{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,5]],"date-time":"2026-06-05T05:43:37Z","timestamp":1780638217142,"version":"3.54.1"},"reference-count":69,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T00:00:00Z","timestamp":1675296000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100012190","name":"Ministry of Science and Higher Education of the Russian Federation","doi-asserted-by":"publisher","award":["FSEE-2020-0002"],"award-info":[{"award-number":["FSEE-2020-0002"]}],"id":[{"id":"10.13039\/501100012190","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100012190","name":"Ministry of Science and Higher Education of the Russian Federation","doi-asserted-by":"publisher","award":["PRIORITY-2030"],"award-info":[{"award-number":["PRIORITY-2030"]}],"id":[{"id":"10.13039\/501100012190","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neuroinform."],"abstract":"<jats:sec><jats:title>Introduction<\/jats:title><jats:p>Complex 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Here 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>We 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.<\/jats:p><\/jats:sec><jats:sec><jats:title>Discussion<\/jats:title><jats:p>We 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.<\/jats:p><\/jats:sec>","DOI":"10.3389\/fninf.2023.1101112","type":"journal-article","created":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T07:11:01Z","timestamp":1675321861000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":18,"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"],"prefix":"10.3389","volume":"17","author":[{"given":"Mikhail","family":"Bogachev","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aleksandr","family":"Sinitca","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konstantin","family":"Grigarevichius","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Nikita","family":"Pyko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Asya","family":"Lyanova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margarita","family":"Tsygankova","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eldar","family":"Davletshin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Konstantin","family":"Petrov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tatyana","family":"Ageeva","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Svetlana","family":"Pyko","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dmitrii","family":"Kaplun","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Airat","family":"Kayumov","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yana","family":"Mukhamedshina","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1965","published-online":{"date-parts":[[2023,2,2]]},"reference":[{"key":"B1","doi-asserted-by":"publisher","first-page":"18","DOI":"10.1016\/j.neuron.2014.09.005","article-title":"Toward a science of computational ethology","volume":"84","author":"Anderson","year":"2014","journal-title":"Neuron"},{"key":"B2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s42003-021-02544-w","article-title":"Connectivity of eeg synchronization networks increases for parkinson's disease patients with freezing of gait","volume":"4","author":"Asher","year":"2021","journal-title":"Commun. Biol"},{"key":"B3","doi-asserted-by":"publisher","first-page":"657","DOI":"10.1111\/j.1467-842X.2004.00360.x","article-title":"Partial correlation and conditional correlation as measures of conditional independence","volume":"46","author":"Baba","year":"2004","journal-title":"Aust. N. Z. J. Stat"},{"key":"B4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.14490\/jjss.35.1","article-title":"Equivalence of partial and conditional correlation coefficients","volume":"35","author":"Baba","year":"2005","journal-title":"J. Jpn. Stat. Soc"},{"key":"B5","doi-asserted-by":"publisher","first-page":"88","DOI":"10.3414\/ME09-02-0003","article-title":"A wearable system to assist walking of parkinson s disease patients","volume":"49","author":"B\u00e4chlin","year":"2010","journal-title":"Methods Inf. Med"},{"key":"B6","doi-asserted-by":"publisher","first-page":"436","DOI":"10.1109\/TITB.2009.2036165","article-title":"Wearable assistant for parkinson's disease patients with the freezing of gait symptom","volume":"14","author":"Bachlin","year":"2009","journal-title":"IEEE Trans. Inf. Technol. Biomed"},{"key":"B7","doi-asserted-by":"publisher","first-page":"12814","DOI":"10.1016\/j.eswa.2012.05.012","article-title":"Correlation