{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,23]],"date-time":"2025-10-23T01:14:40Z","timestamp":1761182080655,"version":"build-2065373602"},"reference-count":22,"publisher":"Society for Neuroscience","issue":"10","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":182,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-sa\/4.0\/"}],"funder":[{"name":"Doktor Robert Pflege Stiftung","award":["889017"],"award-info":[{"award-number":["889017"]}]}],"content-domain":{"domain":["eneuro.org"],"crossmark-restriction":true},"short-container-title":["eNeuro"],"accepted":{"date-parts":[[2025,9,15]]},"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:p>Studying locomotor activity in animal models is crucial for understanding physiological, behavioral, and pathological processes. This study aimed to develop an artificial intelligence-based tracking system called Goblotrop, designed to localize rodents within their laboratory environment. The Goblotrop system uses two infrared cameras to record videos of rodents in their home cages. A neural network analyzes these videos to determine the rodent's position at each time point. By tracking changes in position over time, the system provides detailed insights into rodent behavior, including speed, mobility, and climbing activity. To evaluate the system's reliability, we utilized a starvation-induced hyperactivity model, employed as a female mouse model for anorexia nervosa. This model is characterized by pronounced hyperactivity, typically assessed using electronically monitored running wheels. Both the Goblotrop system and running wheel measurements demonstrated that starvation increases food-anticipatory activity (up to 4\u2005h before food availability) while reducing nocturnal activity. The results from the Goblotrop system and running wheel measurements exhibited remarkable consistency. Thus, the Goblotrop system proves to be a valuable tool for studying locomotor activity and circadian rhythms in different cage areas in animal models. This tool provides potential for various scientific fields, including neuroscience, pharmacology, toxicology, and behavioral research.<\/jats:p>","DOI":"10.1523\/eneuro.0218-25.2025","type":"journal-article","created":{"date-parts":[[2025,10,8]],"date-time":"2025-10-08T17:50:20Z","timestamp":1759945820000},"page":"ENEURO.0218-25.2025","update-policy":"https:\/\/doi.org\/10.1523\/eneuro.crossmarkpolicy","source":"Crossref","is-referenced-by-count":0,"title":["Establishment of an Infrared-Camera-Based Home-Cage Tracking System Goblotrop"],"prefix":"10.1523","volume":"12","author":[{"given":"Theo","family":"Gabloffsky","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Katharina","family":"Schuster","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Annelie","family":"Zimmermann","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna","family":"Staffeld","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Alexander","family":"Hawlitschka","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ralf","family":"Salomon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Linda","family":"Frintrop","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"393","published-online":{"date-parts":[[2025,10,8]]},"reference":[{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.1","doi-asserted-by":"crossref","first-page":"829","DOI":"10.1016\/j.biopsych.2020.06.030","article-title":"Vulnerable and resilient phenotypes in a mouse model of anorexia nervosa","volume":"90","author":"Beeler","year":"2021","journal-title":"Biol Psychiatry"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.2","unstructured":"Bochkovskiy A , Wang C-Y , Liao H-YM (2020) Yolov4: optimal speed and accuracy of object detection."},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.3","doi-asserted-by":"crossref","first-page":"930","DOI":"10.1038\/s41551-019-0396-1","article-title":"Real-time analysis of the behaviour of groups of mice via a depth-sensing camera and machine learning","volume":"3","author":"de Chaumont","year":"2019","journal-title":"Nat Biomed Eng"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.4","doi-asserted-by":"crossref","unstructured":"Fong T , Jury B , Hu H , Murphy TH (2022) Pyrodenttracks: flexible computer vision and rfid based system for multiple rodent tracking and behavioral assessment. bioRxiv.","DOI":"10.1101\/2022.01.23.477395"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.5","doi-asserted-by":"crossref","first-page":"225","DOI":"10.1080\/15622975.2016.1273552","article-title":"Reduced astrocyte density underlying brain volume reduction in activity-based anorexia rats","volume":"19","author":"Frintrop","year":"2018","journal-title":"World J Biol Psychiatry"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.6","doi-asserted-by":"crossref","first-page":"191","DOI":"10.1016\/j.jneumeth.2017.09.018","article-title":"Establishment of a chronic activity-based anorexia rat model","volume":"293","author":"Frintrop","year":"2018","journal-title":"J Neurosci Methods"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.7","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1038\/s41398-019-0493-7","article-title":"The