Computational modelling for risk assessment of neurological disorder in diabetes using Hodgkin-Huxley model.

Journal: Computer methods and programs in biomedicine
Published Date:

Abstract

BACKGROUND: Diabetes mellitus, characterized by chronic glucose dysregulation, significantly increases the risk of neurological disorders such as cognitive decline, seizures, and Alzheimer's disease. As neurons depend on glucose for energy, fluctuations in glucose levels can disrupt sodium (Na⁺) and potassium (K⁺) ion channel dynamics, leading to altered membrane potential. Modeling these ionic changes enables the simulation of neuronal responses under glycemic extremes, providing valuable insights for risk assessment and personalized treatment.

Authors

  • Divya Govindaraju
    Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai 44, Tamil Nadu, India. Electronic address: gdivyaice@gmail.com.
  • Sutha Subbian
    Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai 44, Tamil Nadu, India.
  • S Nambi Narayanan
    Department of Instrumentation Engineering, MIT Campus, Anna University, Chennai 44, Tamil Nadu, India.