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Assessing head acceleration to identify a motor threshold to galvanic vestibular stimulation
Youstina Mikhail1,2, Jonathan Charron2,3, Jean-Marc Mac-Thiong4,5
1School of Rehabilitation, Université de Montréal, Montreal, Canada.
Journal of Neurophysiology
|April 21, 2021
Summary
Galvanic vestibular stimulation (GVS) can now be objectively quantified using head acceleration to determine a motor threshold. This method helps standardize GVS intensity for assessing vestibular function and postural responses.
Area of Science:
- Neuroscience
- Biomechanics
- Vestibular System Research
Background:
- Galvanic vestibular stimulation (GVS) is crucial for evaluating vestibular function.
- Response variability in GVS protocols complicates quantitative analysis and comparisons.
- Standardizing GVS intensity is needed for reliable assessment of vestibulospinal responses.
Purpose of the Study:
- To identify an objective motor threshold for GVS intensity using head acceleration.
- To establish a standardized method for assessing standing postural responses with GVS.
- To explore novel approaches for understanding vestibular system changes.
Main Methods:
- Healthy subjects underwent GVS with binaural and bipolar configurations.
- Head acceleration was measured using an accelerometer placed on the vertex.
- Electromyography of the soleus muscle and force platform data were recorded concurrently.
Main Results:
- GVS induced a biphasic head acceleration response at 15 ms latency.
- An objective motor threshold was determined via recruitment curves and the method of limits.
- Objective motor thresholds differed significantly from subjective perceptual thresholds, except for the method of limits approach.
Conclusions:
- An objective motor threshold for GVS, based on head acceleration, was successfully identified in standing participants.
- The development of recruitment curves for GVS response amplitude is feasible.
- These objective measures offer a standardized approach to assess vestibular system function and its changes over time or across conditions.
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