A connectome-based neural correlate of pediatric ADHD hyperactivity–impulsivity symptoms

By
Jie Tao
Yue Wu
Ping Liu
Rong Wang
Ranran Gao
Dai Zhang
Qing Zhang
Feng Geng
June 17, 2026
0 min

Frontiers In Psychiatry

Overview

This study identifies brain networks associated with hyperactivity and impulsivity in children with ADHD, utilizing resting-state fMRI data. A predictive model based on functional connectivity matrices successfully correlates with symptom severity.

Background

ADHD is a prevalent neurodevelopmental disorder affecting approximately 8.0% of children globally, characterized by inattention, hyperactivity, and impulsivity. The disorder leads to significant functional impairments and is often accompanied by various comorbidities, impacting academic and social outcomes. Understanding the neural correlates of ADHD symptoms is crucial for developing objective diagnostic markers and improving treatment strategies.

Data Highlights

The study included 44 children with ADHD (mean age = 8.45 years). The CPM model predicted hyperactivity–impulsivity symptoms with a correlation of r = 0.48 (p = 0.001) based on SNAP-IV ratings and r = 0.49 (p = 0.0009) based on Conners ratings.

Key Findings

The CPM model effectively predicted hyperactivity–impulsivity symptoms in children with ADHD.
Stronger connectivity between the frontoparietal control network (FPN) and the dorsal attention network (DAN) was associated with greater symptom severity.
Weaker connectivity was observed between the FPN and both the ventral attention network (VAN) and the somatomotor network (SMN) in relation to symptom severity.
The findings suggest that whole-brain functional connectivity may serve as a preliminary neuroimaging marker for ADHD symptoms.
Current ADHD diagnosis primarily relies on clinical symptom reports, highlighting the need for objective markers.

Clinical Implications

The study's findings suggest that functional connectivity patterns may provide insights into the neural mechanisms underlying ADHD symptoms. This could pave the way for future research aimed at validating neuroimaging markers for ADHD diagnosis and treatment.

Conclusion

The research highlights the association between whole-brain functional connectivity and hyperactivity–impulsivity symptoms in children with ADHD, emphasizing the role of specific brain networks. Further validation is needed to establish these findings as reliable neuroimaging markers.