Pharmacologically informed machine learning approach for identifying pathological states of unconsciousness via resting-state fMRI - Campbell, Justin M.; Huang, Zirui; Zhang, Jun; Wu, Xuehai; Qin, Pengmin; Northoff, Georg; Mashour, George A.; Hudetz, Anthony G. (NeuroImage (Orlando, Fla.), 2020)
Keywords: Adolescent; Adult; Aged; Agonists; Anesthesia; Anesthesia, General; Brain - diagnostic imaging; Brain - physiopathology; Brain research; Child; Conscious Sedation; Consciousness; Consciousness Disorders - diagnostic imaging; Consciousness Disorders - physiopathology; Datasets; Deep learning; Deep Sedation; Disorders of consciousness; Female; fMRI; Functional connectivity; Functional magnetic resonance imaging; Functional Neuroimaging; Gas flow; Humans; Learning algorithms; Machine Learning; Magnetic Resonance Imaging; Male; Medical imaging; Medical personnel; Middle Aged; Neural networks; Neural Networks, Computer; Persistent Vegetative State - diagnostic imaging; Persistent Vegetative State - physiopathology; Rest; Resting-state; Sleep and wakefulness; Studies; Support Vector Machine; Unconsciousness; Unconsciousness - diagnostic imaging; Unconsciousness - physiopathology; Wakefulness; Young Adult; United States--US; Wisconsin; Functional connectivity; Deep learning; fMRI; Consciousness; Disorders of consciousness; Machine learning; Resting-state; Anesthesia