Functional connectivity of child and adolescent attention deficit hyperactivity disorder patients: Correlation with IQ

Bo Yong Park, Jisu Hong, Seung Hak Lee, Hyunjin Park

Research output: Contribution to journalArticlepeer-review

13 Scopus citations

Abstract

Attention deficit hyperactivity disorder (ADHD) is a pervasive neuropsychological disorder that affects both children and adolescents. Child and adolescent ADHD patients exhibit different behavioral symptoms such as hyperactivity and impulsivity, but not much connectivity research exists to help explain these differences. We analyzed openly accessible resting-state functional magnetic resonance imaging (rs-fMRI) data on 112 patients (28 child ADHD, 28 adolescent ADHD, 28 child normal control (NC), and 28 adolescent NC). We used group independent component analysis (ICA) and weighted degree values to identify interaction effects of age (child and adolescent) and symptom (ADHD and NC) in brain networks. The frontoparietal network showed significant interaction effects (p = 0.0068). The frontoparietal network is known to be related to hyperactive and impulsive behaviors. Intelligence quotient (IQ) is an important factor in ADHD, and we predicted IQ scores using the results of our connectivity analysis. IQ was predicted using degree centrality values of networks with significant interaction effects of age and symptom. Actual and predicted IQ scores demonstrated significant correlation values, with an error of about 10%. Our study might provide imaging biomarkers for future ADHD and intelligence studies.

Original languageEnglish
Article number565
JournalFrontiers in Human Neuroscience
Volume10
Issue numberNOV2016
DOIs
StatePublished - 9 Nov 2016

Keywords

  • Attention deficit hyperactivity disorder
  • Connectivity
  • Group ICA
  • IQ
  • Resting-state fMRI

Fingerprint

Dive into the research topics of 'Functional connectivity of child and adolescent attention deficit hyperactivity disorder patients: Correlation with IQ'. Together they form a unique fingerprint.

Cite this