TPN) [2], reflecting the competing demands of these two networks. T...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2019
ISSN: 2169-3536
DOI: 10.1109/access.2019.2907644