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Emergence of resting state networks in the preterm human brain

This paper applies novel MR imaging methods including a 4-dimensional neonatal brain atlas, independent component analysis and correlation methods to define the development of brain network architecture in newborn infants. We discovered that brain networks, such as visual, auditory, somatosensory and motor, develop at different rates during the third trimester and are largely complete at the normal time of birth rather than developing during the acquisition of cognitive competencies during early childhood. It is a significant contribution to systems neuroscience, defining the ontogeny of networks critical in mature human brain. This work is published in a top general science journal.