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The characterization of the functional network of the brain dynamics has become a prominent tool to illuminate novel aspects of brain functioning. Due to its excellent time resolution, such research is oftentimes based on electroencephalographic recordings (EEG). However, a particular EEG-reference might cause crucial distortions of the spatiotemporal interrelation pattern and may induce spurious correlations as well as diminish genuine interrelations originally present in the dataset. Here wedoi:10.3389/fnins.2019.00941 pmid:31572110 pmcid:PMC6751257 fatcat:e72xppbfq5a5zngqodkpqfhn54