TracMouse: A computer aided movement analysis script for the mouse inverted horizontal grid test

Wiktor Niewiadomski , E. Palasz , M. Skupińska , Marek Żyliński , M. Steczkowska , A. Gąsiorowska , G. Niewiadomska , G. Riedel

Abstract

In rodents, detection and quantification of motor impairments is difficult. The traction test (inverted grid with mice clinging to the underside) currently has no objective rating system. We here developed and validated the semi-automatic MATLAB script TracMouse for unbiased detection of video-recorded movement patterns. High precision videos were analyzed by: (i) principal identification of anatomical paw details frame-by-frame by an experimentally blinded rater; (ii) automatic retrieval of proxies by TracMouse for individual paws. The basic states of Hold and Step were discriminated as duration and frequency, and these principle parameters were converted into static and dynamic endpoints and their discriminating power assessed in a dopaminergic lesion model. Relative to hind paws, forepaws performed ~4 times more steps, they were ~20% longer, and Hold duration was ~5 times shorter in normal C57Bl/6 mice. Thus, forepaw steps were classified as exploratory, hind paw movement as locomotive. Multiple novel features pertaining to paw sequence, step lengths and exploratory touches were accessible through TracMouse and revealed subtle Parkinsonian phenotypes. Novel proxies using TracMouse revealed previously unidentified features of movement and may aid the understanding of (i) brain circuits related to motor planning and execution, and (ii) phenotype detection in experimental models of movement disorders.
Author Wiktor Niewiadomski - Mossakowski Medical Research Centre, Polish Academy of Sciences, Warsaw, Poland
Wiktor Niewiadomski,,
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, E. Palasz
E. Palasz,,
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, M. Skupińska
M. Skupińska,,
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, Marek Żyliński IMIB
Marek Żyliński,,
- The Institute of Metrology and Biomedical Engineering
, M. Steczkowska
M. Steczkowska,,
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, A. Gąsiorowska
A. Gąsiorowska,,
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, G. Niewiadomska
G. Niewiadomska,,
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, G. Riedel
G. Riedel,,
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Journal seriesScientific Reports, ISSN 2045-2322
Issue year2016
No6
Pages39331-1 - 39331-15
Publication size in sheets0.3
DOIDOI:10.1038/srep39331
URL http://www.nature.com/articles/srep39331
Languageen angielski
Score (nominal)40
ScoreMinisterial score [Punktacja MNiSW] = 40.0, 28-11-2017, ArticleFromJournal
Ministerial score (2013-2016) [Punktacja MNiSW (2013-2016)] = 40.0, 28-11-2017, ArticleFromJournal
Publication indicators WoS Impact Factor [Impact Factor WoS]: 2016 = 4.259 (2) - 2016=4.847 (5)
Citation count*0
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