Sabina Stefan, Barbara Schorr, Alex Lopez-Rolon, Iris-Tatjana Kolassa, Jonathan P Shock, Martin Rosenfelder, Suzette Heck, Andreas Bender
We applied the following methods to resting-state EEG data from patients with disorders of consciousness (DOC) for consciousness indexing and outcome prediction: microstates, entropy (i.e. approximate, permutation), power in alpha and delta frequency bands, and connectivity (i.e. weighted symbolic mutual information, symbolic transfer entropy, complex network analysis). Patients with unresponsive wakefulness syndrome (UWS) and patients in a minimally conscious state (MCS) were classified into these two categories by fitting and testing a generalised linear model...
April 17, 2018: Brain Topography