Machine Learning Identifies Personalized Brain Networks in Children

Penn analyze demonstrates variability among the children’s neural anatomy that may well advise individualized remedies for psychiatric conditions.

Device studying is helping Penn Medication scientists detect the dimension and condition of brain networks in personal youngsters, which may well be useful for knowledge psychiatric conditions.

In a new analyze posted in the journal Neuron, a multidisciplinary staff confirmed how brain networks exceptional to every youngster can predict cognition. The study—which made use of equipment studying techniques to analyze the useful magnetic resonance imaging (fMRI) scans of practically seven hundred youngsters, adolescents, and younger adults—is the 1st to show that

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