Changes in patterns of age-related network connectivity are associated with risk for schizophrenia

Author:

Passiatore Roberta123ORCID,Antonucci Linda A.1,DeRamus Thomas P.2,Fazio Leonardo4ORCID,Stolfa Giuseppe1,Sportelli Leonardo15,Kikidis Gianluca C.15ORCID,Blasi Giuseppe16ORCID,Chen Qiang5ORCID,Dukart Juergen37,Goldman Aaron L.5,Mattay Venkata S.58,Popolizio Teresa9,Rampino Antonio16ORCID,Sambataro Fabio10,Selvaggi Pierluigi16,Ulrich William5,Weinberger Daniel R.58111213ORCID,Bertolino Alessandro16,Calhoun Vince D.2ORCID,Pergola Giulio1511ORCID,

Affiliation:

1. Department of Translational Biomedicine and Neuroscience, University of Bari Aldo Moro, 70124 Bari, Italy

2. Tri-institutional Center for Translational Research in Neuroimaging and Data Science, Georgia State University, Georgia Institute of Technology, and Emory University, 30303 Atlanta, GA

3. Institute of Neuroscience and Medicine, Brain and Behavior, Research Centre Jülich, 52428 Jülich, Germany

4. Department of Medicine and Surgery, Libera Università Mediterranea Giuseppe Degennaro, 70010 Casamassima, Italy

5. Lieber Institute for Brain Development, Johns Hopkins Medical Campus, 21205 Baltimore, MD

6. Psychiatric Unit, University Hospital, 70124 Bari, Italy

7. Institute of Systems Neuroscience, Medical Faculty, Heinrich Heine University Düsseldorf, 40225 Düsseldorf, Germany

8. Department of Neurology and Radiology, Johns Hopkins Medical Campus, 21287 Baltimore, MD

9. Neuroradiology Unit, Scientific Institute for Research, Hospitalization and Health Care, Casa Sollievo della Sofferenza, 71013 San Giovanni Rotondo, Foggia, Italy

10. Section of Psychiatry, Department of Neuroscience, University of Padova, 35121 Padua, Italy

11. Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, 21205 Baltimore, MD

12. Department of Neuroscience, Johns Hopkins University School of Medicine, 21287 Baltimore, MD

13. Department of Genetic Medicine, Johns Hopkins University School of Medicine, 21287 Baltimore, MD

Abstract

Alterations in fMRI-based brain functional network connectivity (FNC) are associated with schizophrenia (SCZ) and the genetic risk or subthreshold clinical symptoms preceding the onset of SCZ, which often occurs in early adulthood. Thus, age-sensitive FNC changes may be relevant to SCZ risk-related FNC. We used independent component analysis to estimate FNC from childhood to adulthood in 9,236 individuals. To capture individual brain features more accurately than single-session fMRI, we studied an average of three fMRI scans per individual. To identify potential familial risk–related FNC changes, we compared age-related FNC in first-degree relatives of SCZ patients mostly including unaffected siblings (SIB) with neurotypical controls (NC) at the same age stage. Then, we examined how polygenic risk scores for SCZ influenced risk-related FNC patterns. Finally, we investigated the same risk-related FNC patterns in adult SCZ patients (oSCZ) and young individuals with subclinical psychotic symptoms (PSY). Age-sensitive risk-related FNC patterns emerge during adolescence and early adulthood, but not before. Young SIB always followed older NC patterns, with decreased FNC in a cerebellar–occipitoparietal circuit and increased FNC in two prefrontal–sensorimotor circuits when compared to young NC. Two of these FNC alterations were also found in oSCZ, with one exhibiting reversed pattern. All were linked to polygenic risk for SCZ in unrelated individuals (R 2 varied from 0.02 to 0.05). Young PSY showed FNC alterations in the same direction as SIB when compared to NC. These results suggest that age-related neurotypical FNC correlates with genetic risk for SCZ and is detectable with MRI in young participants.

Publisher

Proceedings of the National Academy of Sciences

Subject

Multidisciplinary

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