Is anoxic depolarisation associated with an ADC threshold? A Markov chain Monte Carlo analysis

NMR Biomed. 2005 Dec;18(8):587-94. doi: 10.1002/nbm.996.

Abstract

A Bayesian nonlinear hierarchical random coefficients model was used in a reanalysis of a previously published longitudinal study of the extracellular direct current (DC)-potential and apparent diffusion coefficient (ADC) responses to focal ischaemia. The main purpose was to examine the data for evidence of an ADC threshold for anoxic depolarisation. A Markov chain Monte Carlo simulation approach was adopted. The Metropolis algorithm was used to generate three parallel Markov chains and thus obtain a sampled posterior probability distribution for each of the DC-potential and ADC model parameters, together with a number of derived parameters. The latter were used in a subsequent threshold analysis. The analysis provided no evidence indicating a consistent and reproducible ADC threshold for anoxic depolarisation.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Algorithms
  • Animals
  • Diffusion
  • Hypoxia-Ischemia, Brain / metabolism*
  • Markov Chains*
  • Monte Carlo Method
  • Rats