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@Article{Gregorio2023-06-27, author={Gregorio, Francesco Di and Battaglia, Simone}, title={Advances in EEG-based functional connectivity approaches to the study of the central nervous system in health and disease}, title={Advances in EEG-based functional connectivity approaches to the study of the central nervous system in health and disease}, journal={Advances in Clinical and Experimental Medicine}, year={2023}, volume={32}, number={6}, pages={607--612}, month={06}, day={27}, publisher={Wroclaw Medical University}, abstract={Functional brain connectivity is closely linked to the complex interactions between brain networks. In the last two decades, measures of functional connectivity based on electroencephalogram (EEG) data have proved to be an important tool for neurologists and clinical and non-clinical neuroscientists. Indeed, EEG-based functional connectivity may reveal the neurophysiological processes and networks underlying human cognition and the pathophysiology of neuropsychiatric disorders. This editorial discusses recent advances and future prospects in the study of EEG-based functional connectivity, with a focus on the main methodological approaches to studying brain networks in health and disease.}, issn={1899-5276}, doi={10.17219/acem/166476}, url={http://dx.doi.org/10.17219/acem/166476},