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Galvanic Vestibular Stimulation Produces Cross-Modal Improvements in Visual Thresholds

Allison P. Anderson, Alexander Kryuchkov, Rachel Rise, Torin K. Clark, Ponder Stine, Jamie Voros, Sage O. Sherman

2021CU Scholar (University of Colorado Boulder)20 citationsDOIOpen Access PDF

Abstract

<div id="enc-abstract" class="abstract-content selected"> <strong class="sub-title"> Background: </strong> Stochastic resonance (SR) refers to a faint signal being enhanced with the addition of white noise. Previous studies have found that vestibular perceptual thresholds are lowered with noisy galvanic vestibular stimulation (i.e., "in-channel" SR). Auditory white noise has been shown to improve tactile and visual thresholds, suggesting "cross-modal" SR. <strong class="sub-title"> Objective: </strong> We investigated galvanic vestibular white noise (nGVS) (<em>n</em> = 9 subjects) to determine the cross-modal effects on visual and auditory thresholds. <strong class="sub-title"> Methods: </strong> We measured auditory and visual perceptual thresholds of human subjects across a swath of different nGVS levels in order to determine if some individual-subject determined best nGVS level elicited a reduction in thresholds as compared the no noise condition (sham). <strong class="sub-title"> Results: </strong> We found improvement in visual thresholds (by an average of 18%, <em>p</em> = 0.014). Subjects with higher (worse) visual thresholds with no stimulation (sham) improved more than those with lower thresholds (<em>p</em> = 0.04). Auditory thresholds were unchanged by vestibular stimulation. <strong class="sub-title"> Conclusion: </strong> These results are the first demonstration of cross-modal improvement with galvanic vestibular stimulation, indicating galvanic vestibular white noise can produce cross-modal improvements in some sensory channels, but not all. </div> &nbsp;

Topics & Concepts

Galvanic vestibular stimulationVestibular systemAudiologyStimulationWhite noiseNoise (video)Sensory systemPerceptionPsychologyMedicineNeuroscienceComputer scienceTelecommunicationsArtificial intelligenceImage (mathematics)Neural dynamics and brain functionstochastic dynamics and bifurcationVisual perception and processing mechanisms
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