Dynamical entropy measures to diagnose deficits in mouse spatial exploration behaviour

FERNANDO MONTANI; M. A. GO; G. P. GAVA; D. DUPRET ; S. R. SCHULTZ

Conferencia; Entropy 2018: From Physics to Information Sciences and Geometry; 2018

Deficits in spatial memory and spatial exploration behaviour are symptomatic of Alzheimer's Disease, and are observed in manymouse models of the disorder. Altered spatial dynamics are apparent to eye in 2D tracking data while mice perform open fieldor corridor-based tasks. In order to automate aspects of the search for therapeutic approaches for neurodegenerative diseases,it would be useful to quantify these changes in spatial behaviour. Such a measure would additionally assist in the developmentof new spatial behaviour paradigms, such as head-fixed behaviour in virtual reality or flat, real-world environments, by allowingquantitative reference to free behaviour. We propose the use of the Shannon permutation entropy versus statistical complexity(H x C) plane for this purpose. We apply this approach to data recorded from freely moving mice exploring an open field, and tohead-fixed mice navigating on a flat, air-suspended platform. We analyse data from wild type mice as well as from APP23 and5xFAD mouse models of amyloidopathy, concluding that the approach is sufficiently sensitive to be useful in the analysis of theirbehavioural phenotypes.Submission ID: sciforum-017293Entropy 2018: From Physics to Information Sciences and Geometry