3 articles published in JoVE
The Knob Supination Task: A Semi-automated Method for Assessing Forelimb Function in Rats Samuel D. Butensky1, Thelma Bethea1, Joshua Santos1, Anil Sindhurakar1, Eric Meyers2,3, Andrew M. Sloan2,3, Robert L. Rennaker II2,3, Jason B. Carmel1,4,5 1Burke Medical Research Institute, 2Texas Biomedical Center, The University of Texas at Dallas, 3Erik Jonsson School of Engineering and Computer Science, The University of Texas at Dallas, 4Brain and Mind Research Institute, Weill Cornell Medical College, 5Departments of Neurology and Pediatrics, Weill Cornell Medical College This manuscript describes a semi-automated task that quantifies supination in rats. Rats reach, grasp, and supinate a spherical manipulandum. The rat is rewarded with a pellet if the turn angle exceeds a criterion set by the user. This task increases throughput, sensitivity to injury, and objectivity compared to traditional tasks.
A Novel Bayesian Change-point Algorithm for Genome-wide Analysis of Diverse ChIPseq Data Types Haipeng Xing1, Willey Liao1,2, Yifan Mo1,2, Michael Q. Zhang2,3 1Department of Applied Mathematics & Statistics, Stony Brook University, 2Computational Biology and Bioinformatics, Cold Spring Harbor Laboratory, 3Department of Molecular and Cell Biology, University of Texas at Dallas Our Bayesian Change Point (BCP) algorithm builds on state-of-the-art advances in modeling change-points via Hidden Markov Models and applies them to chromatin immunoprecipitation sequencing (ChIPseq) data analysis. BCP performs well in both broad and punctate data types, but excels in accurately identifying robust, reproducible islands of diffuse histone enrichment.
Eye Tracking Young Children with Autism Noah J. Sasson1, Jed T. Elison2 1School of Behavioral and Brain Sciences, University of Texas at Dallas, 2Carolina Institute for Developmental Disabilities, School of Medicine, University of North Carolina at Chapel Hill Eye tracking has long been used to study gaze patterns in typically-developing individuals, but recent technological advancements have made its use with clinical populations, including autism, more feasible. While eye-tracking young children with autism can offer insight into early symptom manifestations, it involves methodological challenges. Suggestions for best practices are provided.