Genetic and Structural Brain Correlates of Cognitive Subtypes Across Youth at Family Risk for Schizophrenia and Bipolar Disorder

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dc.catalogadoraba
dc.contributor.authorValli, I.
dc.contributor.authorDe la Serna, E.
dc.contributor.authorPariente, J. C.
dc.contributor.authorCalvet Mirabent, A.
dc.contributor.authorBorras, R.
dc.contributor.authorIlzarbe, D.
dc.contributor.authorBaeza, I.
dc.contributor.authorRosa Justicia, M.
dc.contributor.authorGarcia Rizo, C.
dc.contributor.authorVieta, E.
dc.contributor.authorMas, S.
dc.contributor.authorCastro Fornieles, J.
dc.contributor.authorSugranyes, G.
dc.contributor.authorCrossley, Nicolás
dc.contributor.authorYoung, A. H.
dc.contributor.authorMoreno, D.
dc.contributor.authorSegura, A. G.
dc.contributor.authorMartín Martinez, N.
dc.contributor.authorDíaz Caneja, C. M.
dc.date.accessioned2024-06-10T21:25:31Z
dc.date.available2024-06-10T21:25:31Z
dc.date.issued2022
dc.description.abstractObjective: Cognitive impairment is an important feature of Schizophrenia (SZ) and Bipolar Disorder (BP) with severity across the two disorders characterized by significant heterogeneity. Youth at family risk for SZ and BP were clustered based on cognitive function and examined in terms of the clinical, genetic, and brain imaging correlates of cluster membership. Method: One hundred sixty participants, 32 offspring of patients with SZ, 59 offspring of patients with BP and 69 offspring of healthy control parents underwent clinical and cognitive assessments, genotyping and structural MRI. K-means clustering was used to group family risk participants based on cognitive measures. Clusters were compared in terms of cortical and subcortical brain measures as well as polygenic risk scores. Results: Participants were grouped in 3 clusters with intact, intermediate, and impaired cognitive performance. The intermediate and impaired clusters had lower total brain surface area compared with the intact cluster, with prominent localization in frontal and temporal cortices. No between-cluster differences were identified in cortical thickness and subcortical brain volumes. The impaired cluster also had poorer psychosocial functioning and worse PRS-COG compared with the other 2 clusters and with offspring of healthy control parents, while there was no significant between-cluster difference in terms of PRS-SZ and PRS-BP. PRS-COG predicted psychosocial functioning, yet this effect did not appear to be mediated by an effect of PRS-COG on brain area. Conclusion: Stratification based on cognition may help to elucidate the biological underpinnings of cognitive heterogeneity across SZ and BP risk.
dc.format.extent10 páginas
dc.fuente.origenScopus
dc.fuente.origenORCID
dc.identifier.doi10.1016/j.jaac.2022.05.011
dc.identifier.eissn1527-75418
dc.identifier.issn0890-8567
dc.identifier.pubmedid35710081
dc.identifier.scopusidSCOPUS_ID:85135393476
dc.identifier.urihttps://doi.org/10.1016/j.jaac.2022.05.011
dc.identifier.urihttps://repositorio.uc.cl/handle/11534/86705
dc.information.autorucEscuela de Medicina; Crossley, Nicolás; 0000-0002-3060-656X; 11224
dc.issue.numero1
dc.language.isoen
dc.pagina.final83
dc.pagina.inicio74
dc.revistaJournal of the American Academy of Child and Adolescent Psychiatry
dc.rightsacceso restringido
dc.subjectChildren
dc.subjectClusters
dc.subjectMRI
dc.subjectPsychosis risk
dc.subject.ddc610
dc.subject.deweyMedicina y saludes_ES
dc.titleGenetic and Structural Brain Correlates of Cognitive Subtypes Across Youth at Family Risk for Schizophrenia and Bipolar Disorder
dc.typeartículo
dc.volumen62
sipa.codpersvinculados11224
sipa.trazabilidadORCID;2024-06-03
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