Abstract

This study examines the cerebral structures involved in dynamic balance using a motor imagery (MI) protocol. We recorded cerebral activity with functional magnetic resonance imaging while subjects imagined swaying on a balance board along the sagittal plane to point a laser at target pairs of different sizes (small, large). We used a matched visual imagery (VI) control task and recorded imagery durations during scanning. MI and VI durations were differentially influenced by the sway accuracy requirement, indicating that MI of balance is sensitive to the increased motor control necessary to point at a smaller target. Compared to VI, MI of dynamic balance recruited additional cortical and subcortical portions of the motor system, including frontal cortex, basal ganglia, cerebellum and mesencephalic locomotor region, the latter showing increased effective connectivity with the supplementary motor area. The regions involved in MI of dynamic balance were spatially distinct but contiguous to those involved in MI of gait (Bakker et al., 2008; Snijders et al., 2011; Crémers et al., 2012), in a pattern consistent with existing somatotopic maps of the trunk (for balance) and legs (for gait). These findings validate a novel, quantitative approach for studying the neural control of balance in humans. This approach extends previous reports on MI of static stance (Jahn et al., 2004, 2008), and opens the way for studying gait and balance impairments in patients with neurodegenerative disorders.

Highlights

  • Neuroimaging has been used extensively to study the neurophysiology of human motor control, focusing mainly on hand, arm, and foot movements [1,2,3,4]

  • We examined whether the degree to which trial durations conformed to Fitts’ Law was different for the different tasks, by considering the effect of TASK (DB, motor imagery (MI) and visual imagery (VI)) on the variance in trial duration that could be explained by index of difficulty (ID) (r2) after log transformation, using a repeated measures analysis of variance (ANOVA)

  • We considered a series of target regions: pallidum, MLR, and supplementary motor area (SMA) when considering the thalamus as a source region; and SMA, thalamus, and cerebellum when considering the MLR as a source region

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Summary

Introduction

Neuroimaging has been used extensively to study the neurophysiology of human motor control, focusing mainly on hand, arm, and foot movements [1,2,3,4]. New opportunities for understanding the cerebral control of human whole-body movements have emerged from the combination of quantitative motor imagery protocols and fMRI. This approach quantifies cerebral activity while subjects imagine a particular movement. Besides specificity for planning-related components of balance control, motor imagery offers the possibility to study the selection of balancerelated motor plans in a recumbent position, i.e. in a position compatible with techniques like fMRI. This is important for exploiting the high spatial resolution and whole-brain coverage afforded by those techniques. We developed an experimental protocol to investigate dynamic balance control

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