Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease
IntroductionComplex gait disturbances represent one of the prominent manifestations of various neurophysiological conditions, including widespread neurodegenerative disorders such as Alzheimer's and Parkinson's diseases. Therefore, instrumental measurement techniques and automatic computer...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-02-01
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| Series: | Frontiers in Neuroinformatics |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fninf.2023.1101112/full |
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| author | Mikhail Bogachev Mikhail Bogachev Aleksandr Sinitca Konstantin Grigarevichius Nikita Pyko Asya Lyanova Margarita Tsygankova Eldar Davletshin Konstantin Petrov Tatyana Ageeva Svetlana Pyko Dmitrii Kaplun Airat Kayumov Yana Mukhamedshina Yana Mukhamedshina |
| author_facet | Mikhail Bogachev Mikhail Bogachev Aleksandr Sinitca Konstantin Grigarevichius Nikita Pyko Asya Lyanova Margarita Tsygankova Eldar Davletshin Konstantin Petrov Tatyana Ageeva Svetlana Pyko Dmitrii Kaplun Airat Kayumov Yana Mukhamedshina Yana Mukhamedshina |
| author_sort | Mikhail Bogachev |
| collection | DOAJ |
| description | IntroductionComplex gait disturbances represent one of the prominent manifestations of various neurophysiological conditions, including widespread neurodegenerative disorders such as Alzheimer's and Parkinson's diseases. Therefore, instrumental measurement techniques and automatic computerized analysis appears essential for the differential diagnostics, as well as for the assessment of treatment effectiveness from experimental animal models to clinical settings.MethodsHere we present a marker-free instrumental approach to the analysis of gait disturbances in animal models. Our approach is based on the analysis of video recordings obtained with a camera placed underneath an open field arena with transparent floor using the DeeperCut algorithm capable of online tracking of individual animal body parts, such as the snout, the paws and the tail. The extracted trajectories of animal body parts are next analyzed using an original computerized methodology that relies upon a generalized scalable model based on fractional Brownian motion with parameters identified by detrended partial cross-correlation analysis.ResultsWe have shown that in a mouse model representative movement patterns are characterized by two asymptotic regimes characterized by integrated 1/f noise at small scales and nearly random displacements at large scales separated by a single crossover. More detailed analysis of gait disturbances revealed that the detrended cross-correlations between the movements of the snout, paws and tail relative to the animal body midpoint exhibit statistically significant discrepancies in the Alzheimer's disease mouse model compared to the control group at scales around the location of the crossover.DiscussionWe expect that the proposed approach, due to its universality, robustness and clear physical interpretation, is a promising direction for the design of applied analysis tools for the diagnostics of various gait disturbances and behavioral aspects in animal models. We further believe that the suggested mathematical models could be relevant as a complementary tool in clinical diagnostics of various neurophysiological conditions associated with movement disorders. |
| first_indexed | 2024-04-10T18:21:19Z |
| format | Article |
| id | doaj.art-79b71481960f4995a14c13c38cb01e24 |
| institution | Directory Open Access Journal |
| issn | 1662-5196 |
| language | English |
| last_indexed | 2024-04-10T18:21:19Z |
| publishDate | 2023-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Neuroinformatics |
| spelling | doaj.art-79b71481960f4995a14c13c38cb01e242023-02-02T07:09:45ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962023-02-011710.3389/fninf.2023.11011121101112Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's diseaseMikhail Bogachev0Mikhail Bogachev1Aleksandr Sinitca2Konstantin Grigarevichius3Nikita Pyko4Asya Lyanova5Margarita Tsygankova6Eldar Davletshin7Konstantin Petrov8Tatyana Ageeva9Svetlana Pyko10Dmitrii Kaplun11Airat Kayumov12Yana Mukhamedshina13Yana Mukhamedshina14Centre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, RussiaInstitute for Fundamental Medicine and Biology, Kazan Federal University, Kazan, RussiaCentre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, RussiaCentre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, RussiaCentre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, RussiaCentre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, RussiaCentre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, RussiaInstitute