Machine Learning Identifies Personalized Brain Networks in Children
Wednesday, February 19, 2020 - 14:50
in Psychology & Sociology
Machine learning is helping Penn Medicine researchers identify the size and shape of brain networks in individual children, which may be useful for understanding psychiatric disorders. In a new study published in Neuron, a multidisciplinary team showed how brain networks unique to each child can predict cognition. The study is the first to show that functional neuroanatomy can vary greatly among kids, and is refined during development.