based dynamic time warping of multivariate time series","volume":"39","author":"Bank\u00f3","year":"2012","journal-title":"Expert. Syst. Appl"},{"key":"B8","doi-asserted-by":"publisher","first-page":"10181","DOI":"10.1073\/pnas.1204568109","article-title":"Phase transitions in physiologic coupling","volume":"109","author":"Bartsch","year":"2012","journal-title":"Proc. Natl. Acad. Sci. U.S.A"},{"key":"B9","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/ncomms1705","article-title":"Network physiology reveals relations between network topology and physiological function","volume":"3","author":"Bashan","year":"2012","journal-title":"Nat. Commun"},{"key":"B10","doi-asserted-by":"publisher","first-page":"1525","DOI":"10.1111\/2041-210X.12615","article-title":"Revisiting brownian motion as a description of animal movement: a comparison to experimental movement data","volume":"7","author":"Bearup","year":"2016","journal-title":"Methods Ecol. Evolut"},{"key":"B11","doi-asserted-by":"publisher","first-page":"267","DOI":"10.1016\/S0378-4371(03)00019-0","article-title":"Superstatistics","volume":"322","author":"Beck","year":"2003","journal-title":"Physica A"},{"key":"B12","doi-asserted-by":"publisher","first-page":"056133","DOI":"10.1103\/PhysRevE.72.056133","article-title":"From time series to superstatistics","volume":"72","author":"Beck","year":"2005","journal-title":"Phys. Rev. E"},{"key":"B13","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep22286","article-title":"Statistical prediction of protein structural, localization and functional properties by the analysis of its fragment mass distributions after proteolytic cleavage","volume":"6","author":"Bogachev","year":"2016","journal-title":"Sci. Rep"},{"key":"B14","doi-asserted-by":"publisher","DOI":"10.1088\/1367-2630\/11\/6\/063036","article-title":"Statistics of return intervals between long heartbeat intervals and their usability for online prediction of disorders","author":"Bogachev","year":"2009","journal-title":"New J. Phys"},{"key":"B15","doi-asserted-by":"publisher","first-page":"104409","DOI":"10.1016\/j.bspc.2022.104409","article-title":"Understanding the complex interplay of persistent and antipersistent regimes in animal movement trajectories as a prominent characteristic of their behavioral pattern profiles: towards an automated and robust model based quantification of anxiety test data","volume":"81","author":"Bogachev","year":"2023","journal-title":"Biomed. Signal Process. Control"},{"key":"B16","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep43034","article-title":"Superstatistical model of bacterial dna architecture","volume":"7","author":"Bogachev","year":"2017","journal-title":"Sci. Rep"},{"key":"B17","doi-asserted-by":"publisher","first-page":"1022","DOI":"10.1016\/j.gaitpost.2013.12.026","article-title":"A longitudinal study of gait function and characteristics of gait disturbance in individuals with alzheimer's disease","volume":"39","author":"Cedervall","year":"2014","journal-title":"Gait Posture"},{"key":"B18","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.1109\/ISCAS.2012.6271484","article-title":"\u201cGait analysis for patients with Alzheimer's disease using a triaxial accelerometer,\u201d","volume-title":"2012 IEEE International Symposium on Circuits and Systems (ISCAS)","author":"Chung","year":"2012"},{"key":"B19","doi-asserted-by":"publisher","first-page":"813","DOI":"10.1098\/rsif.2008.0014","article-title":"Random walk models in biology","volume":"5","author":"Codling","year":"2008","journal-title":"J. R. Soc. Interface"},{"key":"B20","doi-asserted-by":"publisher","DOI":"10.12688\/f1000research.20352.1","article-title":"Pathfinder: open source software for analyzing spatial navigation search strategies","author":"Cooke","year":"2019","journal-title":"F1000Res"},{"key":"B21","doi-asserted-by":"publisher","DOI":"10.1016\/j.exger.2019.110816","article-title":"Gait analysis with videogrammetry can differentiate healthy elderly, mild cognitive impairment, and alzheimer's disease: a cross-sectional study","author":"de Oliveira Silva","year":"2020","journal-title":"Exp. Gerontol"},{"key":"B22","doi-asserted-by":"publisher","first-page":"217","DOI":"10.1146\/annurev-neuro-070815-013845","article-title":"Computational analysis of behavior","volume":"39","author":"Egnor","year":"2016","journal-title":"Annu. Rev. Neurosci"},{"key":"B23","article-title":"Assessment of fluctuating Parkinson's disease with