Multisensory Integration in Self Motion Perception

Greenlee, Mark W.; Frank, Sebastian M.; Kaliuzhna, Mariia; Blanke, Olaf; Bremmer, Frank; Churan, Jan; Cuturi, Luigi F.; MacNeilage, Paul R.; Smith, Andrew T.

doi:10.1163/22134808-00002527

Cited by 54 publications

(74 citation statements)

References 153 publications

(135 reference statements)

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“…We revealed the presence of some kind of motion sensitivity also in a ventral region, the PPA, which is typically not activated by visual motion in the absence of ecological scene-like stimuli (Cardin & Smith, 2010;Greenlee et al, 2016;Pitzalis et al, 2010;Pitzalis, Sdoia, et al, 2013). The PPA, although not activated on average by motion conditions relative to the Static condition, revealed a preference for the Disjoint condition relative to Onboard and Offboard.…”

Section: Cortical Areas Preferring Disjoint Movies (Inducing Objectmentioning

confidence: 68%

“…, Amunts,Mohlberg, & Zilles, 2006;Fasold et al, 2002;Friberg, Olsen, Roland, Paulson, & Lassen, 1985;Indovina et al, 2005), or visual stimuli(Cardin & Smith, 2010). Thus, previously reported activations in posterior lateral sulcus during self-motion induced by visual motion(Cardin & Smith, 2010;Huang et al, 2015;Uesaki & Ashida, 2015) might fall within PIC, or at least partially overlap with PIC, rather than PIVCFrank, Sun, et al, 2016;Frank, Wirth, & Greenlee, 2016;Greenlee et al, 2016). PIVC is located more anteriorly, in correspondence of the lateral end of the central sulcus.…”

mentioning

confidence: 75%

“…Finally, area VIP (but not MT or V6) shows vestibular responses and appears to integrate visual and vestibular cues to direct self-motion (Billington & Smith, 2015;Greenlee et al, 2016;Smith et al, 2012).…”

Section: Neural Basis Of the Flow-parsing Phenomenonmentioning

confidence: 96%

“…But recent evidence has showed that along the insula in humans there are two motion regions, named PIVC and PIC . PIVC is located might fall within PIC, or at least partially overlap with PIC, rather than PIVC Frank, Sun, et al, 2016;Frank, Wirth, & Greenlee, 2016;Greenlee et al, 2016). Here, as we used a pure visual stimulation, we refer to this region as PIC area.…”

Section: Area Picmentioning

confidence: 99%

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Neural bases of self‐ and object‐motion in a naturalistic vision

Pitzalis

Serra

Sulpizio

et al. 2019

Human Brain Mapping

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To plan movements toward objects our brain must recognize whether retinal displacement is due to self-motion and/or to object-motion. Here, we aimed to test whether motion areas are able to segregate these types of motion. We combined an eventrelated functional magnetic resonance imaging experiment, brain mapping techniques, and wide-field stimulation to study the responsivity of motion-sensitive areas to pure and combined self-and object-motion conditions during virtual movies of a train running within a realistic landscape. We observed a selective response in MT to the pure object-motion condition, and in medial (PEc, pCi, CSv, and CMA) and lateral (PIC and LOR) areas to the pure self-motion condition. Some other regions (like V6) responded more to complex visual stimulation where both object-and self-motion were present.Among all, we found that some motion regions (V3A, LOR, MT, V6, and IPSmot) could extract object-motion information from the overall motion, recognizing the real movement of the train even when the images remain still (on the screen), or moved, because of self-movements. We propose that these motion areas might be good candidates for the "flow parsing mechanism," that is the capability to extract object-motion information from retinal motion signals by subtracting out the optic flow components. K E Y W O R D Sarea V6, brain mapping, flow parsing, fMRI, optic flow, wide-field

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Section: Cortical Areas Preferring Disjoint Movies (Inducing Objectmentioning

confidence: 68%

mentioning

confidence: 75%

Section: Neural Basis Of the Flow-parsing Phenomenonmentioning

confidence: 96%

Section: Area Picmentioning

confidence: 99%

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Neural bases of self‐ and object‐motion in a naturalistic vision

Pitzalis

Serra

Sulpizio

et al. 2019

Human Brain Mapping

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“…This information is of critical relevance for guiding locomotion and for processing self-motion signals (for a recent review, see Greenlee et al 2016). Despite the obvious importance of vestibular signals, the cortical organization of the vestibular system is not yet well established.…”

