Publications by authors named "B S Ham"
Article Synopsis
- The study aimed to use graph machine learning to discover hidden networks and predict mental health issues in middle-aged and older adults.
- Data was analyzed from 2,000 participants in the Korean Longitudinal Study of Ageing, focusing on mental health conditions and various predictors.
- The findings highlighted that life satisfaction was a key factor in determining mental health, suggesting that improving life satisfaction may help reduce the risk of mental diseases.
Article Synopsis
- - The study investigates the connection between inflammation and brain function in major depressive disorder (MDD), noting that patients with MDD have higher levels of proinflammatory cytokines like IL-6 and IL-8 compared to healthy controls.
- - Researchers analyzed resting-state functional connectivity (RSFC) in 76 MDD patients and 92 healthy individuals, finding significant changes in brain regions related to emotion and cognitive control networks.
- - The results indicate that higher levels of the inflammatory marker TNF-α are positively linked to changes in RSFC in specific brain areas in MDD patients, pointing to a potential role of inflammation in disrupting brain functions related to mood and cognition.
Article Synopsis
- Proactively predicting antidepressant treatment responses is essential to minimizing treatment failures and creating more personalized therapies for better effectiveness.
- This study utilized deep learning and spectroscopic analysis of extracellular vesicles (EVs) from plasma to distinguish between individuals with depression and those without, achieving high accuracy rates (0.95 AUC).
- The AI algorithm also effectively predicted which depression patients would likely respond to antidepressant treatment, with a classification accuracy of 0.91 AUC, paving the way for personalized medicine in mental health care.
Is There such a Thing as Post-Viral Depression?: Implications for Precision Medicine.
Biomol Ther (Seoul)
November 2024
Article Synopsis
- Viral infections, especially after the COVID-19 pandemic, are linked to depressive disorders, with specific viruses like HSV, EBV, CMV, and HIV involved through complex mechanisms.
- These mechanisms include immune system dysregulation, chronic inflammation, and neurotransmitter imbalances that affect brain function and mood.
- The review highlights the importance of developing virus-specific treatments, such as immunomodulatory and antiviral therapies, to better address the unique neurobiological effects of different viruses on depression.