sensor-based home monitoring-feasibility results","author":"Fay-Karmon","year":"2021","journal-title":"Mov. Disord"},{"key":"B24","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/978-1-60761-303-9_1","article-title":"\u201cThe open field test,\u201d","volume-title":"Mood and Anxiety Related Phenotypes in Mice","author":"Gould","year":"2009"},{"key":"B25","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1140\/epjb\/e2017-80378-x","article-title":"The effect of respiratory oscillations in heart rate on detrended fluctuation analysis","volume":"90","author":"Govindan","year":"2017","journal-title":"Eur. Phys. J. B"},{"key":"B26","doi-asserted-by":"publisher","DOI":"10.3389\/fnetp.2022.893743","article-title":"The reconstruction of causal networks in physiology","author":"G\u00fcnther","year":"2022","journal-title":"Front. Netw. Physiol"},{"key":"B27","doi-asserted-by":"publisher","first-page":"42","DOI":"10.1145\/2944164","article-title":"Getting the measure of behavior\u2026 is seeing believing?","volume":"23","author":"Hall","year":"2016","journal-title":"Interactions"},{"key":"B28","doi-asserted-by":"publisher","first-page":"265","DOI":"10.1016\/j.ress.2015.07.027","article-title":"Non-parametric bayesian networks: improving theory and reviewing applications","volume":"144","author":"Hanea","year":"2015","journal-title":"Reliabil. Eng. Syst. Safety"},{"key":"B29","doi-asserted-by":"publisher","DOI":"10.3389\/fphys.2012.00450","article-title":"Detrended fluctuation analysis: a scale-free view on neuronal oscillations","author":"Hardstone","year":"2012","journal-title":"Front. Physiol"},{"key":"B30","doi-asserted-by":"crossref","first-page":"770","DOI":"10.1109\/CVPR.2016.90","article-title":"\u201cDeep residual learning for image recognition,\u201d","volume-title":"2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","author":"He","year":"2016"},{"key":"B31","doi-asserted-by":"publisher","first-page":"561","DOI":"10.1016\/j.jbiomech.2010.09.015","article-title":"Methods to temporally align gait cycle data","volume":"44","author":"Helwig","year":"2011","journal-title":"J. Biomech"},{"key":"B32","doi-asserted-by":"publisher","first-page":"578","DOI":"10.1080\/01621459.2016.1246250","article-title":"Basis function models for animal movement","volume":"112","author":"Hooten","year":"2017","journal-title":"J. Am. Stat. Assoc"},{"key":"B33","doi-asserted-by":"crossref","DOI":"10.1201\/9781315117744","volume-title":"Animal Movement: Statistical Models for Telemetry Data","author":"Hooten","year":"2017"},{"key":"B34","first-page":"34","article-title":"\u201cDeepercut: a deeper, stronger, and faster multi-person pose estimation model,\u201d","volume-title":"European Conference on Computer Vision","author":"Insafutdinov","year":"2016"},{"key":"B35","doi-asserted-by":"publisher","first-page":"20200927","DOI":"10.1098\/rsif.2020.0927","article-title":"Superstatistical modelling of protein diffusion dynamics in bacteria","volume":"18","author":"Itto","year":"2021","journal-title":"J. R. Soc. Interface"},{"key":"B36","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1016\/S0022-5193(03)00277-7","article-title":"A model of animal movements in a bounded space","volume":"225","author":"Jeanson","year":"2003","journal-title":"J. Theor. Biol"},{"key":"B37","doi-asserted-by":"publisher","first-page":"64","DOI":"10.1038\/nmeth.2281","article-title":"Jaaba: interactive machine learning for automatic annotation of animal behavior","volume":"10","author":"Kabra","year":"2013","journal-title":"Nat. Methods"},{"key":"B38","doi-asserted-by":"publisher","DOI":"10.3389\/fnbeh.2022.877323","article-title":"Measuring locomotor activity and behavioral aspects of rodents living in the home-cage","author":"Klein","year":"2022","journal-title":"Front. Behav. Neurosci"},{"key":"B39","doi-asserted-by":"crossref","first-page":"99","DOI":"10.1007\/978-1-4939-8994-2_9","article-title":"\u201cThe open field test for measuring locomotor activity and anxiety-like behavior,\u201d","volume-title":"Pre-Clinical Models","author":"Kraeuter","year":"2019"},{"key":"B40","doi-asserted-by":"publisher","first-page":"190","DOI":"10.1111\/2041-210X.12155","article-title":"Modelling group dynamic animal movement","volume":"5","author":"Langrock","year":"2014","journal-title":"Methods Ecol. Evolut"},{"key":"B41","doi-asserted-by":"publisher","first-page":"174","DOI":"10.1016\/j.bbr.2013.04.044","article-title":"Assessing gait impairment after