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Functional Gait Assessment Using Manual, Semi-Automated and Deep Learning Approaches Following Standardized Models of Peripheral Nerve Injury in Mice.

Daniel UmanskyKathleen M HagenTak Ho ChuRajesh Krishna PathiyilSaud AlzahraniShalina S OusmanRajiv Midha
Published in: Biomolecules (2022)
Stretch-crush injury achieved a more reproducible and constant injury compared to crush-only injuries, with at least a Sunderland grade 3 injury (perineurial interruption) in histological samples one week post-injury in the former. However, serial behavioral outcomes were comparable between the two crush groups, with similar kinetics of recovery by von Frey testing, SFI and certain VGL parameters, the latter reported for the first time in rodent peripheral nerve injury. Semi-automated and deep learning-based approaches for gait analysis are promising, but require further validation for evaluation in murine hind-limb nerve injuries.
Keyphrases
  • peripheral nerve
  • deep learning
  • machine learning
  • high throughput
  • artificial intelligence
  • type diabetes
  • skeletal muscle
  • adipose tissue
  • insulin resistance
  • single cell
  • cerebral palsy