Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction

Machine learning reveals sex differences in distinguishing between conduct-disordered and neurotypical youth based on emotion processing dysfunction

Abstract Background Theoretical models of conduct disorder (CD) highlight that deficits in emotion recognition, learning, and regulation play a pivotal role in CD etiology. With CD being more prevalent in boys than girls, various theories aim to explain this sex difference. The “differential thresho...

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Bibliographic Details
Main Authors: Gregor Kohls, Erik M. Elster, Peter Tino, Graeme Fairchild, Christina Stadler, Arne Popma, Christine M. Freitag, Stephane A. De Brito, Kerstin Konrad, Ruth Pauli
Format: Article
Language:English
Published: BMC 2025-02-01
Series:BMC Psychiatry
Subjects:
Conduct disorder
Emotion processing
Emotion dysfunction
Machine learning
Sex differences
Youth
Online Access:https://doi.org/10.1186/s12888-025-06536-6
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