for Fundamental Medicine and Biology, Kazan Federal University, Kazan, RussiaFRC Kazan Scientific Center of RAS, Arbuzov Institute of Organic and Physical Chemistry, Kazan, RussiaInstitute for Fundamental Medicine and Biology, Kazan Federal University, Kazan, RussiaCentre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, RussiaCentre for Digital Telecommunication Technologies, St. Petersburg Electrotechnical University “LETI”, St. Petersburg, RussiaInstitute for Fundamental Medicine and Biology, Kazan Federal University, Kazan, RussiaInstitute for Fundamental Medicine and Biology, Kazan Federal University, Kazan, RussiaDepartment of Histology, Cytology and Embryology, Kazan State Medical University, Kazan, RussiaIntroductionComplex gait disturbances represent one of the prominent manifestations of various neurophysiological conditions, including widespread neurodegenerative disorders such as Alzheimer's and Parkinson's diseases. Therefore, instrumental measurement techniques and automatic computerized analysis appears essential for the differential diagnostics, as well as for the assessment of treatment effectiveness from experimental animal models to clinical settings.MethodsHere we present a marker-free instrumental approach to the analysis of gait disturbances in animal models. Our approach is based on the analysis of video recordings obtained with a camera placed underneath an open field arena with transparent floor using the DeeperCut algorithm capable of online tracking of individual animal body parts, such as the snout, the paws and the tail. The extracted trajectories of animal body parts are next analyzed using an original computerized methodology that relies upon a generalized scalable model based on fractional Brownian motion with parameters identified by detrended partial cross-correlation analysis.ResultsWe have shown that in a mouse model representative movement patterns are characterized by two asymptotic regimes characterized by integrated 1/f noise at small scales and nearly random displacements at large scales separated by a single crossover. More detailed analysis of gait disturbances revealed that the detrended cross-correlations between the movements of the snout, paws and tail relative to the animal body midpoint exhibit statistically significant discrepancies in the Alzheimer's disease mouse model compared to the control group at scales around the location of the crossover.DiscussionWe expect that the proposed approach, due to its universality, robustness and clear physical interpretation, is a promising direction for the design of applied analysis tools for the diagnostics of various gait disturbances and behavioral aspects in animal models. We further believe that the suggested mathematical models could be relevant as a complementary tool in clinical diagnostics of various neurophysiological conditions associated with movement disorders.https://www.frontiersin.org/articles/10.3389/fninf.2023.1101112/fullopen field-testanimal behavior analysisdetrended partial cross-correlation analysis (DPCCA)Alzheimer's diseasefluctuation functionsvideo analysis |
| spellingShingle | Mikhail Bogachev Mikhail Bogachev Aleksandr Sinitca Konstantin Grigarevichius Nikita Pyko Asya Lyanova Margarita Tsygankova Eldar Davletshin Konstantin Petrov Tatyana Ageeva Svetlana Pyko Dmitrii Kaplun Airat Kayumov Yana Mukhamedshina Yana Mukhamedshina Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease Frontiers in Neuroinformatics open field-test animal behavior analysis detrended partial cross-correlation analysis (DPCCA) Alzheimer's disease fluctuation functions video analysis |
| title | Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease |
| title_full | Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease |
| title_fullStr | Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease |
| title_full_unstemmed | Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease |
| title_short | Video-based marker-free tracking and multi-scale analysis of mouse locomotor activity and behavioral aspects in an open field arena: A perspective approach to the quantification of complex gait disturbances associated with Alzheimer's disease |
| title_sort | video based marker free tracking and multi scale analysis of mouse locomotor activity and behavioral aspects in an open field arena a perspective approach to the quantification of complex gait disturbances associated with alzheimer s disease |
| topic | open field-test animal behavior analysis detrended partial cross-correlation analysis (DPCCA) Alzheimer's disease fluctuation functions video analysis |
| url | https://www.frontiersin.org/articles/10.3389/fninf.2023.1101112/full |
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