reduction of astrocytes and brain volume loss in anorexia nervosa\u2014the impact of starvation and refeeding in a rodent model","volume":"9","author":"Frintrop","year":"2019","journal-title":"Transl Psychiatry"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.8","doi-asserted-by":"crossref","first-page":"5252","DOI":"10.3390\/nu14245252","article-title":"Food restriction in mice induces food-anticipatory activity and circadian-rhythm-related activity changes","volume":"14","author":"Gabloffsky","year":"2022","journal-title":"Nutrients"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.9","doi-asserted-by":"publisher","DOI":"10.1186\/s12915-023-01751-7"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.10","doi-asserted-by":"publisher","DOI":"10.3389\/fnbeh.2022.877323"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.11","doi-asserted-by":"crossref","first-page":"ENEURO.0485-19.2020","DOI":"10.1523\/ENEURO.0485-19.2020","article-title":"Rodent arena tracker (RAT): a machine vision rodent tracking camera and closed loop control system","volume":"7","author":"Krynitsky","year":"2020","journal-title":"eNeuro"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.12","doi-asserted-by":"crossref","first-page":"256","DOI":"10.26502\/fjppr.091","article-title":"The iMouse system \u2013 a visual method for standardized digital data acquisition reduces severity levels in animal-based studies","volume":"7","author":"Laz","year":"2023","journal-title":"J Pharm Pharmacol Res"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.13","doi-asserted-by":"crossref","first-page":"622","DOI":"10.1016\/j.euroneuro.2010.04.002","article-title":"Activity-based anorexia in C57\/BL6 mice: effects of the phytocannabinoid, delta9-tetrahydrocannabinol (THC) and the anandamide analogue, OMDM-2","volume":"20","author":"Lewis","year":"2010","journal-title":"Eur Neuropsychopharmacol"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.14","doi-asserted-by":"publisher","DOI":"10.1111\/j.1460-9568.2009.06965.x"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.15","doi-asserted-by":"publisher","DOI":"10.1016\/j.physbeh.2011.04.015"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.16","doi-asserted-by":"crossref","unstructured":"Patman J , Michael SC , Lutnesky MMF , Palaniappan K (2018) Biosense: real-time object tracking for animal movement and behavior research. In 2018 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 1\u20138.","DOI":"10.1109\/AIPR.2018.8707411"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.17","doi-asserted-by":"crossref","unstructured":"Rezaei B , Huang X , Yee JR , Ostadabbas S (2017) Long-term non-contact tracking of caged rodents. In 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 1952\u20131956.","DOI":"10.1109\/ICASSP.2017.7952497"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.18","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0220751"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.19","doi-asserted-by":"crossref","first-page":"1710","DOI":"10.3390\/cells12131710","article-title":"Establishment of a murine chronic anorexia nervosa model","volume":"12","author":"Staffeld","year":"2023","journal-title":"Cells"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.20","doi-asserted-by":"crossref","first-page":"215","DOI":"10.2144\/000114607","article-title":"Mouse behavior tracker: an economical method for tracking behavior in home cages","volume":"63","author":"Tungtur","year":"2017","journal-title":"Biotechniques"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.21","doi-asserted-by":"crossref","first-page":"227","DOI":"10.1186\/s40337-023-00948-z","article-title":"Glial cell changes in the corpus callosum in chronically-starved mice","volume":"11","author":"Zimmermann","year":"2023","journal-title":"J Eat Disord"},{"key":"2025102210501334000_12.10.ENEURO.0218-25.2025.22","doi-asserted-by":"crossref","first-page":"756","DOI":"10.1002\/eat.24379","article-title":"Changes in circadian rhythm in chronically-starved mice are associated with glial cell density reduction in the suprachiasmatic nucleus","volume":"58","author":"Zimmermann","year":"2025","journal-title":"Int J Eat Disord"}],"container-title":["eneuro"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.1523\/ENEURO.0218-25.2025","content-type":"unspecified","content-version":"vor","intended-application":"syndication"},{"URL":"https:\/\/syndication.highwire.org\/content\/doi\/10.1523\/ENEURO.0218-25.2025","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,22]],"date-time":"2025-10-22T17:50:22Z","timestamp":1761155422000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.eneuro.org\/lookup\/doi\/10.1523\/ENEURO.0218-25.2025"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,10]]},"references-count":22,"journal-issue":{"issue":"10","published-online":{"date-parts":[[2025,10,22]]},"published-print":{"date-parts":[[2025,10]]}},"alternative-id":["10.1523\/ENEURO.0218-25.2025"],"URL":"https:\/\/doi.org\/10.1523\/eneuro.0218-25.2025","relation":{},"ISSN":["2373-2822"],"issn-type":[{"type":"electronic","value":"2373-2822"}],"subject":[],"published":{"date-parts":[[2025,10]]}}}