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Subject, session and task effects on power, connectivity and network centrality: A source-based EEG study.

, , , , , , и . Biomed. Signal Process. Control., (2020)

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Matteo Garavoglia

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An EEG-Based Biometric System Using Eigenvector Centrality in Resting State Brain Networks., , , , и . IEEE Signal Process. Lett., 22 (6): 666-670 (2015)Computational Model Exploration of Stimulation Based Paradigm for Detection of Epileptic Systems., , , , , и . APPIS, том 310 из Frontiers in Artificial Intelligence and Applications, стр. 324-335. IOS Press, (2018)EEG fingerprinting: Subject-specific signature based on the aperiodic component of power spectrum., и . Comput. Biol. Medicine, (2020)A Practical Workflow for Organizing Clinical Intraoperative and Long-term iEEG Data in BIDS., , , , , и . Neuroinformatics, 20 (3): 727-736 (2022)Prospecting epilepsy surgery outcome using virtual resection paradigm. Computational-model validation., , , и . CIBCB, стр. 1-8. IEEE, (2020)Subject, session and task effects on power, connectivity and network centrality: A source-based EEG study., , , , , , и . Biomed. Signal Process. Control., (2020)A comparison between power spectral density and network metrics: An EEG study., , , и . Biomed. Signal Process. Control., (2020)EEG Fingerprints under Naturalistic Viewing Using a Portable Device., , , , и . Sensors, 20 (22): 6565 (2020)Scorepochs: A Computer-Aided Scoring Tool for Resting-State M/EEG Epochs., , , , и . Sensors, 22 (8): 2853 (2022)