Publications by authors named "J L Roffman"

Article Synopsis
  • Impulsivity develops from childhood to adulthood and is influenced by brain maturation, but there's limited research on its relationships with brain structure and genetics in children.
  • A study involving 9112 children found weak associations between impulsivity measures and smaller cortical area in certain brain regions, but no link between impulsivity and cortical volume or thickness.
  • Higher genetic risk for externalizing behaviors correlated with increased impulsivity and smaller brain structures, highlighting the complex relationship between genetics and brain structure in affecting impulsivity. Future research is needed to explore these links through adolescence and their implications for behaviors like substance use.
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Background And Hypothesis: Psychosis-associated diagnostic codes are increasingly being utilized as case definitions for electronic health record (EHR)-based algorithms to predict and detect psychosis. However, data on the validity of psychosis-related diagnostic codes is limited. We evaluated the positive predictive value (PPV) of International Classification of Diseases (ICD) codes for psychosis.

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Background: Although pandemic-related experiences have been linked to the psychological well-being of mothers, the effects of the COVID-19 pandemic on infant neurodevelopmental outcomes have not been sufficiently studied.

Aims: To assess whether maternal COVID-19-related experiences (i.e.

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Enlarged lateral ventricle (LV) volume and decreased volume in the corpus callosum (CC) are hallmarks of schizophrenia (SZ). We previously showed an inverse correlation between LV and CC volumes in SZ, with global functioning decreasing with increased LV volume. This study investigates the relationship between LV volume, CC abnormalities, and the microRNA MIR137 and its regulated genes in SZ, because of MIR137's essential role in neurodevelopment.

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Background And Hypothesis: Early detection of psychosis is critical for improving outcomes. Algorithms to predict or detect psychosis using electronic health record (EHR) data depend on the validity of the case definitions used, typically based on diagnostic codes. Data on the validity of psychosis-related diagnostic codes is limited.

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