Toward a Dynamic Probabilistic Model for Vestibular Cognition

Ellis, Andrew; Mast, Fred W.

doi:10.3389/fpsyg.2017.00138

Cited by 10 publications

(13 citation statements)

References 48 publications

(58 reference statements)

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“…The idea that vestibular areas not only process physical motion of one's body but also supply a computational mechanism for imagined changes of self-location has fueled research on vestibular cognition in the last couple of years (Ellis and Mast, 2017;Mast et al, 2014) . Several studies have attempted to influence participants' egocentric mental rotation ability through vestibular stimulation, with varying outcomes (Deroualle et al, 2015;Dilda et al, 2011;Falconer and Mast, 2012;Lenggenhager et al, 2008;van Elk and Blanke, 2014) .…”

Section: Discussionmentioning

confidence: 99%

“…Research in various sensory modalities has shown that the neural architecture for such mental simulations comprises similar neural pathways as those involved in actual perception and overt action (Kosslyn et al, 2001) . In particular, it has been suggested that the vestibular system, which codes actual self-motion and self-orientation in space, is likely involved in mental changes of self-location (Ellis and Mast, 2017;Lenggenhager and Lopez, 2015;Mast et al, 2014) . This is supported by several behavioral studies investigating the link between vestibular processing and egocentric mental rotation in patients with vestibular deficits (Candidi et al, 2013;Grabherr et al, 2011) , but also in healthy participants during real or artificial vestibular stimulation (Deroualle et al, 2015;Dilda et al, 2011;Falconer and Mast, 2012;Ferrè et al, 2014;Grabherr et al, 2007;Grabherr and Mast, 2010;Lenggenhager et al, 2008;Pavlidou et al, 2017;van Elk and Blanke, 2014) .…”

Section: Introductionmentioning

confidence: 99%

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Shared neural mechanisms between imagined and perceived egocentric motion – A combined GVS and fMRI study

Macauda

Moisa

Mast

et al. 2019

Cortex

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Many cognitive and social processes involve mental simulations of a change in perspective.Behavioral studies suggest that such egocentric mental rotations rely on brain areas that are also involved in processing actual self-motion, thus depending on vestibular input. In a combined galvanic vestibular stimulation (GVS) and functional Magnetic Resonance Imaging (fMRI) study, we investigated the brain areas that underlie both simulated changes in self-location and the processing of vestibular stimulation within the same individuals.Participants performed an egocentric mental rotation task, an object-based mental rotation task, or a pure lateralization task during GVS or sham stimulation. At the neural level, we expected an overlap between brain areas activated during vestibular processing and egocentric mental rotation (against object-based mental rotation) within area OP2 and the Posterior Insular Cortex (PIC), two core brain regions involved in vestibular processing.The fMRI data showed a small overlap within area OP2 and a larger overlap within the PIC for both egocentric mental rotation against object-based mental rotation and vestibular processing. GVS did not influence the ability to perform egocentric mental rotation.Our results provide evidence for shared neural mechanisms underlying perceived and simulated self-motion. We conclude that mental rotation of one's body involves neural activity in the PIC and area OP2, but the behavioral results also suggest that those mental simulations of one's body might be robust to modulatory input from vestibular stimulation.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Shared neural mechanisms between imagined and perceived egocentric motion – A combined GVS and fMRI study

Macauda

Moisa

Mast

et al. 2019

Cortex

Self Cite

View full text Add to dashboard Buy / Rent full text

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“…This type of probabilistic graphical model can be used for various tasks ( 34 ). For example, imagined movement may correspond to running this model in an off-line simulation mode ( 35 – 37 ). In order to infer head velocity, a filtering algorithm performs sequential Bayesian inference, i.e., the brain combines prior knowledge with sensory data to obtain a posterior estimate.…”

Section: A Computational Model Of Sensory Inferencementioning

confidence: 99%

“…This only leads to improved inference if an accurate process model is used. The process model used for sensory inference during active movement can be used off-line in the service of mental simulations, i.e., to imagine self-motion ( 34 , 35 ). Indeed, there is evidence for the involvement of the vestibular system in spatial perspective taking tasks ( 50 , 51 ).…”

Section: Possible Effects Of Cognitive Training On Sensory Inferencementioning

confidence: 99%

Cognitive Rehabilitation in Bilateral Vestibular Patients: A Computational Perspective

et al. 2018

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There is evidence that vestibular sensory processing affects, and is affected by, higher cognitive processes. This is highly relevant from a clinical perspective, where there is evidence for cognitive impairments in patients with peripheral vestibular deficits. The vestibular system performs complex probabilistic computations, and we claim that understanding these is important for investigating interactions between vestibular processing and cognition. Furthermore, this will aid our understanding of patients’ self-motion perception and will provide useful information for clinical interventions. We propose that cognitive training is a promising way to alleviate the debilitating symptoms of patients with complete bilateral vestibular loss (BVP), who often fail to show improvement when relying solely on conventional treatment methods. We present a probabilistic model capable of processing vestibular sensory data during both passive and active self-motion. Crucially, in our model, knowledge from multiple sources, including higher-level cognition, can be used to predict head motion. This is the entry point for cognitive interventions. Despite the loss of sensory input, the processing circuitry in BVP patients is still intact, and they can still perceive self-motion when the movement is self-generated. We provide computer simulations illustrating self-motion perception of BVP patients. Cognitive training may lead to more accurate and confident predictions, which result in decreased weighting of sensory input, and thus improved self-motion perception. Using our model, we show the possible impact of cognitive interventions to help vestibular rehabilitation in patients with BVP.

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“…Further insight may be gained by combining cognitive process models with EEG recordings, allowing a more fine-grained distinction between processes operating prior to stimulus presentation and processes operating during the accumulation of sensory evidence. Ellis and Mast [21] have previously argued that the vestibular system is well suited for investigating the connection between cognition and perception, and we claim that vestibular decision making represents a particularly promising paradigm for future research.…”

Section: Discussionmentioning

confidence: 97%

Vestibular cognition: the effect of prior belief on vestibular perceptual decision making

2017

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Vestibular cognition is a growing field of interest and relatively little is known about the underlying mechanisms. We tested the effect of prior beliefs about the relative probability (50:50 vs. 80:20) of motion direction (yaw rotation) using a direction discrimination task. We analyzed choices individually with a logistic regression model and together with response times using a cognitive process model. The results show that self-motion perception is altered by prior belief, leading to a shift of the psychometric function, without a loss of sensitivity. Hierarchical drift diffusion analysis showed that at the group level, prior belief manifests itself as an offset to the drift criterion. However, individual model fits revealed that participants vary in how they use cognitive information in perceptual decision making. At the individual level, the response bias induced by a prior belief resulted either in a change in starting point (prior to evidence accumulation) or drift rate (during evidence accumulation). Participants incorporate prior belief in a self-motion discrimination task, albeit in different ways.

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Toward a Dynamic Probabilistic Model for Vestibular Cognition

Cited by 10 publications

References 48 publications

Shared neural mechanisms between imagined and perceived egocentric motion – A combined GVS and fMRI study

Shared neural mechanisms between imagined and perceived egocentric motion – A combined GVS and fMRI study

Cognitive Rehabilitation in Bilateral Vestibular Patients: A Computational Perspective

Vestibular cognition: the effect of prior belief on vestibular perceptual decision making

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