Machine learning and confirmatory factor analysis show that buprenorphine alters motor and anxiety-like behaviors in male, female, and obese C57BL/6J mice

作     者：Sharma, Ohm Mykins, Michael Bergee, Rebecca E. Price, Joshua M. O’Neil, Michael A. Mickels, Nicole Von Hagen, Megan O’Connor, James Baghdoyan, Helen A. Lydic, Ralph 

作者机构：Neuroscience Program in Psychology The University of Tennessee Knoxville TN United States Department of Biochemistry & Cellular and Molecular Biology The University of Tennessee Knoxville TN United States Office of Innovative Technologies The University of Tennessee Knoxville TN United States Department of Microbiology The University of Tennessee Knoxville TN United States Department of Biomedical Engineering The University of Tennessee Knoxville TN United States 

出 版 物：《Journal of Neurophysiology》 (J. Neurophysiol.)

年 卷 期：2025年第133卷第2期

页      面：502-512页

学科分类：0710[理学-生物学] 1002[医学-临床医学] 1001[医学-基础医学(可授医学、理学学位)] 07[理学] 071003[理学-生理学] 

基　　金：University of Tennessee, UT Utah State Psychology Department 

主　　题：animal emotions artificial intelligence convolutional neural network deep learning opioids 

摘      要：Buprenorphine is an opioid approved for medication-assisted treatment of opioid use disorder. Used off-label, buprenorphine has been reported to contribute to the clinical management of anxiety. Although human anxiety is a highly prevalent disorder, anxiety is a latent construct that cannot be directly measured. The present study combined machine learning techniques and artificial intelligence with confirmatory factor analysis to evaluate the hypothesis that buprenorphine alters motor and anxiety-like behavior in C57BL/6J (B6) mice (n = 30) as a function of dose, sex, and body mass. After administration of saline (control) or buprenorphine, mice were placed on an elevated zero maze (EZM) for 5 min. Digital video of mouse behavior was uploaded to the cloud, and mouse position on the maze was tracked and analyzed with supervised machine learning and artificial intelligence. ANOVA and post hoc test showed that buprenorphine significantly altered five motor behaviors. Confirmatory factor analysis revealed that the latent construct of anxiety-like behavior accounted for a statistically significant amount of variance in all five motor behaviors. Copyright © 2025 the American Physiological Society.