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Age Trajectories of the Structural Connectome in Child and Adolescent Offspring of Individuals With Bipolar Disorder or Schizophrenia.
Poortman, Simon R; Barendse, Marjolein E A; Setiaman, Nikita; van den Heuvel, Martijn P; de Lange, Siemon C; Hillegers, Manon H J; van Haren, Neeltje E M.
Afiliação
  • Poortman SR; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands.
  • Barendse MEA; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands.
  • Setiaman N; Department of Child and Adolescent Psychiatry/Psychology, Erasmus University Medical Center, Sophia Children's Hospital, Rotterdam, the Netherlands.
  • van den Heuvel MP; Department of Psychiatry, University Medical Center Utrecht Brain Center, Utrecht, the Netherlands.
  • de Lange SC; Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
  • Hillegers MHJ; Department of Child Psychiatry, Amsterdam University Medical Center, Amsterdam Neuroscience, Amsterdam, the Netherlands.
  • van Haren NEM; Department of Complex Trait Genetics, Center for Neurogenomics and Cognitive Research, Vrije Universiteit Amsterdam, Amsterdam, the Netherlands.
Biol Psychiatry Glob Open Sci ; 4(5): 100336, 2024 Sep.
Article em En | MEDLINE | ID: mdl-39040431
ABSTRACT

Background:

Offspring of parents with severe mental illness (e.g., bipolar disorder or schizophrenia) are at elevated risk of developing psychiatric illness owing to both genetic predisposition and increased burden of environmental stress. Emerging evidence indicates a disruption of brain network connectivity in young offspring of patients with bipolar disorder and schizophrenia, but the age trajectories of these brain networks in this high-familial-risk population remain to be elucidated.

Methods:

A total of 271 T1-weighted and diffusion-weighted scans were obtained from 174 offspring of at least 1 parent diagnosed with bipolar disorder (n = 74) or schizophrenia (n = 51) and offspring of parents without severe mental illness (n = 49). The age range was 8 to 23 years; 97 offspring underwent 2 scans. Anatomical brain networks were reconstructed into structural connectivity matrices. Network analysis was performed to investigate anatomical brain connectivity.

Results:

Offspring of parents with schizophrenia had differential trajectories of connectivity strength and clustering compared with offspring of parents with bipolar disorder and parents without severe mental illness, of global efficiency compared with offspring of parents without severe mental illness, and of local connectivity compared with offspring of parents with bipolar disorder.

Conclusions:

The findings of this study suggest that familial high risk of schizophrenia is related to deviations in age trajectories of global structural connectome properties and local connectivity strength.
In this article, we show that child and adolescent offspring of parents with schizophrenia had different patterns in the development of their brain's structural connections compared with offspring of parents with bipolar disorder and offspring of parents without these conditions. The findings of this long-term study indicate that having a family history of schizophrenia is associated with changes over time during adolescence in the overall organization of the brain's structural network.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biol Psychiatry Glob Open Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Biol Psychiatry Glob Open Sci Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Holanda