Common functional brain networks between attention deficit and disruptive behaviors in youth

Ting Yat Wong; Han Zhang; Tonya White; Liyuan Xu; Anqi Qiu

doi:10.1016/j.neuroimage.2021.118732

Common functional brain networks between attention deficit and disruptive behaviors in youth

Neuroimage. 2021 Dec 15:245:118732. doi: 10.1016/j.neuroimage.2021.118732. Epub 2021 Nov 20.

Authors

Ting Yat Wong¹, Han Zhang¹, Tonya White², Liyuan Xu³, Anqi Qiu⁴

Affiliations

¹ Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, 4 Engineering Drive 3, Block E4 #04-08, Singapore 117583, Singapore.
² Department of Child and Adolescent Psychiatry, Erasmus University Medical Centre, Rotterdam, Netherlands; Department of Radiology and Nuclear Medicine, Erasmus University Medical Centre, Rotterdam, Netherlands.
³ School of Computer Engineering and Science, Shanghai University, China.
⁴ Department of Biomedical Engineering, Faculty of Engineering, National University of Singapore, 4 Engineering Drive 3, Block E4 #04-08, Singapore 117583, Singapore; NUS (Suzhou) Research Institute, National University of Singapore, China; School of Computer Engineering and Science, Shanghai University, China; The N.1 Institute for Health, National University of Singapore, Singapore; Institute of Data Science, National University of Singapore, Singapore; Department of Biomedical Engineering, the Johns Hopkins University, United States. Electronic address: bieqa@nus.edu.sg.

PMID: 34813970
DOI: 10.1016/j.neuroimage.2021.118732

Abstract

Attention deficits (AD) and disruptive behavior (DB) are highly comorbid youth externalizing behaviors. This study aimed to study reliable functional brain networks shared by AD and DB in youth aged from 8 to 21 years from the Philadelphia Neurodevelopmental Cohort (PNC). The PNC study assessed AD and DB behaviors via Kiddie-Schedule for Affective Disorders and Schizophrenia (K-SADS). This study employed sparse canonical correlation analysis (SCCA) to examine the correlation of AD and DB behaviors with resting-state functional connectivity maps of the brain regions identified via activation likelihood estimation (ALE) meta-analyses on attention deficit/hyperactivity disorder (ADHD) and DB disorder (DBD). Our meta-analyses identified that the middle cingulate cortex, pre-supplementary motor area (pre-SMA), and striatum had a great consensus in existing ADHD studies and the amygdala and inferior parietal lobule were consistently found in existing DBD studies. Our SCCA analysis revealed that the AD and DB behavioral items relevant to inattention and delinquency were correlated with the functional connectivity of the pre-SMA with the ventral attentional and frontoparietal networks (FPN), and the striatum with the default mode (DMN) and dorsal attentional networks. The AD and DB behavioral items relevant to inattention and irritability were associated with the functional connectivity between the amygdala and the DMN and FPN. Our findings suggest that the functional organization of the ADHD- and DBD-related brain regions provides insights on the shared neural basis in AD and DB.

Keywords: ADHD; Activation likelihood estimation; DBD; Externalizing behavior; Functional connectivity; Resting-state fMRI.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Adolescent
Attention Deficit Disorder with Hyperactivity / diagnostic imaging*
Attention Deficit Disorder with Hyperactivity / physiopathology*
Brain / physiopathology*
Brain Mapping / methods*
Child
Female
Humans
Magnetic Resonance Imaging / methods*
Male
Neural Pathways / physiopathology*
Problem Behavior*
Young Adult