Benyan Luo

Abstract Predicting the outcome of comatose patients in the intensive care unit (ICU) can inform decision making but remains challenging. Recent studies suggest that task-state electroencephalography (EEG) can detect covert cognition and facilitate patient prognosis. This study aimed to predict the outcome of comatose patients, by assessing covert processing of familiar names using a state-of-the-art EEG frequency tagging approach.

Abstract Neurons and glia are distinct in their morphology, development and function, possessing unique transcriptomes and proteomes, but little is known about their metabolomes. The challenge of brain cell metabolic profiling is to obtain a large number of cells for reliable analysis. Here we purified microglia, astrocytes and neurons from mouse brains, identifying >70 metabolites through targeted metabolomics and 9,854 metabolite features via untargeted metabolomics.

1Department of Pathology, The First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang 310002, China 2National Human Brain Bank for Health and Disease, Zhejiang University, Hangzhou, Zhejiang 310002, China 3School of Brain Science and Brain Medicine, Zhejiang University, Hangzhou, Zhejiang 310002, China 4BGI Research, Hangzhou 310030, China 5BGI Research, Shenzhen 518083, China 6College of Life Sciences, University of Chinese Academy of Sciences, Beijing 100049,...