{ "Acknowledgements": "The dataset 1 has received a French government support granted to the CominLabs excellence laboratory and managed by the National Research Agency in the Investing for the Future program under reference ANR-10-LABX-07-01. We also thank the European Research Council for the ERC-2011-ADG - Grant Agreement N 290901 ? Acronym NEUCOD. Dataset 1 and dataset 2 were also supported by the Rennes University Hospital (dataset 1 COREC Project named conneXion, 2012-14; dataset 2: COREC Project named BrainGraph, 2015-17). The study was also funded by the National Council for Scientific Research (CNRS) in Lebanon. Authors would also like to thank the Lebanese Association for Scientific Research (LASER) for its support and the Institute of Clinical Neuroscience of Rennes (project named EEGCog).", "Authors": [ "Ahmad Mheich", "Olivier Dufor", "Sahar Yassine", "Aya Kabbara", "Arnaud Biraben", "Fabrice Wendling", "Mahmoud Hassan" ], "BIDSVersion": "1.2", "KeyWords": [ "Electroencephalography", "resting State", "Naming", "Audio", "Memory" ], "Name": "HD-EEGtask(Dataset 1)", "ReferencesAndLinks": [ "Kabbara, A., Falou, W. E., Khalil, M., Wendling, F. & Hassan, M. The dynamic functional core network of the human brain at rest. Sci. Rep. 7, 2936 (2017)", "Hassan, M. et al. Dynamic reorganization of functional brain networks during picture naming. Cortex 73, 276?288 (2015).", "Mheich, A. et al. Spatiotemporal analysis of brain functional connectivity. in 6th European Conference of the International Federation for Medical and Biological Engineering 934?937 (Springer, 2015).", "Mheich, A. et al. SimiNet A Novel Method for Quantifying Brain Network Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 40, 2238?2249 (2018).", "Rizkallah, J. et al. Dynamic reshaping of functional brain networks during visual object recognition. J. Neural Eng. 15, 056022 (2018)." ], "DatasetDOI": "10.82901/nemar.on003420", "License": "CC0", "SourceDatasets": [ { "DOI": "10.18112/openneuro.ds003420.v1.0.2" } ], "Version": "1.0.0" }