Resting-State EEG Signature of Early Consciousness Recovery in Comatose Patients with Traumatic Brain Injury

Ayham Alkhachroum, Emilia Fló, Brian Manolovitz, Holly 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 D. Sitt

Neurocritical Care(2024)

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Abstract
Resting-state electroencephalography (rsEEG) is usually obtained to assess seizures in comatose patients with traumatic brain injury (TBI). We aim to investigate rsEEG measures and their prediction of early recovery of consciousness in patients with TBI. This is a retrospective study of comatose patients with TBI who were admitted to a trauma center (October 2013 to January 2022). Demographics, basic clinical data, imaging characteristics, and EEGs were collected. We calculated the following using 10-min rsEEGs: power spectral density, permutation entropy (complexity measure), weighted symbolic mutual information (wSMI, global information sharing measure), Kolmogorov complexity (Kolcom, complexity measure), and heart-evoked potentials (the averaged EEG signal relative to the corresponding QRS complex on electrocardiography). We evaluated the prediction of consciousness recovery before hospital discharge using clinical, imaging, and rsEEG data via a support vector machine. We studied 113 of 134 (84
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