Connectome-based predictive modeling of attention: Comparing different functional connectivity features and prediction methods across datasets - Yoo, Kwangsun; Rosenberg, Monica D.; Hsu, Wei-Ting; Zhang, Sheng; Li, Chiang-Shan R.; Scheinost, Dustin; Constable, R. Todd; Chun, Marvin M. (NeuroImage (Orlando, Fla.), 2018)
Keywords: Adult; Algorithms; Attention; Attention - physiology; Attention Deficit Disorder with Hyperactivity - diagnostic imaging; Attention Deficit Disorder with Hyperactivity - physiopathology; Attention deficit hyperactivity disorder; Attention task; Behavior; Brain - diagnostic imaging; Brain - physiology; Brain mapping; Cognitive ability; Connectome - methods; Connectome - standards; Connectome - statistics & numerical data; Datasets as Topic; Discordance; Executive Function - physiology; Functional connectivity; Functional magnetic resonance imaging; Humans; Intelligence; Magnetic Resonance Imaging - methods; Magnetic Resonance Imaging - standards; Magnetic Resonance Imaging - statistics & numerical data; Memory; Methylphenidate; Models, Statistical; Neural networks; Noise; Partial least square regression; Predictive model; Principal components analysis; Psychomotor Performance - physiology; Regression analysis; Reproducibility of Results; Statistical analysis; Studies; Synchronization; Young Adult; Functional connectivity; Predictive model; Attention; Partial least square regression