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2015 Abstracts

Automated Kinematic Analysis of Prepulse Inhibition Behavior in Larval Zebrafish

Scott Anjewierden, James Newton and Joshua Barrios, University of Utah

Engineering

Organisms in their natural environment are constantly presented with sensory stimuli. These stimuli must be filtered by the brain to select an appropriate behavioral response. A significant example of this filtering process is audiomotor prepulse inhibition (PPI). In PPI, the startle response to a loud noise is suppressed by a preceding stimulus of lower intensity. This ability to optimize behavior in response to environmental context is an essential brain function. Defects in PPI are associated with neurological disorders such as obsessive- compulsive disorder, Tourette syndrome, and schizophrenia. This project demonstrates the development of new software to analyze swim kinematics in a restrained, larval zebrafish model of PPI. Our programs automatically extract several kinematic parameters from image sequences of behaving animals and use them to classify behavior into one of three, stereotyped categories. Correct classification is reported in 96.32% of trials (n = 162). This automated analysis will now permit a more robust study of PPI in these animals, where the brain’s experimental accessibility will allow us to discover the cellular bases of sensory filtering.