Neuroscience Insights: Advances in Brain Studies
Research Article Volume: 1 & Issue:1
Abstract
This manuscript reviews the differential effects of anesthesia on brain networks in neurological disorders and their implications for brain-computer interface (BCI) procedures. Drawing on empirical literature, it highlights disorder-specific anesthetic considerations for conditions such as Parkinson’s disease, epilepsy, and amyotrophic lateral sclerosis (ALS). A simulated logistic regression model, based on synthetic data approximating real-world clinical scenarios (n=1,000), examines factors influencing BCI implantation success (defined as no major complications and signal quality ≥85%). Key findings include significant main effects of age, vascular proximity, electrode density, and disorder severity on success probability, with non-significant effects for anesthesia type. Implications for tailored anesthetic strategies are discussed, alongside limitations of the simulation approach. Future research should validate these insights with real clinical data.