Research output: Contribution to journal › Article › peer-review
Objective quantification of gait impairment in rats using automated video analysis. / Кукушкина, Екатерина Сергеевна; Трактиров, Д. С.; Бурдинская, Виктория Олеговна; Карпенко, Марина Николаевна; Лебедева, Елена Яковлевна.
In: Biophysics (Japan), Vol. 23, No. 3, e230022, 09.07.2026, p. e230022.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Objective quantification of gait impairment in rats using automated video analysis
AU - Кукушкина, Екатерина Сергеевна
AU - Трактиров, Д. С.
AU - Бурдинская, Виктория Олеговна
AU - Карпенко, Марина Николаевна
AU - Лебедева, Елена Яковлевна
PY - 2026/7/9
Y1 - 2026/7/9
N2 - The aim of this study was to evaluate StepAn as an automated approach for quantitative gait analysis in rodents. We sought to determine whether this video-based approach, which uses standard recordings from devices like smartphones, could sensitively detect motor deficits in a pharmacological model of Parkinsonian bradykinesia. Wistar rats received a single intraperitoneal injection of saline (control), 0.15 mg/kg haloperidol, or 0.30 mg/kg haloperidol. One hour post-injection, gait was analyzed using both the traditional manual "Footprints" test and the StepAn-based automated video analysis, which performs paw detection and stride length calculation from video recordings. Both analysis methods detected a significant reduction in average stride length in haloperidol-treated rats compared to controls (p<0.001), confirming the expected bradykinetic phenotype. No significant difference was found between the two haloperidol doses. Automated analysis provided equivalent mean values but demonstrated superior precision, evidenced by significantly lower measurement variability compared to manual scoring. We evaluated StepAn as a precise and hardware-flexible tool for quantitative gait assessment. Its ability to detect drug-induced Parkinsonian gait deficits comparable to established methods supports its use for objective locomotor analysis in preclinical research.
AB - The aim of this study was to evaluate StepAn as an automated approach for quantitative gait analysis in rodents. We sought to determine whether this video-based approach, which uses standard recordings from devices like smartphones, could sensitively detect motor deficits in a pharmacological model of Parkinsonian bradykinesia. Wistar rats received a single intraperitoneal injection of saline (control), 0.15 mg/kg haloperidol, or 0.30 mg/kg haloperidol. One hour post-injection, gait was analyzed using both the traditional manual "Footprints" test and the StepAn-based automated video analysis, which performs paw detection and stride length calculation from video recordings. Both analysis methods detected a significant reduction in average stride length in haloperidol-treated rats compared to controls (p<0.001), confirming the expected bradykinetic phenotype. No significant difference was found between the two haloperidol doses. Automated analysis provided equivalent mean values but demonstrated superior precision, evidenced by significantly lower measurement variability compared to manual scoring. We evaluated StepAn as a precise and hardware-flexible tool for quantitative gait assessment. Its ability to detect drug-induced Parkinsonian gait deficits comparable to established methods supports its use for objective locomotor analysis in preclinical research.
KW - automated video analysis
KW - gait analysis
KW - haloperidol
KW - motor dysfunction
KW - rats
UR - https://www.mendeley.com/catalogue/3b4353ee-ee8d-32e8-bf21-3b88747cc4ec/
U2 - 10.2142/biophysico.bppb-v23.0022
DO - 10.2142/biophysico.bppb-v23.0022
M3 - Article
C2 - 42699024
VL - 23
SP - e230022
JO - Biophysics (Japan)
JF - Biophysics (Japan)
SN - 1349-2942
IS - 3
M1 - e230022
ER -
ID: 160561688