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Related Experiment Video

Updated: Nov 23, 2025

Measurement of Fronto-limbic Activity Using an Emotional Oddball Task in Children with Familial High Risk for Schizophrenia

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Shared and Anxiety-Specific Pediatric Psychopathology Dimensions Manifest Distributed Neural Correlates.

Julia O Linke¹, Rany Abend¹, Katharina Kircanski¹

¹Emotion and Development Branch, National Institute of Mental Health, National Institutes of Health, Bethesda, Maryland.

Biological Psychiatry

|January 2, 2021

Summary

Researchers identified replicable brain connectivity patterns associated with pediatric anxiety, irritability, and ADHD. These patterns involve widespread weak connections, not confined to specific brain networks, offering new insights into comorbid psychiatric conditions.

Keywords:

Anxiety Disruptive behavior Intrinsic brain connectivity Irritability Joint canonical correlation and independent component analysis Youth

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Area of Science:

Neuroscience
Psychiatry
Biomarker Discovery

Background:

Psychiatric biomarkers from neuroimaging remain unreliable, especially in youth with high comorbidity.
Canonical correlation analysis can model interdependencies between symptom dimensions and neural measures.
This study addresses the challenge of comorbidity in pediatric mental health.

Purpose of the Study:

To map associations between intrinsic functional connectivity and pediatric symptoms of anxiety, irritability, and attention-deficit/hyperactivity disorder (ADHD).
To evaluate the replicability of identified latent dimensions in an independent sample.
To explore multivariate associations in common, co-occurring pediatric mental health problems.

Main Methods:

Acquired resting-state functional magnetic resonance imaging (fMRI) data and clinical ratings from two independent cohorts of youth.
Modeled functional connectivity using partial correlations among 216 brain areas.
Employed joint canonical correlation analysis and independent component analysis to identify latent dimensions of brain connectivity and clinical symptoms.

Main Results:

Identified three canonical variates with cross-dataset similarities: two capturing shared aspects of irritability, ADHD, and anxiety, and one specific to anxiety.
Canonical variates comprised interconnections across established brain networks, not confined to specific networks.
Found two replicable types of clinical variates, one linked to multiple symptom dimensions and another specific to anxiety.

Conclusions:

Two types of replicable clinical variates were identified, highlighting shared and specific symptom dimensions.
These variates are characterized by broadly distributed, weak brain connections rather than strong, network-specific ones.
Findings suggest novel approaches to understanding and potentially identifying biomarkers for comorbid pediatric psychiatric conditions.