Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis

Ivanna K Timotius; Fabio Canneva; Georgia Minakaki; Cristian Pasluosta; Sandra Moceri; Nicolas Casadei; Olaf Riess; Jürgen Winkler; Jochen Klucken; Stephan von Hörsten; Bjoern Eskofier

doi:10.1016/j.dib.2017.12.067

Dynamic footprints of α-synucleinopathic mice recorded by CatWalk gait analysis

Data Brief. 2018 Jan 3:17:189-193. doi: 10.1016/j.dib.2017.12.067. eCollection 2018 Apr.

Authors

Affiliations

¹ Dept. of Computer Science, Faculty of Engineering, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
² Dept. of Electronics Engineering, Satya Wacana Christian University, Salatiga, Indonesia.
³ Dept. Experimental Therapy, University Hospital Erlangen (UKEr) and Preclinical Experimental Animal Center, Friedrich-Alexander-University Erlangen-Nürnberg (FAU), Germany.
⁴ Dept. of Molecular Neurology, University Hospital Erlangen, University of Erlangen-Nürnberg (FAU), Germany.
⁵ Dept. of Microsystems Engineering, University of Freiburg, Germany.
⁶ Institute of Medical Genetics and Applied Genomics, University of Tübingen, Germany.

Abstract

Characterizing gait is important in the study of movement disorders, also in clinical mouse models. Gait data are therefore necessary for the development of gait analysis methods and the study of diseases. This article presents gait data of two α-synucleinopathic transgenic mouse models and their non-transgenic littermate, backcrossed into the C57BL/6N genetic background. The animal gait was recorded using CatWalk system, which provides the information for each run about the paw positions, paw print sizes, and paw intensities as a function of time or video frame. A total of 90 run data files are provided in this article.