Event-related potentials in the auditory oddball as a function of EEG alpha phase at stimulus onset

Barry, Robert J.; Rushby, Jacqueline A.; Johnstone, Stuart J.; Clarke, Adam R.; Croft, Rodney J.; Lawrence, Carlie A.

doi:10.1016/j.clinph.2004.06.004

Cited by 63 publications

(42 citation statements)

References 23 publications

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“…Considering the narrow bands summed in the present delta, theta and alpha bands, some parallels can be drawn between Barry et al (2010) and the present results in delta and theta, but it is difficult to relate those results to alpha. In our previous alpha study (Barry et al, 2004) there was no difference in the occurrence of negativity vs. positivity, compatible with the present findings. Negative driving occurred significantly more often than positive driving, an effect that was not apparent here, and waxing occurred significantly more often than waning phases, an effect contrary to that found here.…”

Section: Preferred Brain Statessupporting

confidence: 93%

“…For example, although the phase effects in negativity and negative driving are perhaps broadly compatible with previous findings, the prestimulus RMS enhancements in waxing phases found here differ substantially from the decreases previously noted by Barry et al (2010) at 2, 4 and 10 Hz. The alpha study of Barry et al (2004) found more alpha with negativity, and no effect of negative driving, compatible with the present results. Phase effects in the RMS changes at stimulus onset are also difficult to compare.…”

Section: Rms Amplitudessupporting

confidence: 92%

“…This provides a framework for evaluating the present results in the context of the existing literature. It suggests that substantial differences will be found compared with our previous alpha study (Barry et al, 2004). Generalising this outcome beyond the alpha band to our previous narrowband studies implies that results here will bear little relation to those previous studies.…”

Section: Discussioncontrasting

confidence: 46%

“…We have previously examined alpha effects in the fixed-ISI equiprobable Go/NoGo task, which we described then as an auditory oddball task with 50% target probability (Barry et al, 2004). There was no difference in the occurrence of negativity vs. positivity, but negative driving occurred significantly more often than positive driving, and waxing occurred significantly more often than waning phases.…”

Section: Fig 1 About Herementioning

confidence: 99%

“…Negative/positive driving, comparing (A+D) versus (B+C), assesses the change in cortical negativity (increasing vs. decreasing), accommodating other ERP effects reported for stimuli presented at the positive-going zero crossing of alpha activity (Jansen & Brandt, 1991;Rémond & Lesèvre, 1967). A third dimension, waxing (A+C) versus waning (B+D), was introduced by Barry et al (2004) in a study of alpha phase effects, and refers to the change in amplitude (increasing vs. decreasing), regardless of its polarity. These three dimensions represent a set of orthogonal (statistically independent) comparisons among the means of the four quartiles of phase activity defined in Figure 1.…”

Section: Introductionmentioning

confidence: 99%

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Preferred EEG brain states at stimulus onset in a fixed interstimulus interval equiprobable auditory Go/NoGo task: A definitive study

Barry

Blasio

Pascalis

et al. 2014

International Journal of Psychophysiology

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This study examined the occurrence of preferred EEG phase states at stimulus onset in an equiprobable auditory Go/NoGo task with a fixed interstimulus interval, and their effects on the resultant event-related potentials (ERPs). We used a sliding short-time FFT decomposition of the EEG at Cz for each trial to assess prestimulus EEG activity in the delta, theta, alpha and beta bands. We determined the phase of each 2. Hz narrow-band contributing to these four broad bands at 125. ms before each stimulus onset, and for the first time, avoided contamination from poststimulus EEG activity. This phase value was extrapolated 125. ms to obtain the phase at stimulus onset, combined into the broad-band phase, and used to sort trials into four phase groups for each of the four broad bands. For each band, ERPs were derived for each phase from the raw EEG activity at 19 sites. Data sets from each band were separately decomposed using temporal Principal Components Analyses with unrestricted VARIMAX rotation to extract N1-1, PN, P2, P3, SW and LP components. Each component was analysed as a function of EEG phase at stimulus onset in the context of a simple conceptualisation of orthogonal phase effects (cortical negativity vs. positivity, negative driving vs. positive driving, waxing vs. waning). The predicted non-random occurrence of phase-defined brain states was confirmed. The preferred states of negativity, negative driving, and waxing were each associated with more efficient stimulus processing, as reflected in amplitude differences of the components. The present results confirm the existence of preferred brain states and their impact on the efficiency of brain dynamics in perceptual and cognitive processing. AbstractThis study examined the occurrence of preferred EEG phase states at stimulus onset in an equiprobable auditory Go/NoGo task with a fixed interstimulus interval, and their effects on the resultant event-related potentials (ERPs). We used a sliding short-time FFT decomposition of the EEG at Cz for each trial to assess prestimulus EEG activity in the delta, theta, alpha and beta bands. We determined the phase of each 2 Hz narrow-band contributing to these four broad bands at 125 ms before each stimulus onset, and for the first time, avoided contamination from postimulus EEG activity. This phase value was extrapolated 125 ms to obtain the phase at stimulus onset, combined into the broad-band phase, and used to sort trials into four phase groups for each of the four broad bands. For each band, ERPs were derived for each phase from the raw EEG activity at 19 sites. Data sets from each band were separately decomposed using temporal Principal Components Analyses with unrestricted Varimax rotation to extract N1-1, PN, P2, P3, SW and LP components. Each component was analysed as a function of EEG phase at stimulus onset in the context of a simple conceptualisation of orthogonal phase effects (cortical negativity vs. positivity, negative driving vs. positive driving, waxing vs. waning). The predicted nonrandom o...

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Section: Preferred Brain Statessupporting

confidence: 93%

Section: Rms Amplitudessupporting

confidence: 92%

Section: Discussioncontrasting

confidence: 46%

Section: Fig 1 About Herementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Preferred EEG brain states at stimulus onset in a fixed interstimulus interval equiprobable auditory Go/NoGo task: A definitive study

Barry

Blasio

Pascalis

et al. 2014

International Journal of Psychophysiology

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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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A background EEG removal method combining PCA with multivariate empirical mode decomposition for event‐related potential measurements

Kawaguchi

Kume

Kobayashi

2013

IEEJ Transactions Elec Engng

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The event‐related potential (ERP) is a neural response to an internal or external event, and can be obtained by averaging time‐locked scalp potentials. The ERP measured in a single trial often has a low signal‐to‐noise ratio (SNR) because of the relatively large background due to the rhythmic electroencephalogram (EEG) noise. This paper proposes a novel method to enhance ERPs by combining principal component analysis (PCA) with multivariate empirical mode decomposition (M‐EMD). EMD is a data‐driven time–frequency analysis of nonlinear and nonstationary signals, and M‐EMD is its multivariate extension. In the proposed method, PCA reduces the data dimensions, while M‐EMD removes the relatively large background EEGs. The performance of the method is evaluated with simulated and measured P300 ERP components obtained from a visual oddball experiment. The results demonstrate that the proposed method can substantially reduce the background EEGs and improve the SNR of P300s. © 2013 Institute of Electrical Engineers of Japan. Published by John Wiley & Sons, Inc.

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Event-related potentials in the auditory oddball as a function of EEG alpha phase at stimulus onset

Cited by 63 publications

References 23 publications

Preferred EEG brain states at stimulus onset in a fixed interstimulus interval equiprobable auditory Go/NoGo task: A definitive study

Preferred EEG brain states at stimulus onset in a fixed interstimulus interval equiprobable auditory Go/NoGo task: A definitive study

Perceptual Rhythms

A background EEG removal method combining PCA with multivariate empirical mode decomposition for event‐related potential measurements

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