2004
DOI: 10.1016/j.jphysparis.2004.03.018
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Multisensory integration: methodological approaches and emerging principles in the human brain

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Cited by 333 publications
(240 citation statements)
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References 86 publications
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“…electrode Pz). However, since these authors were mainly interested in crossmodal synchrony effects during the RHI, they restricted their analysis to high-beta and low-gamma bands (20-100 Hz); frequency bands known to be associated with bimodal integration (for a review, see Calvert and Thesen, 2004). As such, no direct comparison can be made with our results that show illusory hand ownership to be selectively associated with mu-band power suppression.…”
Section: Electrophysiology Of Ownershipmentioning
confidence: 76%
“…electrode Pz). However, since these authors were mainly interested in crossmodal synchrony effects during the RHI, they restricted their analysis to high-beta and low-gamma bands (20-100 Hz); frequency bands known to be associated with bimodal integration (for a review, see Calvert and Thesen, 2004). As such, no direct comparison can be made with our results that show illusory hand ownership to be selectively associated with mu-band power suppression.…”
Section: Electrophysiology Of Ownershipmentioning
confidence: 76%
“…The parallel influx of information through several sensory pathways jointly contributes to the detection and identification of objects and to the selection of appropriate behavioral responses. One of the main goals of contemporary research on multi-sensory processing is to better understand how the different modalities contribute to perception in humans (Calvert & Thesen, 2004). Accordingly, the study of cognitive processing subserving object perception will benefit from an approach where dynamic interactions are studied not only within a single sensory system, but between perceptual systems.…”
Section: Discussionmentioning
confidence: 99%
“…Human eventrelated potential (ERP) recordings have demonstrated that unisensory areas can be engaged in cross-modal processing at both very early and late time periods after stimulus onset (Giard and Peronnet, 1999;Molholm et al, 2002;Murray et al, 2005;Meylan and Murray, 2007;Talsma et al, 2007). Furthermore, the cross-modal interactions in these brain regions can be modulated by various factors such as temporal and spatial congruence of stimuli, extent of content association, and attention (Calvert and Thesen, 2004;Busse et al, 2005;Teder-SĂ€lejĂ€rvi et al, 2005;Baier et al, 2006;Johnson and Zatorre, 2006). Thus, the emerging brain model of multisensory integration is of a dynamic and highly interactive network of brain regions.…”
Section: Introductionmentioning
confidence: 99%