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Related Experiment Video

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Brain activation associated with active and passive lower limb stepping.

Lukas Jaeger1, Laura Marchal-Crespo2, Peter Wolf2

  • 1Sensory-Motor Systems Lab, Department of Health Sciences and Technology, Eidgenössische Technische Hochschule Zürich Zürich, Switzerland ; Medical Faculty, University of Zurich Zurich, Switzerland ; Clinic of Neuroradiology, University Hospital of Zurich Zurich, Switzerland.

Frontiers in Human Neuroscience
|November 13, 2014
PubMed
Summary

This study shows that combining a robotic system with functional MRI can detect brain activity during walking movements. This method helps understand how the brain controls gait and its rehabilitation.

Keywords:
MARCOSfMRIlocomotionlower limbmotor controlrobotsteppingsupraspinal

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Area of Science:

  • Neuroscience
  • Motor Control
  • Neuroimaging

Background:

  • Standardized neuroimaging of supraspinal activation in gait disorders is limited.
  • Understanding gait rehabilitation effects on sensorimotor brain centers requires robust experimental tasks.

Purpose of the Study:

  • To demonstrate the feasibility of a novel imaging paradigm for measuring brain activity during stepping.
  • To delineate supraspinal contributions to active and passive stepping using magnetic resonance (MR)-compatible stepping robot (MARCOS) and sparse sampling functional magnetic resonance imaging (fMRI).

Main Methods:

  • Utilized the MARCOS system with sparse sampling fMRI in 24 healthy participants.
  • Acquired fMRI data during active and passive, periodic, bilateral, lower limb flexion and extension movements.

Main Results:

  • The MARCOS-fMRI combination successfully detected task-related BOLD signal changes.
  • Both active and passive stepping engaged sensorimotor network areas, with greater activation during active movement.
  • Passive stepping showed activation in anterior cingulate and medial frontal areas, suggesting motor inhibition.

Conclusions:

  • The MARCOS and sparse sampling fMRI approach is feasible for detecting lower limb motor-related supraspinal activation.
  • This method provides insights into the neural mechanisms of gait control in healthy individuals.
  • Findings are relevant for future research on gait disorders and rehabilitation.