Parental education and income are linked to offspring cortical brain structure and psychopathology at 9–11 years

Author:

Norbom Linn B.12ORCID,Rokicki Jaroslav23,Eilertsen Espen M.1ORCID,Wiker Thea124,Hanson Jamie56,Dahl Andreas27,Alnæs Dag28,Fernández‐Cabello Sara2,Beck Dani124,Agartz Ingrid24910,Andreassen Ole A.911,Westlye Lars T.7911,Tamnes Christian K.124

Affiliation:

1. PROMENTA Research Center Department of Psychology University of Oslo Oslo Norway

2. NORMENT Institute of Clinical Medicine University of Oslo Oslo Norway

3. Centre of Research and Education in Forensic Psychiatry Oslo University Hospital Oslo Norway

4. Department of Psychiatric Research Diakonhjemmet Hospital Oslo Norway

5. Learning Research and Development Center University of Pittsburgh Pennsylvania Pittsburgh USA

6. Department of Psychology University of Pittsburgh Pennsylvania Pittsburgh USA

7. Department of Psychology University of Oslo Oslo Norway

8. Department of Psychology Pedagogy and Law Kristiania University College Oslo Norway

9. K.G Jebsen Center for Neurodevelopmental Disorders University of Oslo Oslo Norway

10. Centre for Psychiatry Research Department of Clinical Neuroscience Karolinska Institutet & Stockholm Health Care Services Stockholm Sweden

11. NORMENT Division of Mental Health and Addiction Oslo University Hospital & Institute of Clinical Medicine University of Oslo Oslo Norway

Abstract

AbstractBackgroundA child's socioeconomic environment can shape central aspects of their life, including vulnerability to mental disorders. Negative environmental influences in youth may interfere with the extensive and dynamic brain development occurring at this time. Indeed, there are numerous yet diverging reports of associations between parental socioeconomic status (SES) and child cortical brain morphometry. Most of these studies have used single metric‐ or unimodal analyses of standard cortical morphometry that downplay the probable scenario where numerous biological pathways in sum account for SES‐related cortical differences in youth.MethodsTo comprehensively capture such variability, using data from 9758 children aged 8.9–11.1 years from the ABCD Study®, we employed linked independent component analysis (LICA) and fused vertex‐wise cortical thickness, surface area, curvature and grey‐/white‐matter contrast (GWC). LICA revealed 70 uni‐ and multimodal components. We then assessed the linear relationships between parental education, parental income and each of the cortical components, controlling for age, sex, genetic ancestry, and family relatedness. We also assessed whether cortical structure moderated the negative relationships between parental SES and child general psychopathology.ResultsParental education and income were both associated with larger surface area and higher GWC globally, in addition to local increases in surface area and to a lesser extent bidirectional GWC and cortical thickness patterns. The negative relation between parental income and child psychopathology were attenuated in children with a multimodal pattern of larger frontal‐ and smaller occipital surface area, and lower medial occipital thickness and GWC.ConclusionStructural brain MRI is sensitive to SES diversity in childhood, with GWC emerging as a particularly relevant marker together with surface area. In low‐income families, having a more developed cortex across MRI metrics, appears beneficial for mental health.

Funder

Research Council of Norway

Publisher

Wiley

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