Unbiased quantification of persistent postural and motor deficits following spinal cord injury in mice
Sarah S. Jobbins, Vihaan Pande, Chih-Wei Zeng, Helen Poldsam, Allan-Hermann Pool, Chun-Li Zhang, Helen C. Lai

TL;DR
This study uses advanced tracking and machine learning to identify long-lasting postural and motor impairments in mice after spinal cord injury, which traditional methods miss.
Contribution
The study introduces an unbiased, quantitative method using high-speed video and machine learning to assess persistent motor and postural deficits after SCI.
Findings
SCI causes long-term postural changes like reduced hindpaw spacing and altered hindpaw angles beyond 42 days post-injury.
Motor deficits include reduced locomotor activity, decreased exploration, and disrupted fore-to-hindpaw speed ratios.
Behavioral motif analysis reveals altered motor patterns after SCI, while sensory deficits return to baseline by 21 days.
Abstract
Spinal cord injury (SCI) causes multifaceted postural and motor impairments that are challenging to quantify. Conventional behavioral tests, such as the Basso mouse scale (BMS), rely on qualitative observations, which do not detect subtle yet significant functional deficits. To perform unbiased and quantitative evaluation of motor function and posture after SCI, we employed high-speed video tracking with machine learning-based whole body pose estimation and weight-bearing analyses using the Blackbox system in freely moving mice. We found enduring alterations in posture induced by SCI not captured by conventional metrics. Postural deficits included reduced hindpaw spacing with concomitant increased forepaw spacing, narrowed femur width, and altered hindpaw angles, which remained evident beyond 42 days post-injury (dpi). Furthermore, sustained deficits in locomotor activity were…
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Taxonomy
TopicsSpinal Cord Injury Research · Zebrafish Biomedical Research Applications · Transcranial Magnetic Stimulation Studies
