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The primary aim of this research proposal is to use multimodal metrics (e.g., clinical data and advanced neuroimaging) in the early (i.e., acute hospitalization) phase of recovery from COVID-19-related disorders of consciousness to predict outcome at 3, 6, and 12 months post-hospitalization. We aim to construct an algorithm that synthesizes the results of these metrics to help predict recovery.
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A subject with any of the following MRI contraindications will not be eligible for this study:
12 participants in 1 patient group
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Data sourced from clinicaltrials.gov
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