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Updated: Jan 22, 2026

Using Eye-tracking to Assess the Relative Importance of Visual and Vestibular Input to Subcortical Motion Processing in the Roll Plane
Published on: August 22, 2025
Time course of the subjective visual vertical during sustained optokinetic and galvanic vestibular stimulation
Nynke Niehof1, Florian Perdreau1, Mathieu Koppen1
1Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, The Netherlands.
Abstract:
The brain is thought to use rotation cues from both the vestibular and optokinetic system to disambiguate the gravito-inertial force, as measured by the otoliths, into components of linear acceleration and gravity direction relative to the head. Hence, when the head is stationary and upright, an erroneous percept of tilt arises during optokinetic roll stimulation (OKS) or when an artificial canal-like signal is delivered by means of galvanic vestibular stimulation (GVS). It is still unknown how this percept is affected by the combined presence of both cues or how it develops over time. Here, we measured the time course of the subjective visual vertical (SVV), as a proxy of perceived head tilt, in human participants (n = 16) exposed to constant-current GVS (1 and 2 mA, cathodal and anodal) and constant-velocity OKS (30°/s clockwise and counterclockwise) or their combination. In each trial, participants continuously adjusted the orientation of a visual line, which drifted randomly, to Earth vertical. We found that both GVS and OKS evoke an exponential time course of the SVV. These time courses have different amplitudes and different time constants, 4 and 7 s respectively, and combine linearly when the two stimulations are presented together. We discuss these results in the framework of observer theory and Bayesian state estimation.NEW & NOTEWORTHY While it is known that both roll optokinetic stimuli and galvanic vestibular stimulation affect the percept of vertical, how their effects combine and develop over time is still unclear. Here we show that both effects combined linearly but are characterized by different time constants, which we discuss from a probabilistic perspective.
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