Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach

Author:

Sangare Aude,Dong Anceline,Valente Melanie,Pyatigorskaya NadyaORCID,Cao Albert,Altmayer Victor,Zyss Julie,Lambrecq Virginie,Roux DamienORCID,Morlon Quentin,Perez Pauline,Ben Salah Amina,Virolle Sara,Puybasset Louis,Sitt Jacobo D,Rohaut BenjaminORCID,Naccache Lionel

Abstract

Predicting the functional recovery of patients with severe neurological condition due to coronavirus disease 2019 (COVID-19) is a challenging task. Only limited outcome data are available, the pathophysiology is poorly understood, and the time-course of recovery is still largely unknown. Here, we report the case of a patient with COVID-19 associated encephalitis presenting as a prolonged state of unresponsiveness for two months, who finally fully recovered consciousness, functional communication, and autonomy after immunotherapy. In a multimodal approach, a high-density resting state EEG revealed a rich brain activity in spite of a severe clinical presentation. Using our previously validated algorithms, we could predict a possible improvement of consciousness in this patient. This case report illustrates the value of a multimodal approach capitalizing on advanced brain-imaging and bedside electrophysiology techniques to improve prognosis accuracy in this complex and new aetiology.

Publisher

MDPI AG

Subject

General Neuroscience

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