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Related Concept Videos

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Related Experiment Video

Updated: Dec 8, 2025

Author Spotlight: Using the MouseWalker to Quantify Locomotor Dysfunction in a Mouse Model of Spinal Cord Injury
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Redundancy and multifunctionality among spinal locomotor networks.

Bau N Pham1, Jiangyuan Luo2, Harnadar Anand3

  • 1Department of Bioengineering, University of California, Los Angeles, California.

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|September 23, 2020
PubMed
Summary

Targeted recombination in active populations (TRAP) reveals extensive redundancy in spinal locomotor circuits. Repetitive stepping activates only about 20% of the same neurons, suggesting flexible network recruitment for locomotion.

Keywords:
FosTRAPc-Fosmultifunctionalityredundancyspinal cord

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Area of Science:

  • Neuroscience
  • Spinal Cord Research
  • Locomotion

Background:

  • c-Fos protein indicates neural activation but only captures single events.
  • Targeted Recombination in Active Populations (TRAP) allows capturing two distinct neural activation patterns in vivo.
  • TRAP has primarily been used for brain circuit analysis.

Purpose of the Study:

  • To investigate spinal circuit activation during resting and stepping using the TRAP methodology.
  • To provide novel insights into spinal network activation during motor tasks.
  • To establish FosTRAP as a tool for comparing spinal interneuron engagement under various conditions.

Main Methods:

  • Utilized the FosTRAP mouse model to label neuronal populations activated during specific behavioral epochs.
  • Administered two distinct 30-minute stepping bouts in the same animals.
  • Analyzed colabeling of c-Fos and TRAP-labeled neurons in the spinal cord.

Main Results:

  • Demonstrated probabilistic recruitment of spinal neurons during repetitive stepping, with only ~20% overlap between two bouts.
  • Showcased colabeling of interneurons active during both stepping and resting states.
  • Revealed extensive redundancy within spinal locomotor circuits.

Conclusions:

  • The FosTRAP methodology is a valuable tool for studying spinal cord circuits in vivo.
  • Spinal locomotor circuits exhibit significant redundancy, allowing for flexible recruitment of neural populations.
  • Variability in neural network selection enables the generation of numerous step cycles.