Ayham Alkhachroum, Emilia Flo, Brian Manolovitz, Holly Marie Stradecki-Cohan, Berje Shammassian, Danielle Bass, Gabriela Aklepi, Esther Monexe, Pardis Ghamasaee, Evie Sobczak, Daniel Samano, Ana Bolaños Saavedra, Nina Massad, Mohan Kottapally, Amedeo Merenda, Joacir Graciolli Cordeiro, Jonathan Jagid, Andres M Kanner, Tatjana Rundek, Kristine O'Phelan, Jan Claassen, Jacobo Sitt
Background Resting-state electroencephalogram (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI) patients. We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in comatose TBI patients. Methods This is a retrospective study of comatose TBI patients who were admitted to a level-1 trauma center (10/2013-1/2022). Demographics, basic clinical data, imaging characteristics, and EEG data were collected. We calculated using 10-minute rsEEGs: power spectral density (PSD), permutation entropy (PE - complexity measure), weighted symbolic-mutual-information (wSMI - global information sharing measure), Kolmogorov complexity (Kolcom - complexity measure), and heart-evoked potentials (HEP - the averaged EEG signal relative to the corresponding QRS complex on electrocardiogram)...
January 31, 2024: Research Square