Evidence map›Paper›PMID 36811275›Full record

ArticleGenes, brain, and behavior2023

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

João Ricardo Sato, Claudinei Eduardo Biazoli, Ana Paula Arantes Bueno, Arthur Caye, Pedro Mario Pan, Marcos Santoro, Jessica Honorato-Mauer, Giovanni Abrahão Salum, Marcelo Queiroz Hoexter, Rodrigo Affonseca Bressan and 4 more

Open access · hybridAbstract read
In one paragraph

Article in Genes, brain, and behavior, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.2field-weighted citation impact, top 23% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors at 5 institutions in 3 countries.

João Ricardo SatoCenter of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.ORCID 0000-0002-7503-9781
Claudinei Eduardo BiazoliCenter of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.
Ana Paula Arantes BuenoCenter of Mathematics, Computing, and Cognition, Universidade Federal do ABC, Santo André, Brazil.
Arthur CayeNational Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.
Pedro Mario PanLaboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.
Marcos SantoroLaboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.
Jessica Honorato-MauerDepartment of Morphology and Genetics, Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.
Giovanni Abrahão SalumNational Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.
Marcelo Queiroz HoexterLaboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.
Rodrigo Affonseca BressanLaboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.
Andrea Parolin JackowskiLaboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.
Euripedes Constantino MiguelNational Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.
Sintia BelangeroLaboratory of Integrative Neuroscience (LiNC), Universidade Federal de São Paulo (UNIFESP), Sao Paulo, Brazil.
Luis Augusto RohdeNational Institute of Developmental Psychiatry for Children and Adolescents (CNPq), Sao Paulo, Brazil.
National Council for Scientific and Technological Development · BRØstfold University College · NOQueen Mary University of London · GBUniversidade Federal de São Paulo · BRUniversidade Federal do ABC · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Neuroimaging 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.

Indexed as

Attention Deficit Disorder with HyperactivityConnectomeAdolescentBrainChildHumansMagnetic Resonance ImagingNeural PathwaysRisk FactorsADHDDMNGWASnetworksnetwork segregationpolygenic risk scorers-fMRI

Identifiers

PMID36811275
PMCPMC10067387
OpenAlexW4321498378

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.