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10.3390/brainsci10110845 http://scihub22266oqcxt.onion/10.3390/brainsci10110845 33198199!7696159!33198199     free     free     free Warning: file_get_contents(https://eutils.ncbi.nlm.nih.gov/entrez/eutils/elink.fcgi?dbfrom=pubmed&id=33198199&cmd=llinks): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 215       Brain+Sci 2020 ; 10 (11): ? Nephropedia Template TP {{tp|p=33198199|t=2020. Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach |pdf=|usr=}}{{33198199}} gab.com Text Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach JO: Brain Sci http://www.kidney.de/pget.php?&tw=1&pmid=33198199 #FOAvip 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. Twit Text FOAVip Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach ????Brain Sci http://www.kidney.de/pget.php?&tw=1&pmid=33198199 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33198199 #FOAvip English Wikipedia <ref>{{Cite pmid|33198199}}</ref> Neuroprognostication of Consciousness Recovery in a Patient with COVID-19 Related Encephalitis: Preliminary Findings from a Multimodal Approach #MMPMID33198199 Sangare A; Dong A; Valente M; Pyatigorskaya N; Cao A; Altmayer V; Zyss J; Lambrecq V; Roux D; Morlon Q; Perez P; Ben Salah A; Virolle S; Puybasset L; Sitt JD; Rohaut B; Naccache L Brain Sci 2020[Nov]; 10 (11): ? PMID33198199show ga 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. ?Neuroprognostication of Consciousness Recovery in a Patient with COVID(epmc).pdf DeepDyve Pubget Overpricing