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A novel behavioral paradigm using mice to study predictive postural control.

Yurika Doi1,2, Meiko Asaka3,4, Richard T Born2,5

  • 1Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, United States.

Frontiers in Neuroscience
|April 29, 2026
PubMed
Summary
This summary is machine-generated.

Researchers developed a novel mouse model to study predictive postural control. This new paradigm allows for investigating how anticipation influences balance and body position, advancing neuroscience research.

Keywords:
balancelearningmotor controlrodentsensorimotor

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Area of Science:

  • Neuroscience
  • Biomechanics
  • Animal Models

Background:

  • Postural control is crucial for maintaining balance against self-generated or external disturbances.
  • Anticipation of predictable disturbances modulates postural responses, suggesting higher-level neural involvement.
  • The neural circuitry underlying predictive postural control remains largely unknown.

Purpose of the Study:

  • To develop a novel experimental paradigm for studying predictive postural control in mice.
  • To enable future neural recordings and circuit manipulations in mice for postural control research.

Main Methods:

  • A dynamic platform generated reproducible translational perturbations for mice standing on hind legs.
  • Mice received auditory cues preceding predictable backward translations.
  • Postural responses to predictable versus unpredictable perturbations were analyzed across multiple days.

Main Results:

  • Preliminary results validated the novel experimental paradigm.
  • The auditory cue's effect on postural responses was investigated.
  • The paradigm successfully elicited measurable postural adjustments in mice.

Conclusions:

  • The developed mouse paradigm is a viable tool for studying predictive postural control.
  • This paradigm opens avenues for detailed neural investigation of balance and anticipation.
  • Future research can utilize this model to explore the neural basis of predictive motor control.