Oscillatory Mechanisms of Stimulus Processing and Selection in the Visual and Auditory Systems: State-of-the-Art, Speculations and Suggestions

Zoefel, Benedikt; VanRullen, Rufin

doi:10.3389/fnins.2017.00296

Cited by 70 publications

(76 citation statements)

References 120 publications

(219 reference statements)

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“…Suppression of unexpected events may be metabolically beneficial (van Atteveldt et al, 2015), and as such, has been suggested to be a hallmark of entrainment and the associated "rhythmic" mode of processing (Schroeder & Lakatos, 2009a;Zoefel & Vanrullen, 2017). Indeed, suppression off the beat has even be proposed to be a better indication of beat-based expectations than facilitation on the beat (Bouwer et al, in press;Breska & Deouell, 2017) Both the effects of beat-based and memory-based expectations were associated with musical training.…”

Section: Discussionmentioning

confidence: 99%

A silent disco: Differential effects of beat-based and pattern-based temporal expectations on persistent entrainment of low-frequency neural oscillations

Bouwer¹,

Fahrenfort²,

Millard³

et al. 2020

Preprint

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Psychology, Vrije Universiteit Amsterdam (h.a.slagter@vu.nl). AbstractTemporal expectations (e.g., predicting "when") facilitate sensory processing, and are suggested to rely on entrainment of low frequency neural oscillations to regular rhythmic input.However, temporal expectations can be formed not only in response to a regular beat, such as in music ("beat-based" expectations), but also based on a predictable pattern of temporal intervals of different durations ("memory-based" expectations). Here, we examined the neural mechanisms underlying beat-based and memory-based expectations, by assessing EEG activity and behavioral responses during silent periods following rhythmic auditory sequences that allowed for beat-based or memory-based expectations, or had random timing. In Experiment 1 (N = 32), participants rated how well probe tones at various time points fitted the previous rhythm. Beat-based expectations affected fitness ratings for at least two beat-cycles, while the effects of memory-based expectations subsided after the first expected time point in the silence window. In Experiment 2 (N = 27), using EEG, we found a CNV following the final tones of memory-based and random, but not beat-based sequences, suggesting that climbing neuronal activity may specifically reflect memory-based expectations. Moreover, we found enhanced power in the EEG signal at the beat frequency for beat-based sequences both during listening and the silence. For memory-based sequences, we found enhanced power at a frequency inherent to the memory-based pattern only during listening, but not during the silence, suggesting that ongoing entrainment of low frequency oscillations may be specific to beatbased expectations. Finally, using multivariate pattern decoding on the raw EEG data, we could classify above chance from the silence which type of sequence participants had heard before.Together, our results suggest that beat-based and memory-based expectations rely on entrainment and climbing neuronal activity, respectively.

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Section: Discussionmentioning

confidence: 99%

A silent disco: Differential effects of beat-based and pattern-based temporal expectations on persistent entrainment of low-frequency neural oscillations

Bouwer¹,

Fahrenfort²,

Millard³

et al. 2020

Preprint

View full text Add to dashboard Cite

show abstract

“…They support the view that beat-based expectations may allow the brain to go into the more efficient "rhythmic mode" of processing, instead of a continuous "vigilance mode" associated with non-periodic input. Rhythmic mode may be accompanied by automatic suppression of out of phase input when entrainment occurs (Schroeder & Lakatos, 2009;Zoefel & Vanrullen, 2017). Beat-based, but not memory-based expectations have indeed been associated with withdrawal of resources from unexpected moments in time, as apparent from immediate CNV resolution after expected time points for beat-based, but not memory-based expectations (Breska & Deouell, 2017b).…”

Section: Discussionmentioning

confidence: 99%

Beat-based and memory-based temporal expectations in rhythm: similar perceptual effects, different underlying mechanisms

