Pre- and post-stimulus EEG patterns associated with the touch-induced illusory flash

Erp, J.B.F. van; Philippi, Tom G.; Winkel, Ksander N. de; Werkhoven, Peter

doi:10.1016/j.neulet.2014.01.010

Cited by 16 publications

(14 citation statements)

References 28 publications

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“…Additionally, the integration of stimuli depends on its relevance, for instance, a task-irrelevant sound associated with an attended visual stimuli will be more likely to be integrated compared to a task-irrelevant sound associated with an unattended visual stimulus (Guerreiro et al, 2010; van Erp et al, 2013; Talsma, 2015). Similar effects are found for visual and tactile stimuli (Philippi et al, 2008; Werkhoven et al, 2009; van Erp et al, 2014). These results show that top-down and bottom-up multisensory processes are closely interlinked.…”

Section: Discussion Of Findingssupporting

confidence: 69%

Effects of Aging in Multisensory Integration: A Systematic Review

Dieuleveult

Siemonsma

Erp

et al. 2017

Front. Aging Neurosci.

149

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Multisensory integration (MSI) is the integration by the brain of environmental information acquired through more than one sense. Accurate MSI has been shown to be a key component of successful aging and to be crucial for processes underlying activities of daily living (ADLs). Problems in MSI could prevent older adults (OA) to age in place and live independently. However, there is a need to know how to assess changes in MSI in individuals. This systematic review provides an overview of tests assessing the effect of age on MSI in the healthy elderly population (aged 60 years and older). A literature search was done in Scopus. Articles from the earliest records available to January 20, 2016, were eligible for inclusion if assessing effects of aging on MSI in the healthy elderly population compared to younger adults (YA). These articles were rated for risk of bias with the Newcastle-Ottawa quality assessment. Out of 307 identified research articles, 49 articles were included for final review, describing 69 tests. The review indicated that OA maximize the use of multiple sources of information in comparison to YA (20 studies). In tasks that require more cognitive function, or when participants need to adapt rapidly to a situation, or when a dual task is added to the experiment, OA have problems selecting and integrating information properly as compared to YA (19 studies). Additionally, irrelevant or wrong information (i.e., distractors) has a greater impact on OA than on YA (21 studies). OA failing to weigh sensory information properly, has not been described in previous reviews. Anatomical changes (i.e., reduction of brain volume and differences of brain areas’ recruitment) and information processing changes (i.e., general cognitive slowing, inverse effectiveness, larger time window of integration, deficits in attentional control and increased noise at baseline) can only partly explain the differences between OA and YA regarding MSI. Since we have an interest in successful aging and early detection of MSI issues in the elderly population, the identified tests form a good starting point to develop a clinically useful toolkit to assess MSI in healthy OA.

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Section: Discussion Of Findingssupporting

confidence: 69%

Effects of Aging in Multisensory Integration: A Systematic Review

Dieuleveult

Siemonsma

Erp

et al. 2017

Front. Aging Neurosci.

149

View full text Add to dashboard Cite

show abstract

“…Accumulating research has shown effects of prestimulus alpha power on perceptual decisions such as detection threshold, decisional biases or perceptual awareness [31][32][33][34][35][36] . Further, low alpha power was also shown to increase the occurrence of the sound-induced flash illusion 16,17,26 (though see Keil et al 16 for an effect in beta power). In our study, low prestimulus alpha power predicted a larger causal prior leading to stronger bidirectional interactions between audition and vision and audiovisual biases (see figure 5C, audiovisual weight index wAV).…”

Section: Discussionmentioning

confidence: 99%

“…- Figure 6 to appear about here -Given the prominent role of alpha oscillations in temporal binding 26,27 in visual and multisensory perception, we next investigated whether the prestimulus alpha phase influenced the causal prior or visual precision. Using a similar sort-and-binning approach as for prestimulus power, we computed a circular-linear correlation between alpha phase and causal prior (or visual precision) over deciles as a function of prestimulus time.…”

Section: Eeg: Effect Of Prestimulus Oscillations On the Causal Prior mentioning

confidence: 99%

“…We investigated whether prestimulus oscillatory power or phase over occipital electrodes (i.e. O1, O2, Oz, PO3, POz, PO4) 16,17,26 is related to the brain's prior binding tendency as quantified by the causal prior (i.e. pcommon) or the precision of the visual representation (i.e.…”

Section: Time-frequency Analysis Of the Effect Of Prestimulus Oscillamentioning

confidence: 99%

“…38 frequencies × 25 time points). First, based on previous research pointing towards a role of alpha, beta and gamma oscillations in the sound-induced illusion 16,17,26 , we investigated whether the oscillatory power in these bands prior to stimulus onset was correlated with pcommon or σV. For each point in time-frequency space, we sorted and binned the trials according to their oscillatory power (or phase for alpha frequency) into 10 deciles separately for each of the 32 conditions to control for any condition-specific effects (cf.…”

Section: Time-frequency Analysis Of the Effect Of Prestimulus Oscillamentioning

confidence: 99%

See 2 more Smart Citations

The neural dynamics of hierarchical Bayesian inference in multisensory perception

Rohe

Ehlis

Noppeney

2018

Preprint

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Transforming the barrage of sensory signals into a coherent multisensory percept relies on solving the binding problemdeciding whether signals come from a common cause and should be integrated, or instead be segregated. Human observers typically arbitrate between integration and segregation consistent with Bayesian Causal Inference, but the neural mechanisms remain poorly understood. We presented observers with audiovisual sequences that varied in the number of flashes and beeps. Combining Bayesian modelling and EEG representational similarity analyses, we show that the brain initially represents the number of flashes and beeps and their numeric disparity mainly independently. Later, it computes them by averaging the forced-fusion and segregation estimates weighted by the probabilities of common and independent cause models (i.e. model averaging). Crucially, prestimulus oscillatory alpha power and phase correlate with observers' prior beliefs about the world's causal structure that guide their arbitration between sensory integration and segregation.

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Perceptual Rhythms

VanRullen

2018

Stevens' Handbook of Experimental Psychology and Cognitive Neuroscience

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It is increasingly evident that brain function involves oscillatory activity in various frequency bands. This realization encouraged psychologists to consider that perception and cognition may operate periodically, as a succession of cycles mirroring the underlying oscillatory cycles. This idea, related to the age‐old notion of discrete perception, has resurfaced in recent years, fueled by advances in neuroscientific techniques. Contrary to earlier views of discrete perception as a unitary sampling rhythm affecting all perceptual and cognitive functions, contemporary evidence points not to one but several rhythms of perception that may depend on the sensory modality, the task, the stimulus, the brain region(s) involved, or the state of the subject. In the visual domain for example, a sensory alpha rhythm (∼10 Hz) may coexist with at least one more rhythm performing attentional sampling around 7 Hz. How these multiple periodic functions coordinate with each other and how internal sampling rhythms coordinate with overt sampling behavior are key questions for the future.

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Pre- and post-stimulus EEG patterns associated with the touch-induced illusory flash

Cited by 16 publications

References 28 publications

Effects of Aging in Multisensory Integration: A Systematic Review

Effects of Aging in Multisensory Integration: A Systematic Review

The neural dynamics of hierarchical Bayesian inference in multisensory perception

Perceptual Rhythms

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