Predicting cortical-thalamic functional connectivity using functional near-infrared spectroscopy and graph convolutional networks - Tang, Lingkai; Kebaya, Lilian M. N.; Vahidi, Homa; Meyerink, Paige; de Ribaupierre, Sandrine; Bhattacharya, Soume; St. Lawrence, Keith; Duerden, Emma G. (Scientific reports, 2024)
Keywords: 631/114/116/1925; 631/114/1305; 692/700/1421/65; Adult; Brain Injuries - diagnostic imaging; Brain Injuries - physiopathology; Brain injury; Brain mapping; Cerebral Cortex - diagnostic imaging; Cerebral Cortex - physiology; Female; Functional connectivity; Functional magnetic resonance imaging; Functional near-infrared spectroscopy; Graph convolutional network; Humanities and Social Sciences; Humans; Infant, Newborn; Infrared spectroscopy; Machine Learning; Magnetic resonance imaging; Magnetic Resonance Imaging - methods; Male; multidisciplinary; Neonates; Neural networks; Neural Networks, Computer; Neuroimaging; Prediction models; Science; Science (multidisciplinary); Spectroscopy, Near-Infrared - methods; Spectrum analysis; Thalamus; Thalamus - diagnostic imaging; Thalamus - physiology; Young Adult; Functional connectivity; Functional magnetic resonance imaging; Graph convolutional network; Functional near-infrared spectroscopy; Machine learning