Separating group- and individual-level brain signatures in the newborn functional connectome: A deep learning approach - Kim, Jung-Hoon; De Asis-Cruz, Josepheen; Limperopoulos, Catherine (NeuroImage (Orlando, Fla.), 2024)
Keywords: Adult; Age; Age prediction; Babies; Brain - diagnostic imaging; Brain - growth & development; Brain - physiology; Brain mapping; Brain research; Connectome - methods; Datasets; Deep Learning; DNA fingerprinting; Female; Functional magnetic resonance imaging; Humans; Individual uniqueness; Infant, Newborn; Magnetic Resonance Imaging - methods; Male; Neonate; Neonates; Nerve Net - diagnostic imaging; Nerve Net - physiology; Neural networks; Neurodevelopment; Neuroimaging; Newborn babies; Older people; Phenotypes; Resting-state fMRI; Sensorimotor system; Subject identification; Variables; Variational autoencoder; Young Adult; Young adults; Resting-state fMRI; Variational autoencoder; Neonate; Age prediction; Subject identification; Individual uniqueness