Age-related brain deviations and aggression.

Area of Science:

• Neuroscience
• Developmental Psychology
• Psychiatry

Background:

• Disruptive Behavior Disorders (DBD) are clinically and biologically heterogeneous.
• Understanding neurodevelopmental deviations in the affective brain circuitry is crucial for dissecting DBD heterogeneity.

Purpose of the Study:

• To dissect heterogeneous neurodevelopmental deviations in the affective brain circuitry in DBD.
• To integrate these differences across multiple modalities (functional and anatomical imaging).

Main Methods:

• Employed normative modeling to map individual deviations from typical age-related patterns in brain activity and anatomy.
• Utilized linked independent component analysis to integrate subject-specific deviations from functional and anatomical data.
• Studied 77 DBD cases and 52 controls aged 8-18 years.

Main Results:

• DBD cases showed widespread, individual-level deviations in brain activity during emotion processing, particularly in the amygdala.
• Multimodal integration explained 23% of the variance in the DBD phenotype.
• The default mode network (DMN), amygdala, and striatum emerged as key neural signatures associated with aggression.

Conclusions:

• Increased age-related deviations in the amygdala suggest potential maturational delays in DBD.
• Integrating multimodal imaging data helps dissect DBD heterogeneity.
• The DMN, striatum, and amygdala are identified as neural correlates of aggression in DBD.