A5069418406- Functional Brain Connectivity Studies
- EEG and Brain-Computer Interfaces
- Neural dynamics and brain function
- Renal Diseases and Glomerulopathies
- Acute Kidney Injury Research
- Chronic Kidney Disease and Diabetes
- Advanced Causal Inference Techniques
Novartis (United States)
2024-2025
Tris Pharma (United States)
2024
Electroencephalogram (EEG) provides noninvasive measures of brain activity and is found to be valuable for the diagnosis some chronic disorders. Specifically, pre‐treatment EEG signals in alpha theta frequency bands have demonstrated association with antidepressant response, which well‐known a low response rate. We aim design an integrated pipeline that improves rate patients major depressive disorder by developing treatment policy guided resting state recordings other effects modifiers....
A 73-year-old nephrotic female developed acute renal failure (ARF) with serum creatinine to 586 umol/l after 4 days of therapy hydroxyethyl starch (HES). Renal biopsy demonstrated that the histopathological appearance was mesangioproliferative glomerulonephritis tubulointerstitial changes resembling nephritis. "Pulse" methylprednisolone, hemodialyses and other symptomatic treatment were performed in patient during oliguric phase disease. There no worsening her function, subsequently it...
ABSTRACT Mental disorders present challenges in diagnosis and treatment due to their complex heterogeneous nature. Electroencephalogram (EEG) has shown promise as a source of potential biomarkers for these disorders. However, existing methods analyzing EEG signals have limitations addressing heterogeneity capturing brain activity patterns between regions. This paper proposes novel random effects state-space model (RESSM) large-scale multi-channel resting-state signals, accounting the...