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DOI 10.1016/j.pscychresns.2023.111684

Медицинская библиотека · Psychiatry research. Neuroimaging · 2023

Specificity of associations between parental psychopathology and offspring brain structure.

Mattoni Matthew, Hopman Helene J, Dadematthews Adefunke, Chan Sandra S M, Olino Thomas M

СтатьяПоддержка NIH: внешняя программаПеревод в очереди

Аннотация

Multiple forms of parental psychopathology have been associated with differences in subcortical brain volume. However, few studies have considered the role of comorbidity. Here, we examine if alterations in child subcortical brain structure are specific to parental depression, anxiety, mania, or alcohol/substance use parental psychopathology, common across these disorders, or altered by a history of multiple disorders. We examined 6581 children aged 9 to 10 years old from the ABCD study with no history of mental disorders. We found several significant interactions such that the effects of a parental history of depression, anxiety, and substance use problems on amygdala and striatal volumes were moderated by comorbid parental history of another disorder. Interactions tended to suggest smaller volumes in the presence of a comorbid disorder. However, effect sizes were small, and no associations remained significant after correcting for multiple comparisons. Results suggest that associations between familial risk for psychopathology and offspring brain structure in 9-10-year-olds are modest, and relationships that do exist tend to implicate the amygdala and striatal regions and are moderated by a comorbid parental psychopathology history. Several methodological factors, including controlling for intracranial volume and other forms of parental psychopathology and excluding child psychopathology, likely contribute to inconsistencies in the literature.

Для цитирования: Mattoni Matthew, Hopman Helene J, Dadematthews Adefunke, Chan Sandra S M, Olino Thomas M. Specificity of associations between parental psychopathology and offspring brain structure.. Psychiatry research. Neuroimaging. 2023. DOI: 10.1016/j.pscychresns.2023.111684.

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