A High-Dimensional Quantification of Mouse Defensive Behaviors Reveals Enhanced Diversity and Stimulus Specificity.
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| Titel: | A High-Dimensional Quantification of Mouse Defensive Behaviors Reveals Enhanced Diversity and Stimulus Specificity. |
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| Autoren: | Storchi R; Division of Neuroscience and Experimental Psychology, School of Biological Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. Electronic address: riccardo.storchi@manchester.ac.uk., Milosavljevic N; Division of Neuroscience and Experimental Psychology, School of Biological Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Allen AE; Division of Neuroscience and Experimental Psychology, School of Biological Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Zippo AG; Institute of Neuroscience, Consiglio Nazionale delle Ricerche, Milan, Italy., Agnihotri A; Division of Neuroscience and Experimental Psychology, School of Biological Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Cootes TF; Division of Informatics, Imaging & Data Science, School of Health Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK., Lucas RJ; Division of Neuroscience and Experimental Psychology, School of Biological Science, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. |
| Quelle: | Current biology : CB [Curr Biol] 2020 Dec 07; Vol. 30 (23), pp. 4619-4630.e5. Date of Electronic Publication: 2020 Oct 01. |
| Publikationsart: | Journal Article; Research Support, Non-U.S. Gov't |
| Sprache: | English |
| Info zur Zeitschrift: | Publisher: Cell Press Country of Publication: England NLM ID: 9107782 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0445 (Electronic) Linking ISSN: 09609822 NLM ISO Abbreviation: Curr Biol Subsets: MEDLINE |
| Imprint Name(s): | Publication: Cambridge, MA : Cell Press Original Publication: London, UK : Current Biology Ltd., c1991- |
| MeSH-Schlagworte: | Models, Biological*, Behavior, Animal/*physiology , Locomotion/*physiology , Posture/*physiology, Animals ; Behavior Observation Techniques/methods ; Cluster Analysis ; Imaging, Three-Dimensional ; Instinct ; Male ; Markov Chains ; Mice ; Mice, Inbred C57BL ; Models, Animal |
| Abstract: | Instinctive defensive behaviors, consisting of stereotyped sequences of movements and postures, are an essential component of the mouse behavioral repertoire. Since defensive behaviors can be reliably triggered by threatening sensory stimuli, the selection of the most appropriate action depends on the stimulus property. However, since the mouse has a wide repertoire of motor actions, it is not clear which set of movements and postures represent the relevant action. So far, this has been empirically identified as a change in locomotion state. However, the extent to which locomotion alone captures the diversity of defensive behaviors and their sensory specificity is unknown. To tackle this problem, we developed a method to obtain a faithful 3D reconstruction of the mouse body that enabled to quantify a wide variety of motor actions. This higher dimensional description revealed that defensive behaviors are more stimulus specific than indicated by locomotion data. Thus, responses to distinct stimuli that were equivalent in terms of locomotion (e.g., freezing induced by looming and sound) could be discriminated along other dimensions. The enhanced stimulus specificity was explained by a surprising diversity. A clustering analysis revealed that distinct combinations of movements and postures, giving rise to at least 7 different behaviors, were required to account for stimulus specificity. Moreover, each stimulus evoked more than one behavior, revealing a robust one-to-many mapping between sensations and behaviors that was not apparent from locomotion data. Our results indicate that diversity and sensory specificity of mouse defensive behaviors unfold in a higher dimensional space, spanning multiple motor actions. (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.) |
| Competing Interests: | Declaration of Interests The authors declare no competing interests. |
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| Grant Information: | MR/N012992/1 United Kingdom MRC_ Medical Research Council; NC/P001505/1 United Kingdom NC3RS_ National Centre for the Replacement, Refinement and Reduction of Animals in Research |
| Contributed Indexing: | Keywords: 3D reconstruction; behavioral clustering; computational ethology; defensive behaviors; freezing; information theory; looming; statistical shape models; stimulus decoding; variable-order Markov chains |
| Entry Date(s): | Date Created: 20201002 Date Completed: 20210823 Latest Revision: 20250530 |
| Update Code: | 20250530 |
| PubMed Central ID: | PMC7728163 |
| DOI: | 10.1016/j.cub.2020.09.007 |
| PMID: | 33007242 |
| Datenbank: | MEDLINE |
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Nájsť tento článok vo Web of Science | Abstract: | Instinctive defensive behaviors, consisting of stereotyped sequences of movements and postures, are an essential component of the mouse behavioral repertoire. Since defensive behaviors can be reliably triggered by threatening sensory stimuli, the selection of the most appropriate action depends on the stimulus property. However, since the mouse has a wide repertoire of motor actions, it is not clear which set of movements and postures represent the relevant action. So far, this has been empirically identified as a change in locomotion state. However, the extent to which locomotion alone captures the diversity of defensive behaviors and their sensory specificity is unknown. To tackle this problem, we developed a method to obtain a faithful 3D reconstruction of the mouse body that enabled to quantify a wide variety of motor actions. This higher dimensional description revealed that defensive behaviors are more stimulus specific than indicated by locomotion data. Thus, responses to distinct stimuli that were equivalent in terms of locomotion (e.g., freezing induced by looming and sound) could be discriminated along other dimensions. The enhanced stimulus specificity was explained by a surprising diversity. A clustering analysis revealed that distinct combinations of movements and postures, giving rise to at least 7 different behaviors, were required to account for stimulus specificity. Moreover, each stimulus evoked more than one behavior, revealing a robust one-to-many mapping between sensations and behaviors that was not apparent from locomotion data. Our results indicate that diversity and sensory specificity of mouse defensive behaviors unfold in a higher dimensional space, spanning multiple motor actions.<br /> (Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.) |
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| ISSN: | 1879-0445 |
| DOI: | 10.1016/j.cub.2020.09.007 |