Researchers developed a multimodal assessment (MMA) for measuring neuroprognosis performance in clinical unresponsive patients with acute brain injury. The approach combines PET scans, EEG analysis, and functional MRI. To assess the clinical value of this approach, the researchers evaluated data from 349 adult patients in a tertiary neurointensive care unit between 2009 and 2021. The patients’ sustaining consciousness disorders included coma and minimally conscious state stemming from brain injuries such as anoxia, trauma, hypoglycemia, stroke, or encephalitis. Prognoses were categorized as good (22% of cases), uncertain (45.5%), or poor (32.5%), and they were compared with observed outcomes using the Glasgow Outcome Scale-Extended. A good prognosis, the researchers write, was linked with improved 1-year functional outcomes, compared with poor or uncertain prognoses. The prognostic value of the approach correlated with the number of modalities, so the more modalities used, the greater the accuracy of the prognosis. “In this study, we show for the first time that prognostication based on MMA reduces the uncertainty and increases the accuracy of prediction of long-term functional outcomes in clinically unresponsive ICU patients with brain injuries,” the researchers report. “This result strongly supports the current guidelines for neuroprognostication.”