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The impact of electroencephalogram (EEG) reference selection on information-theoretic complexity and integration measures of EEG signals

Kim Bieber

According to accumulating evidence, human cognition and behaviour are the results of brain networks interacting on local and global sizes. The functional segregation (specialized information processing within regional groups of brain areas) and integration (the combination of that specialized information across scattered brain regions) of the brain networks are reflected in these different scales of neural activity. Furthermore, due to the dynamic interplay between segregation and integration, the architecture of these brain networks is extremely complicated. The term neural complexity refers to a high number of coordinated interactions between brain parts at various levels of subordination that are neither completely regular nor completely random.

சங்கங்கள், சங்கங்கள் மற்றும் பல்கலைக்கழகங்களுக்கான சக மதிப்பாய்வு வெளியீடு pulsus-health-tech