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๐™ˆ๐™–๐™˜๐™๐™ž๐™ฃ๐™š ๐™‡๐™š๐™–๐™ง๐™ฃ๐™ž๐™ฃ๐™œ ๐™๐™š๐™ซ๐™š๐™–๐™ก๐™จ ๐๐ซ๐š๐ข๐ง ๐™‰๐™š๐™ฉ๐™ฌ๐™ค๐™ง๐™ ๐™จ ๐ˆ๐ง๐ฏ๐จ๐ฅ๐ฏ๐ž๐ ๐ข๐ง ๐‚๐ก๐ข๐ฅ๐ ๐€๐ ๐ ๐ซ๐ž๐ฌ๐ฌ๐ข๐จ๐ง

๐™”๐™–๐™ก๐™š ๐™๐™ฃ๐™ž๐™ซ๐™š๐™ง๐™จ๐™ž๐™ฉ๐™ฎ

Child psychiatric disorders, such as oppositional defiant disorder and attention-deficit/hyperactivity disorder (ADHD), can feature outbursts of anger and physical aggression. A better understanding of what drives these symptoms could help inform treatment strategies. Yale researchers have now used a machine learning-based approach to uncover disruptions of brain connectivity in children displaying aggression.


In the first study of its kind, Yale researchers use machine learning to find large-scale neural connections linked to aggressive behavior in children.