scholarly journals Neural Correlates of Visually Induced Self-Motion Illusion in Depth

2007 ◽  
Vol 18 (8) ◽  
pp. 1779-1787 ◽  
Author(s):  
Gyula Kovács ◽  
Markus Raabe ◽  
Mark W. Greenlee
2019 ◽  
Vol 19 (10) ◽  
pp. 236b
Author(s):  
Constanze Schmitt ◽  
Milosz Krala ◽  
Frank Bremmer

2020 ◽  
Vol 123 (1) ◽  
pp. 346-355 ◽  
Author(s):  
Sylvain Harquel ◽  
Michel Guerraz ◽  
Pierre-Alain Barraud ◽  
Corinne Cian

Visually induced illusion of self-motion (vection) has been used as a tool to address neural correlates of visual-vestibular interaction. The extent to which vestibular cortical areas are deactivated during vection varies from one study to another. The main question in this study is whether such deactivation depends on the visual-vestibular conflict induced by visual motion. A visual motion about the line of sight (roll motion) induces a visual-canal conflict in upright and supine observers. An additional visual-otolith conflict arises in the upright position only, with the graviceptive inputs indicating that the head is stationary. A 96-channel electroencephalogram (EEG) was recorded in 21 participants exposed to roll motion in seated and supine positions. Meanwhile, perceptual state of self-motion was recorded. Results showed a transient decrease in the cortical sensorimotor networks’ alpha activity at the onset of vection whatever the participant’s position, and therefore the visual-vestibular conflict. During vection, an increase in alpha activity over parieto-occipital areas was observed in the upright condition, that is, in a condition of visual-otolith conflict. The modulation of alpha activity may be predictive of the illusion of self-motion but also may reflect the level of inhibition in the sensorimotor networks needed to reduce potential interference from vestibular conflicting inputs. NEW & NOTEWORTHY For the first time, we explored the neural correlates of different visuo-vestibular conflicts induced by visual motion using EEG. Our study highlighted a neuronal signature for illusory self-motion (vection) in the sensorimotor networks. Strong alpha activity may predict successful vection but also reflects the level of inhibition of sensorimotor networks needed to reduce potential interfering vestibular inputs. These findings would be of prime importance for simulator and virtual reality systems that induce vection.


2012 ◽  
Vol 219 (1) ◽  
pp. 1-11 ◽  
Author(s):  
H. Nolan ◽  
J. S. Butler ◽  
R. Whelan ◽  
J. J. Foxe ◽  
H. H. Bülthoff ◽  
...  

2016 ◽  
Vol 21 (1) ◽  
pp. 33-43 ◽  
Author(s):  
Sofia Ribeirinho Leite ◽  
Cory David Barker ◽  
Marc G. Lucas

2012 ◽  
Author(s):  
Nicole Scott ◽  
Apostolos Georgopoulos ◽  
Maria Sera

2007 ◽  
Author(s):  
Marco Sperduti ◽  
Ralf Veit ◽  
Andrea Caria ◽  
Paolo Belardinelli ◽  
Niels Birbaumer ◽  
...  

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