Section: In This Paper We Examine Vestibular and Visual Processing Atmentioning

confidence: 99%

Visual-vestibular processing in the human Sylvian fissure

Frank

Wirth

Greenlee

2016

Journal of Neurophysiology

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Frank SM, Wirth AM, Greenlee MW. Visual-vestibular processing in the human Sylvian fissure. J Neurophysiol 116: 263-271, 2016. First published April 13, 2016 doi:10.1152/jn.00009.2016.-Unlike other sensory systems, the cortical organization of the human vestibular system is not well established. A central role is assumed for the region of the posterior Sylvian fissure, close to the posterior insula. At this site, activation during vestibular stimulation has been observed in previous imaging studies and labeled as the parieto-insular vestibular cortex area (PIVC). However, vestibular responses are found in other parts of the Sylvian fissure as well, including a region that is referred to as the posterior insular cortex (PIC). The anatomical and functional relationship between PIC and PIVC is still poorly understood, because both areas have never been compared in the same participants. Therefore, to better understand the apparently more complex organization of vestibular cortex in the Sylvian fissure, we employed caloric and visual object motion stimuli during functional magnetic resonance imaging and compared location and function of PIVC and PIC in the same participants. Both regions responded to caloric vestibular stimulation, but only the activation pattern in right PIVC reliably represented the direction of the caloric stimulus. Conversely, activity in PIVC was suppressed during stimulation with visual object motion, whereas PIC showed activation. Area PIC is located at a more posterior site in the Sylvian fissure than PIVC. Our results suggest that PIVC and PIC should be considered separate areas in the vestibular Sylvian network, both in terms of location and function. area PIC; area PIVC; caloric vestibular stimulation; Sylvian fissure; vestibular cortex NEW & NOTEWORTHY In this paper we examine vestibular and visual processing at the center of human vestibular cortex in the Sylvian fissure. We find that two areas, referred to as parietoinsular vestibular cortex (PIVC) and posterior insular cortex (PIC), are located in the Sylvian fissure and exhibit different functional specializations. Our results suggest a more complex organization at the putative core of human vestibular cortex than previously assumed.A CENTRAL FUNCTION OF THE vestibular sensory system is to signal our position and acceleration in space. This information is of critical relevance for guiding locomotion and for process- There is accumulating evidence that the potential hub of the cortical vestibular network is located in a region including the posterior part of the Sylvian fissure (also called lateral sulcus), perisylvian cortex, and the posterior insula. At this site, functional imaging studies in humans found activation during vestibular stimulation (Bense et al. 2001;Dieterich et al. 2003;Eickhoff et al. 2006;Fasold et al. 2002;Lobel et al. 1998) and labeled it the parieto-insular vestibular cortex (PIVC), following terminology in the primate brain (Akbarian et al. 1988;Chen et al. 2010;Grüsser et al. 1990; Shinder and Newlands 2014...

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Egomotion‐related visual areas respond to active leg movements

Serra

Galletti

Marco

et al. 2019

Human Brain Mapping

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Monkey neurophysiology and human neuroimaging studies have demonstrated that passive viewing of optic flow stimuli activates a cortical network of temporal, parietal, insular, and cingulate visual motion regions. Here, we tested whether the human visual motion areas involved in processing optic flow signals simulating self-motion are also activated by active lower limb movements, and hence are likely involved in guiding human locomotion. To this aim, we used a combined approach of taskevoked activity and resting-state functional connectivity by fMRI. We localized a set of six egomotion-responsive visual areas (V6+, V3A, intraparietal motion/ventral intraparietal [IPSmot/VIP], cingulate sulcus visual area [CSv], posterior cingulate sulcus area [pCi], posterior insular cortex [PIC]) by using optic flow. We tested their response to a motor task implying long-range active leg movements. Results revealed that, among these visually defined areas, CSv, pCi, and PIC responded to leg movements (visuomotor areas), while V6+, V3A, and IPSmot/VIP did not (visual areas).Functional connectivity analysis showed that visuomotor areas are connected to the cingulate motor areas, the supplementary motor area, and notably to the medial portion of the somatosensory cortex, which represents legs and feet. We suggest that CSv, pCi, and PIC perform the visual analysis of egomotion-like signals to provide sensory information to the motor system with the aim of guiding locomotion. K E Y W O R D S brain mapping, CSv, functional connectivity, locomotion, optic flow, self-motion

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Multisensory Integration in Self Motion Perception

Cited by 54 publications

References 153 publications

Neural bases of self‐ and object‐motion in a naturalistic vision

Neural bases of self‐ and object‐motion in a naturalistic vision

Visual-vestibular processing in the human Sylvian fissure

Egomotion‐related visual areas respond to active leg movements

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