title: Bayesian analysis of trinomial data in behavioral experiments and its application to human studies of general anesthesia.
abstract: Accurate quantification of loss of response to external stimuli is essential for understanding the mechanisms of loss of consciousness under general anesthesia. We present a new approach for quantifying three possible outcomes that are encountered in behavioral experiments during general anesthesia: correct responses, incorrect responses and no response. We use a state-space model with two state variables representing a probability of response and a conditional probability of correct response. We show applications of this approach to an example of responses to auditory stimuli at varying levels of propofol anesthesia ranging from light sedation to deep anesthesia in human subjects. The posterior probability densities of model parameters and the response probability are computed within a Bayesian framework using Markov Chain Monte Carlo methods.
authors.affiliation: Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital, Boston, MA, USA. kfwong@partners.org
authors.forename: Kin Foon Kevin
authors.initials: KF
authors.lastname: Wong
authors.forename: Anne C
authors.initials: AC
authors.lastname: Smith
authors.forename: Eric T
authors.initials: ET
authors.lastname: Pierce
authors.forename: P Grace
authors.initials: PG
authors.lastname: Harrell
authors.forename: John L
authors.initials: JL
authors.lastname: Walsh
authors.forename: Andrés Felipe
authors.initials: AF
authors.lastname: Salazar
authors.forename: Casie L
authors.initials: CL
authors.lastname: Tavares
authors.forename: Aylin
authors.initials: A
authors.lastname: Cimenser
authors.forename: Michael J
authors.initials: MJ
authors.lastname: Prerau
authors.forename: Eran A
authors.initials: EA
authors.lastname: Mukamel
authors.forename: Aaron
authors.initials: A
authors.lastname: Sampson
authors.forename: Patrick L
authors.initials: PL
authors.lastname: Purdon
authors.forename: Emery N
authors.initials: EN
authors.lastname: Brown
mesh_terms: D000768:Anesthesia, General; D001499:Bayes Theorem; D001519:Behavior; D006801:Humans; D012016:Reference Values