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Comparative Morphology of the Whiskers and Faces of Mice (Mus musculus) and Rats (Rattus norvegicus)

Title:Comparative Morphology of the Whiskers and Faces of Mice (Mus musculus) and Rats (Rattus norvegicus)
Publication Type:Journal Article
Year of Publication:2023
Authors: C. S. Bresee, H. Belli, Y. Luo, and M. J. Z. Hartmann
Journal Title:Journal of Experimental Biology
Date Published:October 2023
URL:https://zenodo.org/records/7992354
DOI:10.1242/jeb.245597. PMID: 37577985 PMCID: PMC10617617
Abstract:Understanding neural function requires quantification of the sensory signals that an animal's brain evolved to interpret. These signals in turn depend on the morphology and mechanics of the animal's sensory structures. Although the house mouse (Mus musculus) is one of the most common model species used in neuroscience, the spatial arrangement of its facial sensors has not yet been quantified. To address this gap, the present study quantifies the facial morphology of the mouse, with a particular focus on the geometry of its vibrissae (whiskers). The study develops equations that establish relationships between the three-dimensional (3D) locations of whisker basepoints, whisker geometry (arclength, curvature) and the 3D angles at which the whiskers emerge from the face. Additionally, the positions of facial sensory organs are quantified relative to bregma-lambda. Comparisons with the Norway rat (Rattus norvegicus) indicate that when normalized for head size, the whiskers of these two species have similar spacing density. The rostral–caudal distances between facial landmarks of the rat are a factor of ∼2.0 greater than the mouse, while the scale of bilateral distances is larger and more variable. We interpret these data to suggest that the larger size of rats compared with mice is a derived (apomorphic) trait. As rodents are increasingly important models in behavioral neuroscience, the morphological model developed here will help researchers generate naturalistic, multimodal patterns of stimulation for neurophysiological experiments and allow the generation of synthetic datasets and simulations to close the loop between brain, body and environment.
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