Obsessive-Compulsive Symptoms Among Children in the Adolescent Brain and Cognitive Development Study: Clinical, Cognitive, and Brain Connectivity Correlates

David Pagliaccio; Katherine Durham; Kate D Fitzgerald; Rachel Marsh

doi:10.1016/j.bpsc.2020.10.019

Obsessive-Compulsive Symptoms Among Children in the Adolescent Brain and Cognitive Development Study: Clinical, Cognitive, and Brain Connectivity Correlates

Biol Psychiatry Cogn Neurosci Neuroimaging. 2021 Apr;6(4):399-409. doi: 10.1016/j.bpsc.2020.10.019. Epub 2020 Nov 6.

Authors

David Pagliaccio¹, Katherine Durham², Kate D Fitzgerald³, Rachel Marsh²

Affiliations

¹ Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York. Electronic address: david.pagliaccio@nyspi.columbia.edu.
² Division of Child and Adolescent Psychiatry, New York State Psychiatric Institute, New York, New York; Department of Psychiatry, Vagelos College of Physicians and Surgeons, Columbia University, New York, New York.
³ Department of Psychiatry, University of Michigan, Ann Arbor, Michigan.

Abstract

Background: Childhood obsessive-compulsive symptoms (OCSs) are common and can be an early risk marker for obsessive-compulsive disorder. The Adolescent Brain and Cognitive Development (ABCD) Study provides a unique opportunity to characterize OCSs in a large normative sample of school-age children and to explore corticostriatal and task-control circuits implicated in pediatric obsessive-compulsive disorder.

Methods: The ABCD Study acquired data from 9- and 10-year-olds (N = 11,876). Linear mixed-effects models probed associations between OCSs (Child Behavior Checklist) and cognition (NIH Toolbox), brain structure (subcortical volume, cortical thickness), white matter (diffusion tensor imaging), and resting-state functional connectivity.

Results: OCS scores showed good psychometric properties and high prevalence, and they were related to familial/parental factors, including family conflict. Higher OCS scores related to better cognitive performance (β = .06, t_9966.₆₀ = 6.28, p < .001, η_p²= .01), particularly verbal, when controlling for attention-deficit/hyperactivity disorder, which related to worse performance. OCSs did not significantly relate to brain structure but did relate to lower superior corticostriatal tract fractional anisotropy (β = -.03, t = -3.07, p = .002, η_p²= .02). Higher OCS scores were related to altered functional connectivity, including weaker connectivity within the dorsal attention network (β = -.04, t_7262.87 = -3.71, p < .001, η_p²= .002) and weaker dorsal attention-default mode anticorrelation (β = .04, t_7251.95 = 3.94, p < .001, η_p² = .002). Dorsal attention-default mode connectivity predicted OCS scores at 1 year (β = -.04, t_2407.61 = -2.23, p = .03, η_p² = .03).

Conclusions: OCSs are common and may persist throughout childhood. Corticostriatal connectivity and attention network connectivity are likely mechanisms in the subclinical-to-clinical spectrum of OCSs. Understanding correlates and mechanisms of OCSs may elucidate their role in childhood psychiatric risk and suggest potential utility of neuroimaging, e.g., dorsal attention-default mode connectivity, for identifying children at increased risk for obsessive-compulsive disorder.

Keywords: ABCD; Children; DTI; Dorsal attention network; MRI; OCD.

Publication types

Research Support, N.I.H., Extramural

MeSH terms

Adolescent
Attention Deficit Disorder with Hyperactivity*
Brain
Child
Cognition
Diffusion Tensor Imaging
Humans
Obsessive-Compulsive Disorder*

Abstract

Publication types

MeSH terms

Grants and funding