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What is Tracking Consciousness Transitions about?

This dissertation examines computational measures of electroencephalogram (EEG) data to study transitions of consciousness caused by natural, pharmacological and pathological factors like sleep, sedation and coma. It investigates the loss and recovery of consciousness from modern theoretical frameworks. In the first study, a unique EEG microstate is identified whose increased duration predicts unresponsiveness before sleep onset, capturing increased frontoparietal theta connectivity. The second study reveal

Author

Iulia M Comsa

Language

EN