Continuous Whole-Body 3D Kinematic Recordings across the Rodent Behavioral Repertoire.

Journal Article (Journal Article)

In mammalian animal models, high-resolution kinematic tracking is restricted to brief sessions in constrained environments, limiting our ability to probe naturalistic behaviors and their neural underpinnings. To address this, we developed CAPTURE (Continuous Appendicular and Postural Tracking Using Retroreflector Embedding), a behavioral monitoring system that combines motion capture and deep learning to continuously track the 3D kinematics of a rat's head, trunk, and limbs for week-long timescales in freely behaving animals. CAPTURE realizes 10- to 100-fold gains in precision and robustness compared with existing convolutional network approaches to behavioral tracking. We demonstrate CAPTURE's ability to comprehensively profile the kinematics and sequential organization of natural rodent behavior, its variation across individuals, and its perturbation by drugs and disease, including identifying perseverative grooming states in a rat model of fragile X syndrome. CAPTURE significantly expands the range of behaviors and contexts that can be quantitatively investigated, opening the door to a new understanding of natural behavior and its neural basis.

Full Text

Duke Authors

Cited Authors

  • Marshall, JD; Aldarondo, DE; Dunn, TW; Wang, WL; Berman, GJ; Ölveczky, BP

Published Date

  • February 2021

Published In

Volume / Issue

  • 109 / 3

Start / End Page

  • 420 - 437.e8

PubMed ID

  • 33340448

Pubmed Central ID

  • PMC7864892

Electronic International Standard Serial Number (EISSN)

  • 1097-4199

International Standard Serial Number (ISSN)

  • 0896-6273

Digital Object Identifier (DOI)

  • 10.1016/j.neuron.2020.11.016


  • eng