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Related Experiment Video

Updated: Jul 27, 2025

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

Brain Morphology of Cannabis Users With or Without Psychosis: A Pilot MRI Study

Published on: August 18, 2020

Distinct brain network features predict internalizing and externalizing traits in children and adults.

Yueyue Lydia Qu¹, Jianzhong Chen^2,3,4,5, Angela Tam^2,3,4,5

¹Department of Psychology, Yale University, New Haven, CT, USA.

Biorxiv : the Preprint Server for Biology

|June 9, 2023

Summary

Brain network features predicting internalizing and externalizing behaviors are dissociable in children but not adults. This study reveals distinct and shared brain network patterns across development for these behavioral traits.

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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

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Developing Neuroimaging Phenotypes of the Default Mode Network in PTSD: Integrating the Resting State, Working Memory, and Structural Connectivity

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Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Probing the Brain in Autism Using fMRI and Diffusion Tensor Imaging

Published on: September 12, 2011

Area of Science:

Neuroscience
Psychiatry
Developmental Psychology

Background:

Internalizing and externalizing behaviors represent distinct psychiatric classifications.
Understanding the neural underpinnings of these behaviors across development is crucial but remains unclear.
Previous research has not fully elucidated shared versus unique brain network predictors.

Approach:

Analyzed brain network features from 2262 children (Adolescent Brain Cognitive Development study) and 752 adults (Human Connectome Project).
Investigated brain network similarities and differences predicting internalizing and externalizing behaviors.
Utilized both task and resting-state functional magnetic resonance imaging data.

Key Points:

In children, brain network features predicting internalizing behaviors overlap significantly with those predicting externalizing behaviors.
This overlap is less pronounced in adults, suggesting developmental changes in neural prediction.
Distinct network features predict internalizing and externalizing behaviors in both children and adults, but the pattern differs between age groups.

Conclusions:

Brain network predictors for internalizing and externalizing behaviors are partially dissociable in children, but not in adults.
Developmental trajectories influence the relationship between brain networks and behavioral phenotypes.
These findings highlight both shared and unique neural mechanisms underlying behavioral variation across the lifespan.