CANCELED: Measuring Organism Variables in our Stimulus-Organism-Response-Consequence Model: Phenotypic Expression of Genetic Disorders and Neuroimaging Data
|Sunday, May 25, 2014
|4:00 PM–4:50 PM
|W183a (McCormick Place Convention Center)
|Area: DDA; Domain: Applied Research
|CE Instructor: Anjali Barretto, Ph.D.
|Chair: Anjali Barretto (Gonzaga University)
|DAVID M. RICHMAN (Texas Tech University)
|Dr. David Richman is a professor of educational psychology and leadership at Texas Tech University. He received his Ph.D. in school psychology and minor in applied behavior analysis from the University of Iowa, and he completed a research postdoctoral fellowship at the Johns Hopkins University School of Medicine and the Kennedy Krieger Institute. Dr. Richman has previously been on faculty at the University of Kansas School of Medicine, University of Maryland Baltimore County, and the University of Illinois. Dr. Richman's areas of research include assessment and treatment of problem behavior; phenotypic expression of genetic disorders correlated with intellectual disabilities and severe behavior problems; family resiliency, parenting stress, familial quality of life; and cortical reorganization post-behavior therapy.
Many behavior analysts have shown keen interest in how an animal’s genetic endowment interacts with environmental variables to evoke and elicit responses and how these responses and associated consequences affect future responses and produce changes in organism variables. Throughout the years, great progress has been made in understanding biobehavioral interactions. However, our progress in understanding these complex interactions could be accelerated if more behavior analysts participated in transdisciplinary research teams that function as “think tanks” to develop studies that answer questions that could not be addressed by single-discipline research. The focus of this talk will be on (1) the potential benefits of incorporating indirect measures of behavior to document patterns of behavior within specific genetic disorders prior to costly large-scale direct observation studies, and (2) how technological advances such a functional magnetic resonance imaging (fMRI) can expand our range of dependent variables to facilitate our understanding of how organism variables interact with environmental variables. Specifically, this talk will describe Dr. Richmond’s research on phenotypic expression of Cornelia de Lange Syndrome and Autism Spectrum Disorder that has incorporated parental report or fMRI dependent variables.