Interactions Between Anesthesia Regimens and Neurological Disorders in Brain-Computer Interface Procedures: Insights from Literature and A Simulation Study

Kunal Kumar Sharma*, Bharti Chauhan

Received : October 28, 2025 | Published : November 24, 2025

Citation: Sharma KK, Chauhan B. Interactions Between Anesthesia Regimens and Neurological Disorders in Brain-Computer Interface Procedures: Insights from Literature and A Simulation Study. Neurosci Insights Adv Brain Stud. 2025;1(1):1-4. DOI: 10.64978/niabs-0104

License: This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0) , which permits use, sharing, adaptation, distribution, and reproduction in any medium or format, provided appropriate credit is given to the original author(s) and the source, a link to the Creative Commons licence is provided, and any changes made are indicated.

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.

Keywords: Brain-Computer Interfaces; Neurodegenerative Diseases; Deep Brain Stimulation; Logistic Models