Cited by 58Attention Deficit Hyperactivity DisorderFunctional Brain Connectivity StudiesAutism Spectrum Disorder Research

Aberrant development of functional connectivity among resting state-related functional networks in medication-naive ADHD children

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Choi, Jeewook, Jeong, Bumseok, Lee, Sang Won, Go, Hyo-Jin·2013·PLoS ONE

Abstract

OBJECTIVE: The aim of this study was to investigate the compromised developmental trajectory of the functional connectivity among resting-state-related functional networks (RSFNs) in medication-naïve children with attention-deficit/hyperactivity disorder (ADHD). SUBJECTS AND METHODS: Using both independent component analysis and dual regression, subject-specific time courses of 12 RSFNs were extracted from both 20 medication-naïve children with ADHD, and 20 age and gender-matched control children showing typical development (TDC). Both partial correlation coefficients among the 12 RSFNs and a resting-state resource allocation index (rsRAI) of the salience network (SN) were entered into multiple linear regression analysis to investigate the compromised, age-related change in medication-naïve ADHD children. Finally, correlation analyses were performed between the compromised RSFN connections showing significant group-by-age interaction and rsRAI of SN or clinical variables. RESULTS: Medication-naïve ADHD subjects failed to show age-related increment of functional connectivity in both rsRAI of SN and two RSFN connections, SN-Sensory/motor and posterior default mode/precuneus network (pDMN/prec)--anterior DMN. Lower SN-Sensory/motor connectivity was related with higher scores on the ADHD Rating Scale, and with poor scores on the continuous performance test. The pDMN/prec-aDMN connectivity was positively related with rsRAI of SN. CONCLUSIONS: Our results suggest that medication-naïve ADHD subjects may have delayed maturation of the two functional connections, SN-Sensory/Motor and aDMN-pDMN/prec. Interventions that enhance the functional connectivity of these two connections may merit attention as potential therapeutic or preventive options in both ADHD and TDC.

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  1. [20]Dupaul GJ PT, Anastopoulos AD, Reid R (1998) The ADHD rating scale-IV: Checklists, norm, and clinical interpretation. New York: Guilford Press.

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Authors
Choi, J., Jeong, B., Lee, S. W., & Go, H.-J.
Affiliations
  • The Catholic University of Korea Daejeon St. Mary's Hospital (KR)
  • Korea Advanced Institute of Science and Technology (KR)
Corresponding author
Jeong, Bumseok
Venue
PLoS ONE
Published
2013-12-26
Volume
8
Issue
12
Pages
e83516
ISSN
1932-6203 (ISSN-L)
OpenAlex
W1994662974
Cited by
58
References
53
Citations by year
2025: 4 · 2024: 2 · 2023: 2 · 2022: 7 · 2021: 3 · 2020: 5 · 2019: 8 · 2018: 8 · 2017: 4 · 2016: 8 · 2015: 7
FWCI
3.56
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Research Foundation (NRF-2012R1A1A2001 and NRF-2006-2005372, NRF‐2006‐2005372, NRF-2012R1A1A2001)
  • Ministry of Education, Science and Technology (N01130010, G04110085, N01130009)
  • Korea Advanced Institute of Science and Technology
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Attention Deficit Hyperactivity Disorder
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Functional Brain Connectivity Studies
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Autism Spectrum Disorder Research
Keywords
attention deficit hyperactivity disorder, resting-state functional connectivity, functional networks, salience network, default mode network, precuneus, sensorimotor network, network maturation, developmental trajectories, continuous performance test, ADHD Rating Scale
MeSH terms
Adolescent, Algorithms, Attention Deficit Disorder with Hyperactivity, Brain, Brain Mapping, Child, Cognition, Female, Humans, Magnetic Resonance Imaging, Male, Neural Pathways, Risk Factors, Models, Statistical

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