Bouwer

Honing

Slagter

2019

Preprint

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Predicting the timing of incoming information allows the brain to optimize information processing in dynamic environments. Behaviorally, temporal expectations have been shown to facilitate processing of events at expected time points, such as sounds that coincide with the beat in musical rhythm. Yet, temporal expectations can develop based on different forms of structure in the environment, not just the regularity afforded by a musical beat. Little is still known about how different types of temporal expectations are neurally implemented and affect performance. Here, we orthogonally manipulated the periodicity and predictability of rhythmic sequences to examine the mechanisms underlying beat-based and memory-based temporal expectations, respectively. Behaviorally and using EEG, we looked at the effects of beat-based and memory-based expectations on auditory processing when rhythms were task relevant or task irrelevant. At expected time points, both beat-based and memory-based expectations facilitated target detection and led to attenuation of P1 and N1 responses, even when expectations were task-irrelevant (unattended). For beat-based expectations, we additionally found reduced target detection and enhanced N1 responses for events at unexpected time points (e.g., off-beat), regardless of the presence of memory-based expectations or task relevance. This latter finding supports the notion that periodicity selectively induces rhythmic fluctuations in neural excitability and furthermore indicates that while beat-based and memory-based expectations may similarly affect auditory processing of expected events, their underlying neural mechanisms may be different.

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“…There is a growing body of evidence for a rhythmic component of human perception and behaviour supported by neural oscillations (Benedetto et al, 2016;Fiebelkorn et al, 2013;Landau and Fries, 2012;VanRullen et al, 2011;Zoefel and VanRullen, 2017). Correspondingly, there is an increased interest in investigating how certain measures of performance (from the detection of simple stimuli such as pure tones, to more complex tasks such as speech comprehension) vary with the phase of ongoing neural oscillations (e.g., Baumgarten et al, 2015;Busch et al, 2009;Henry et al, 2014;Henry and Obleser, 2012;Ng et al, 2012;Riecke et al, , 2015aRiecke et al, , 2015bStrauß et al, 2015;Zoefel et al, 2018;Zoefel and Heil, 2013;Zoefel and VanRullen, 2015).…”

Section: Discussionmentioning

confidence: 99%

How to test for phasic modulation of neural and behavioural responses

Zoefel

Davis

Valente

et al. 2019

Preprint

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 The phase of neural oscillations modulates neural responses and behaviour  We test the ability of different methods to detect such a phase effect  We test how this ability changes with nature of effect and experimental parameters  Results represent groundwork for future investigations of oscillatory phase effects AbstractThe question whether perception or other processes depend on the phase of neural oscillations is a research topic that is rapidly gaining popularity. Importantly however, it is unknown which methods are optimally suited to evaluate the hypothesized phase effect. Using a simulation approach, we here test the ability of different methods to detect such an effect and reject an absent one. We reveal optimal methods for different parameters that characterise the phase effect or depend on the experimental design to test for it. We demonstrate that permutation-based methods perform better than parametric ones for all of the simulated parameters. The identity of the optimal parametric method varies with several parameters, in particular with the number of phase bins chosen for the analysis and the width of the phase effect. In contrast, the identity of the best permutation-based method is unaffected by changes in the simulated parameters. In sum, our study lays a foundation for optimized experimental designs and analyses in future studies investigating the role of neural phase for behaviour and neural function. We supply MATLAB code that can be used to identify the ideal method (among all of the methods tested) for a specific scientific hypothesis and set of experimental parameters.

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Oscillatory Mechanisms of Stimulus Processing and Selection in the Visual and Auditory Systems: State-of-the-Art, Speculations and Suggestions

Cited by 70 publications

References 120 publications

A silent disco: Differential effects of beat-based and pattern-based temporal expectations on persistent entrainment of low-frequency neural oscillations

A silent disco: Differential effects of beat-based and pattern-based temporal expectations on persistent entrainment of low-frequency neural oscillations

Beat-based and memory-based temporal expectations in rhythm: similar perceptual effects, different underlying mechanisms

How to test for phasic modulation of neural and behavioural responses

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