A framework for the acquisition of neural features, feature selection and mechanism analysis of consciousness deficits in patients with prolonged disorders of consciousness. Based on the multimodal data of three types of patients with DOC, the investigators established a comprehensive scientific collection of brain function features of acute and prolonged consciousness disorders; Revealed the key neural nodes and circuits of consciousness deficits, and elucidated the neural mechanisms of consciousness deficits in patients with prolonged consciousness disorders from EEG time-frequency-spatial features; Analyzed the EEG activity and brain network changes before and after stimulation by TMS stimulation of key brain regions, and correlated them with brain function. To verify the time-frequency-space neural mechanism of consciousness.
The research focuses on establishing a system for detecting loss of consciousness, developing clinical prognostic and awakening-related brain function testing criteria, and validating the effectiveness of key technologies for targeted combined non-invasive interventions in awakening consciousness.