Polygenic risk score for attention‐deficit/hyperactivity disorder and brain functional networks segregation in a community‐based sample

Author:

Sato João Ricardo12345ORCID,Biazoli Claudinei Eduardo16,Bueno Ana Paula Arantes1,Caye Arthur47,Pan Pedro Mario24,Santoro Marcos248,Honorato‐Mauer Jessica9,Salum Giovanni Abrahão47,Hoexter Marcelo Queiroz2410,Bressan Rodrigo Affonseca24,Jackowski Andrea Parolin211,Miguel Euripedes Constantino49,Belangero Sintia248,Rohde Luis Augusto471213

Affiliation:

1. Center of Mathematics, Computing, and Cognition Universidade Federal do ABC Santo André Brazil

2. Laboratory of Integrative Neuroscience (LiNC) Universidade Federal de São Paulo (UNIFESP) Sao Paulo Brazil

3. Department of Radiology, School of Medicine University of Sao Paulo Sao Paulo Brazil

4. National Institute of Developmental Psychiatry for Children and Adolescents (CNPq) Sao Paulo Brazil

5. Big Data Hospital Israelita Albert Einstein Sao Paulo Brazil

6. Department of Experimental and Biological Psychology Queen Mary University of London London UK

7. Hospital de Clínicas de Porto Alegre and Department of Psychiatry Federal University of Rio Grande do Sul Porto Alegre Brazil

8. Department of Biochemistry Universidade Federal de São Paulo (UNIFESP) Sao Paulo Brazil

9. Department of Morphology and Genetics Universidade Federal de São Paulo (UNIFESP) Sao Paulo Brazil

10. Department of Psychiatry, School of Medicine University of Sao Paulo Sao Paulo Brazil

11. Department of Education, ICT and Learning Østfold University College Halden Norway

12. UniEduK Jaguariúna Brazil

13. ADHD Outpatient Program & Developmental Psychiatry Program Hospital de Clinica de Porto Alegre, Federal University of Rio Grande do Sul Porto Alegre Brazil

Abstract

AbstractNeuroimaging studies suggest that brain development mechanisms might explain at least some behavioural and cognitive attention‐deficit/hyperactivity disorder (ADHD) symptoms. However, the putative mechanisms by which genetic susceptibility factors influence clinical features via alterations of brain development remain largely unknown. Here, we set out to integrate genomics and connectomics tools by investigating the associations between an ADHD polygenic risk score (ADHD‐PRS) and functional segregation of large‐scale brain networks. With this aim, ADHD symptoms score, genetic and rs‐fMRI (resting‐state functional magnetic resonance image) data obtained in a longitudinal community‐based cohort of 227 children and adolescents were analysed. A follow‐up was conducted approximately 3 years after the baseline, with rs‐fMRI scanning and ADHD likelihood assessment in both stages. We hypothesised a negative correlation between probable ADHD and the segregation of networks involved in executive functions, and a positive correlation with the default‐mode network (DMN). Our findings suggest that ADHD‐PRS is correlated with ADHD at baseline, but not at follow‐up. Despite not surviving for multiple comparison correction, we found significant correlations between ADHD‐PRS and segregation of cingulo‐opercular networks and DMN at baseline. ADHD‐PRS was negatively correlated with the segregation level of cingulo‐opercular networks but positively correlated with the DMN segregation. These directions of associations corroborate the proposed counter‐balanced role of attentional networks and DMN in attentional processes. However, the association between ADHD‐PRS and brain networks functional segregation was not found at follow‐up. Our results provide evidence for specific influences of genetic factors on development of attentional networks and DMN.We found significant correlations between polygenic risk score for ADHD (ADHD‐PRS) and segregation of cingulo‐opercular networks and default‐mode network (DMN) at baseline. ADHD‐PRS was negatively correlated with the segregation level of cingulo‐opercular networks but positively correlated with the DMN segregation.

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Wiley

Subject

Behavioral Neuroscience,Neurology,Genetics

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