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Functional Near Infrared Spectroscopy of the Sensory and Motor Brain Regions with Simultaneous Kinematic and EMG Monitoring During Motor Tasks
Published on: December 5, 2014
A novel technique for examining human brain activity associated with pedaling using fMRI
Jay P Mehta1, Matthew D Verber, Jon A Wieser
1Department of Physical Therapy, Marquette University, Milwaukee, WI 53201-1881, USA.
Journal of Neuroscience Methods
|May 12, 2009
Summary
Researchers recorded human brain activity during pedaling using functional magnetic resonance imaging (fMRI). A novel analysis technique revealed plausible brain patterns, advancing the study of motor control during locomotion.
Area of Science:
- Neuroscience
- Motor Control
- Medical Imaging
Background:
- Functional magnetic resonance imaging (fMRI) enables brain activity imaging during motor tasks.
- Imaging brain activity during complex lower limb movements like locomotion presents technical challenges.
- Previous fMRI studies faced difficulties with magnetic field distortions during leg movements.
Purpose of the Study:
- To develop and validate a method for recording human brain activity during pedaling using fMRI.
- To investigate the neural correlates of rhythmic lower limb movements.
- To overcome technical limitations in imaging brain activity during locomotion.
Main Methods:
- Developed an MR-compatible pedaling device for use in a 3T scanner.
- Recorded fMRI signals from ten volunteers pedaling at 30 RPM using a block design.
- Adapted fMRI analysis to focus on the blood-oxygen-level dependent (BOLD) signal during movement-free periods to mitigate motion artifacts.
Main Results:
- Observed physiologically plausible brain activity patterns in sensory-motor cortices and the cerebellum during pedaling.
- Successfully recorded fMRI signals associated with rhythmic lower extremity movement.
- Demonstrated the efficacy of analyzing the delayed BOLD signal post-movement.
Conclusions:
- This study presents the first fMRI recording of human brain activity during pedaling.
- The adapted fMRI analysis technique effectively captures neural signals despite motion artifacts.
- This method holds potential for advancing the understanding of supraspinal control in locomotion and related neurological conditions.

