Using Machine Learning to Determine a Functional Classifier of Retaliation and Its Association With Aggression.

ABSTRACT:

Objective

Methods to determine integrity of integrated neural systems engaged in functional processes have proven elusive. This study sought to determine the extent to which a machine learning retaliation classifier (retaliation vs unfair offer) developed from a sample of typically developing (TD) adolescents could be applied to an independent sample of clinically concerning youth and the classifier-determined functional integrity for retaliation was associated with antisocial behavior and proactive and reactive aggression.

Method

Blood oxygen level-dependent response data were collected from 82 TD and 120 clinically concerning adolescents while they performed a retaliation task. The support vector machine algorithm was applied to the TD sample and tested on the clinically c

SUBMITTER: Richard Blair RJ 

PROVIDER: S-EPMC11914915 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature