Rhythm perception: Speeding up or slowing down affects different subcomponents of the ERP P3 complex

Jongsma, M.L.A.; Meeuwissen, Esther; Vos, Piet G.; Maes, Roald

doi:10.1016/j.biopsycho.2007.02.003

Cited by 25 publications

(18 citation statements)

References 46 publications

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“…Unlike the CNV, there were no main effects of modality for P3. The P3 measured in the current study is consistent with previous research on rhythm perception (Besson, Faita, Czternasty, & Kutas, ; Jongsma, Desain, & Honing, ; Jongsma, Meeuwissen, Vos, & Maes, ), appearing after the onset of the final event in time discrimination tasks, indicating categorization, updating of the memory trace of the encoded time interval, or conscious perception of a temporal change (Linden, ; Polich, ; Snyder et al, ). There was a significant effect of whether the final event occurred earlier or later than expected.…”

Section: Discussionsupporting

confidence: 90%

How modality specific is processing of auditory and visual rhythms?

2015

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The present study used ERPs to test the extent to which temporal processing is modality specific or modality general. Participants were presented with auditory and visual temporal patterns that consisted of initial two- or three-event beginning patterns. This delineated a constant standard time interval, followed by a two-event ending pattern delineating a variable test interval. Participants judged whether they perceived the pattern as a whole to be speeding up or slowing down. The contingent negative variation (CNV), a negative potential reflecting temporal expectancy, showed a larger amplitude for the auditory modality compared to the visual modality but a high degree of similarity in scalp voltage patterns across modalities, suggesting that the CNV arises from modality-general processes. A late, memory-dependent positive component (P3) also showed similar patterns across modalities.

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Section: Discussionsupporting

confidence: 90%

How modality specific is processing of auditory and visual rhythms?

2015

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“…The pattern of results for this individual was therefore similar to the overall pattern found for experiment I, but performance was much poorer. It seems likely that this individual belongs to the previously reported group of "poor responders," who find it difficult to detect step changes in tempo and have been demonstrated to lack a corresponding electroencephalographic event-related potential P3 complex (Jongsma et al, 2007).…”

Section: Resultsmentioning

confidence: 87%

Temporal predictions based on a gradual change in tempo

Cope

Grube

Griffiths

2012

The Journal of the Acoustical Society of America

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Previous studies investigating sensitivity to step changes in tempo and prediction of tone onset time have generally utilized isochronous sequences. This study investigates subjects' ability to detect deviations from a gradual change in the tempo of a tone sequence (experiment 1) and their judgment of the perceptually optimal timing of this tone (experiment 2). In experiment 1, inter-onset-intervals within pairs of eight-tone sequences followed a geometric progression to create a gradual tempo change. In one sequence, the final tone was presented either earlier or later than specified by the progression. Subjects performed well at detecting deviations that exaggerated the tempo progression but poorly when it was counteracted. Experiment 2 used similar pairs except that the final tone was always presented earlier in one sequence than the other. Final interval length was adaptively adjusted to subjects' judgments; it was adjudged in best agreement with the progression when its length was roughly half way between the mathematically correct value and the length of the penultimate interval. The data support "multiple-look" and entrainment models of tempo sensitivity and suggest that temporal prediction is based less on the tempo contour of a whole sequence than on the duration of the preceding interval.

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“…The analysis of the target trial for hits is revealing in that a component with the same temporal and topographical characteristics as the standard P3 was elicited during the additional target trial duration in the absence of any stimulus changeover. Previous studies of rhythm perception have pointed to a link between increased P3 amplitudes and improved timing (Jongsma et al, 2007;Correa and Nobre, 2008). The fact that a fron-tal P3 was elicited during the target interval in the absence of a stimulus change indicates that this component is not stimulus driven but represents an active endogenous mechanism that traces the temporal structure of the task (Busse and Woldorff, 2003).…”

Section: Discussionmentioning

confidence: 97%

Uncovering the Neural Signature of Lapsing Attention: Electrophysiological Signals Predict Errors up to 20 s before They Occur

O’Connell

Dockree

Robertson

et al. 2009

Journal of Neuroscience

262

249

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The extent to which changes in brain activity can foreshadow human error is uncertain yet has important theoretical and practical implications. The present study examined the temporal dynamics of electrocortical signals preceding a lapse of sustained attention. Twenty-one participants performed a continuous temporal expectancy task, which involved continuously monitoring a stream of regularly alternating patterned stimuli to detect a rarely occurring target stimulus whose duration was 40% longer. The stimulus stream flickered at a rate of 25 Hz to elicit a steady-state visual-evoked potential (SSVEP), which served as a continuous measure of basic visual processing. Increasing activity in the ␣ band (8 -14 Hz) was found beginning ϳ20 s before a missed target. This was followed by decreases in the amplitude of two event-related components over a short pretarget time frame: the frontal P3 (3-4 s) and contingent-negative variation (during the target interval). In contrast, SSVEP amplitude before hits and misses was closely matched, suggesting that the efficacy of ongoing basic visual processing was unaffected. Our results show that the specific neural signatures of attentional lapses are registered in the EEG up to 20 s before an error.

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Rhythm perception: Speeding up or slowing down affects different subcomponents of the ERP P3 complex

Cited by 25 publications

References 46 publications

How modality specific is processing of auditory and visual rhythms?

How modality specific is processing of auditory and visual rhythms?

Temporal predictions based on a gradual change in tempo

Uncovering the Neural Signature of Lapsing Attention: Electrophysiological Signals Predict Errors up to 20 s before They Occur

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