{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T08:36:33Z","timestamp":1773995793837,"version":"3.50.1"},"reference-count":5,"publisher":"Frontiers Media SA","license":[{"start":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T00:00:00Z","timestamp":1773964800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":["frontiersin.org"],"crossmark-restriction":true},"short-container-title":["Front. Neurol."],"abstract":"<jats:p>We present a novel computer vision approach using DeepLabCut to objectively quantify orofacial dyskinesias in Parkinson\u2019s disease. Unlike traditional wearable sensors that focus on limb movements, this method tracks tongue, chin, nose, and forehead landmarks through standard video recordings using a fully markerless deep learning pipeline, capturing metrics including displacement, variability, and peak movements. Analysis of a hospitalised patient over 4\u202fdays demonstrated progressive reduction in dyskinetic parameters correlating with medication adjustments, consistent with concurrent clinical assessment using the Unified Dyskinesia Rating Scale (UDysRS) and modified Abnormal Involuntary Movement Scale (mAIMS). Though resource-intensive, glossography offers potential for remote monitoring in underserved areas with limited specialist access. The technique provides granular movement assessment using widely available technology, potentially enhancing treatment precision beyond traditional clinician-administered rating scales.<\/jats:p>","DOI":"10.3389\/fneur.2026.1758570","type":"journal-article","created":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T05:23:09Z","timestamp":1773984189000},"update-policy":"https:\/\/doi.org\/10.3389\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Glossography \u2013 a computer vision technique for assessing involuntary tongue movements in dyskinesias"],"prefix":"10.3389","volume":"17","author":[{"given":"Maksymilian Aleksander","family":"Brzezicki","sequence":"first","affiliation":[{"name":"Jesus College, University of Oxford","place":["Oxford, United Kingdom"]},{"name":"Department of Neural Engineering and Space Medicine, Institute of Medical Sciences, University of Zielona G\u00f3ra","place":["Zielona Gora, Poland"]},{"name":"Centre for Space Research, Polish Academy of Sciences","place":["Warsaw, Poland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Przemyslaw Temistokles","family":"Zakowicz","sequence":"additional","affiliation":[{"name":"Department of Neural Engineering and Space Medicine, Institute of Medical Sciences, University of Zielona G\u00f3ra","place":["Zielona Gora, Poland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Marcin","family":"Palczynski","sequence":"additional","affiliation":[{"name":"Department of Neural Engineering and Space Medicine, Institute of Medical Sciences, University of Zielona G\u00f3ra","place":["Zielona Gora, Poland"]}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emilia","family":"Pilchowska-Ujma","sequence":"additional","affiliation":[{"name":"Department of Neural Engineering and Space Medicine, Institute of Medical Sciences, University of Zielona G\u00f3ra","place":["Zielona Gora, Poland"]},{"name":"Department of Neurology, University of 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