Magnotta Bipolar Disorder
SNP-Associated Differential Methylation in <em>ARHGEF38:</em> Insights into Genetic-Epigenetic Interactions
Monday, March 17, 2025
CONCLUSIONS: In this relatively small sample size study, differential methylation in ARHGEF38 was not associated with history of suicide attempt, failing to replicate findings from a related outcome, suicide death. However, we did provide evidence of SNP and DNA methylation interplay in this region. This highlights the potential relevance of considering genetics when interrogating epigenetic mechanisms.
Characteristics of people with bipolar disorder I with and without auditory verbal hallucinations
Friday, February 14, 2025
CONCLUSION: Our findings suggest that people with BD-I with AVHs exhibit more severe psychotic features and manic symptoms compared to those without. This might be associated with more socioeconomic hardship. More in-depth characterization of people with BD-I with/without AVHs is needed to fully understand this subgroup's unique challenges and needs.
Immune dysregulation in bipolar disorder
Thursday, January 16, 2025
BACKGROUND: Bipolar disorder is a debilitating mood disorder associated with a high risk of suicide and characterized by immune dysregulation. In this study, we used a multi-faceted approach to better distinguish the pattern of dysregulation of immune profiles in individuals with BD.
Associations between NIH Toolbox Emotion Battery measures and previous suicide attempt in bipolar I disorder
Friday, December 13, 2024
Suicide attempts are more prevalent in people with bipolar I disorder (BD-I) than in the general population. Most prior studies of suicide in BD-I have focused on separate emotion-related assays or clinician-administered scales, whereas a single, brief, and multidimensional battery of self-report measures has not yet been explored. Here, we utilized the NIH Toolbox Emotion Battery (NIHTB-EB) to assess various emotional measures, determine which were cross-sectionally associated with prior...
Machine learning with multiple modalities of brain magnetic resonance imaging data to identify the presence of bipolar disorder
Sunday, September 15, 2024
CONCLUSION: BD I could be identified with high accuracy in our relatively small sample by combining structural, functional, and diffusion-weighted imaging data within a single site but not generalize well to an independent replication sample. Future studies using harmonized imaging protocols may facilitate generalization of ML models.
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