Publication | Open Access
Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach
17
Citations
48
References
2020
Year
NeuropsychologyMultimodal ApproachCovid-19 Related EncephalitisBrain LesionState EegSocial SciencesCovid-19Disorders Of ConsciousnessBrain InjuryNeurologyCognitive ElectrophysiologyNeurorehabilitationNeuropathologyNeuroimaging ModalityNeurologic Intensive CareNeuroimagingRehabilitationEncephalitisBrain ImagingCase ReportNeuroimaging BiomarkersEeg Signal ProcessingPrognosis AccuracyConsciousness RecoveryNeuroscienceBrain ElectrophysiologyConcussionMedicine
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.
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