permanent middle cerebral artery occlusion in rats using an automated computer-aided control system","volume":"250","author":"Li","year":"2013","journal-title":"Behav. Brain Res"},{"key":"B42","doi-asserted-by":"publisher","first-page":"2480","DOI":"10.1016\/j.physa.2011.03.008","article-title":"On spurious and corrupted multifractality: the effects of additive noise, short-term memory and periodic trends","volume":"390","author":"Ludescher","year":"2011","journal-title":"Physica A"},{"key":"B43","first-page":"1","article-title":"\u201cAnimal movement pattern model identification based on detrended fluctuation analysis,\u201d","volume-title":"2020 2nd International Conference Problems of Informatics, Electronics, and Radio Engineering (PIERE)","author":"Lyanova","year":"2022"},{"key":"B44","doi-asserted-by":"publisher","first-page":"51","DOI":"10.1111\/j.1475-097X.2009.00903.x","article-title":"Gait analysis in elderly adult patients with mild cognitive impairment and patients with mild Alzheimer's disease: simple versus dual task: a preliminary report","volume":"30","author":"Maquet","year":"2010","journal-title":"Clin. Physiol. Funct. Imaging"},{"key":"B45","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/ICEDSA.2016.7818553","article-title":"\u201cA wearable wireless system for gait analysis for early diagnosis of alzheimer and Parkinson disease,\u201d","volume-title":"2016 5th International Conference on Electronic Devices, Systems and Applications (ICEDSA)","author":"Margiotta","year":"2016"},{"key":"B46","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1016\/j.physa.2017.05.023","article-title":"Statistical modeling of the internet traffic dynamics: to which extent do we need long-term correlations?","volume":"485","author":"Markelov","year":"2017","journal-title":"Physica A"},{"key":"B47","doi-asserted-by":"publisher","first-page":"1281","DOI":"10.1038\/s41593-018-0209-y","article-title":"Deeplabcut: markerless pose estimation of user-defined body parts with deep learning","volume":"21","author":"Mathis","year":"2018","journal-title":"Nat. Neurosci"},{"key":"B48","doi-asserted-by":"publisher","first-page":"1295","DOI":"10.3233\/JAD-170541","article-title":"What can quantitative gait analysis tell us about dementia and its subtypes? a structured review","volume":"60","author":"Mc Ardle","year":"2017","journal-title":"J. Alzheimers Dis"},{"key":"B49","doi-asserted-by":"crossref","DOI":"10.1093\/acprof:oso\/9780199646661.001.0001","volume-title":"Dog Behaviour, Evolution, and Cognition","author":"Mikl\u00f3si","year":"2014"},{"key":"B50","doi-asserted-by":"publisher","first-page":"96","DOI":"10.1016\/j.gaitpost.2011.08.014","article-title":"Gait assessment in mild cognitive impairment and alzheimer's disease: the effect of dual-task challenges across the cognitive spectrum","volume":"35","author":"Muir","year":"2012","journal-title":"Gait Posture"},{"key":"B51","doi-asserted-by":"publisher","first-page":"2152","DOI":"10.1038\/s41596-019-0176-0","article-title":"Using deeplabcut for 3D markerless pose estimation across species and behaviors","volume":"14","author":"Nath","year":"2019","journal-title":"Nat. Protoc"},{"key":"B52","doi-asserted-by":"publisher","first-page":"1947","DOI":"10.1007\/s11357-021-00401-6","article-title":"Early manifestation of gait alterations in the tg2576 mouse model of alzheimer's disease","volume":"43","author":"Nyul-Toth","year":"2021","journal-title":"Geroscience"},{"key":"B53","doi-asserted-by":"publisher","first-page":"1685","DOI":"10.1007\/s11357-020-00256-3","article-title":"Increases in hypertension-induced cerebral microhemorrhages exacerbate gait dysfunction in a mouse model of Alzheimer's disease","volume":"42","author":"Ny\u00fal-T\u00f3th","year":"2020","journal-title":"Geroscience"},{"key":"B54","doi-asserted-by":"publisher","first-page":"313","DOI":"10.1093\/ageing\/25.4.313","article-title":"Gait disturbance in Alzheimer's disease: a clinical study","volume":"25","author":"O'keeffe","year":"1996","journal-title":"Age Ageing"},{"key":"B55","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jveb.2013.12.001","article-title":"The ethogram project","volume":"9","author":"Overall","year":"2014","journal-title":"J. Vet. Behav"},{"key":"B56","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1016\/j.tree.2007.10.009","article-title":"State-space models of individual animal movement","volume":"23","author":"Patterson","year":"2008","journal-title":"Trends Ecol. Evolut"},{"key":"B57","doi-asserted-by":"publisher","first-page":"1685","DOI":"10.1103\/PhysRevE.49.1685","article-title":"Mosaic organization of dna nucleotides","volume":"49","author":"Peng","year":"1994","journal-title":"Phys. Rev. E"},{"key":"B58","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/s41598-019-56408-9","article-title":"eztrack: an open-source video analysis pipeline for the investigation of animal behavior","volume":"9","author":"Pennington","year":"2019","journal-title":"Sci. Rep"},{"key":"B59","doi-asserted-by":"publisher","first-page":"69","DOI":"10.1016\/j.anbehav.2016.10.006","article-title":"Revisiting the open-field test: what does it really tell us about animal personality?","volume":"123","author":"Perals","year":"2017","journal-title":"Anim. Behav"},{"key":"B60","doi-asserted-by":"publisher","first-page":"1317","DOI":"10.1002\/alz.12298","article-title":"Gait variability across neurodegenerative and cognitive disorders: results from the canadian consortium of neurodegeneration in aging (ccna) and the gait and brain study","volume":"17","author":"Pieruccini-Faria","year":"2021","journal-title":"Alzheimers Dement"},{"key":"B61","doi-asserted-by":"publisher","first-page":"1054","DOI":"10.1016\/j.physa.2018.08.146","article-title":"Assessment of cooperativity in complex systems with non-periodical dynamics: Comparison of five mutual information metrics","volume":"503","author":"Pyko","year":"2018","journal-title":"Physica A"},{"key":"B62","doi-asserted-by":"publisher","first-page":"434006","DOI":"10.1088\/1751-8113\/42\/43\/434006","article-title":"Scale-free animal movement patterns: l\u00e9vy walks outperform fractional brownian motions and fractional l\u00e9vy motions in random search scenarios","volume":"42","author":"Reynolds","year":"2009","journal-title":"J. Phys. A"},{"key":"B63","doi-asserted-by":"publisher","first-page":"102881","DOI":"10.1016\/j.isci.2021.102881","article-title":"Fluctuations of water quality time series in rivers follow superstatistics","volume":"24","author":"Sch\u00e4fer","year":"2021","journal-title":"iScience"},{"key":"B64","doi-asserted-by":"publisher","first-page":"2201","DOI":"10.1098\/rstb.2010.0078","article-title":"Stochastic modelling of animal movement","volume":"365","author":"Smouse","year":"2010","journal-title":"Philos. Trans. R. Soc. B"},{"key":"B65","doi-asserted-by":"publisher","first-page":"134","DOI":"10.1177\/0269881107073199","article-title":"The open field test: reinventing the wheel","volume":"21","author":"Stanford","year":"2007","journal-title":"J. Psychopharmacol"},{"key":"B66","doi-asserted-by":"publisher","first-page":"443","DOI":"10.1080\/10253890.2018.1438405","article-title":"Exploratory rearing: a context-and stress-sensitive behavior recorded in the open-field test","volume":"21","author":"Sturman","year":"2018","journal-title":"Stress"},{"key":"B67","doi-asserted-by":"publisher","first-page":"10008","DOI":"10.1209\/0295-5075\/115\/10008","article-title":"Universal model for collective access patterns in the internet traffic dynamics: a superstatistical approach","volume":"115","author":"Tamazian","year":"2016","journal-title":"EPL"},{"key":"B68","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1186\/s40462-021-00242-0","article-title":"A hierarchical machine learning framework for the analysis of large scale animal movement data","volume":"9","author":"Torney","year":"2021","journal-title":"Mov. Ecol"},{"key":"B69","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1038\/srep08143","article-title":"Detrended partial-cross-correlation analysis: a new method for analyzing correlations in complex system","volume":"5","author":"Yuan","year":"2015","journal-title":"Sci. Rep"}],"container-title":["Frontiers in Neuroinformatics"],"original-title":[],"link":[{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fninf.2023.1101112\/full","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,2,2]],"date-time":"2023-02-02T07:11:13Z","timestamp":1675321873000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.frontiersin.org\/articles\/10.3389\/fninf.2023.1101112\/full"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,2,2]]},"references-count":69,"alternative-id":["10.3389\/fninf.2023.1101112"],"URL":"https:\/\/doi.org\/10.3389\/fninf.2023.1101112","relation":{},"ISSN":["1662-5196"],"issn-type":[{"value":"1662-5196","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,2,2]]},"article-number":"1101112"}}