Duration estimation entails predicting when

Wassenhove, Virginie van; Lecoutre, Lucille

doi:10.1016/j.neuroimage.2014.11.005

Cited by 27 publications

(16 citation statements)

References 110 publications

(159 reference statements)

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“…N1P2) reflect the degree of temporal deviance from a refer-ence duration. This mechanism was found to be valid for both shorter and longer comparison intervals relative to a standard interval (Kononowicz and Van Rijn, 2014;Mento et al, 2013;Van Wassenhove and Lecoutre, 2015). Our results indicated a similar pattern, but for the N1 component.…”

Section: Discussionsupporting

confidence: 77%

N1-P2: Neural markers of temporal expectation and response discrimination in interval timing

Duzcu¹,

Özkurt²,

Mapelli³

et al. 2019

Acta Neurobiologiae Experimentalis

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Humans use temporal regularities in their daily life to act in accordance with future events in the most efficient way. To achieve this, humans build temporal expectations and determine a template action that is in line with those expectations. In this temporal trisection study, we aimed to study the neurophysiological counterparts of temporal expectation and response discrimination. We investigated amplitude variations of early event-related potentials (ERPs) while manipulating time intervals.We measured temporal expectation-related attenuation of neural activity and response discrimination processes in N1 and P2 ERP components. Results showed that the amplitude of the N1 component was attenuated for the predicted task-relevant temporal location of a response decision. The P2 amplitude, in contrast, was enhanced for a discriminated response in comparison to a template response. The present study supports a link between the different functional associations of the N1 and P2 components within the requirements of a timing task. N1-related amplitude modulation can determine a change in expectation level during timing. The amplitude regulation of the P2 component, in contrast, explains temporal discrimination in both expected and unexpected temporal locations. In addition to expectation-related modulation, our results suggest an additional regulation of the N1 amplitude that is linked to attention. The effect was observed in instances that included a prediction error of a task-relevant temporal location for a response decision. In conclusion, our study contributes to the growing neurocognitive literature on interval timing by capturing different aspects of a timing task; namely, N1-related expectation and P2-related response discrimination processes.

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Section: Discussionsupporting

confidence: 77%

N1-P2: Neural markers of temporal expectation and response discrimination in interval timing

Duzcu¹,

Özkurt²,

Mapelli³

et al. 2019

Acta Neurobiologiae Experimentalis

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“…5A ). Activity between 80–150 ms after M 2 may be related to a response to the fixed T 2 of 200 ms, such as the comparison 27 of T 1 in memory and T 2 under encoding, ramping activity 28 , or post-comparison evoked potential 29 in the TPJ after M 2 . Although dummy presentations were included within the trial blocks, frequent presentation of the 200-ms interval formed a kind of standard interval that made participants implicitly sensitive to deviations from it.…”

Section: Discussionmentioning

confidence: 99%

Spatiotemporal brain dynamics of auditory temporal assimilation

Hironaga

Mitsudo

Hayamizu

et al. 2017

Sci Rep

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Time is a fundamental dimension, but millisecond-level judgments sometimes lead to perceptual illusions. We previously introduced a “time-shrinking illusion” using a psychological paradigm that induces auditory temporal assimilation (ATA). In ATA, the duration of two successive intervals (T1 and T2), marked by three auditory stimuli, can be perceived as equal when they are not. Here, we investigate the spatiotemporal profile of human temporal judgments using magnetoencephalography (MEG). Behavioural results showed typical ATA: participants judged T1 and T2 as equal when T2 − T1 ≤ +80 ms. MEG source-localisation analysis demonstrated that regional activity differences between judgment and no-judgment conditions emerged in the temporoparietal junction (TPJ) during T2. This observation in the TPJ may indicate its involvement in the encoding process when T1 ≠ T2. Activation in the inferior frontal gyrus (IFG) was enhanced irrespective of the stimulus patterns when participants engaged in temporal judgment. Furthermore, just after the final marker, activity in the IFG was enhanced specifically for the time-shrinking pattern. This indicates that activity in the IFG is also related to the illusory perception of time-interval equality. Based on these observations, we propose neural signatures for judgments of temporal equality in the human brain.

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“…Several prior studies have investigated the various aspects of ERPs or their magnetic counterparts in the estimation of durations Noguchi and Kakigi, 2006;van Wassenhove and Lecoutre, 2015]. In contrast to induced oscillation amplitude modulations these measures are estimated from the real part of the signal and reflect the mixture of phase and amplitude effects.…”

Section: The Role Of Evoked Responses and Contingent Negative Variatimentioning

confidence: 99%

The role of cortical beta oscillations in time estimation

Kulashekhar

Pekkola

Palva

2016

Human Brain Mapping

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Estimation of time is central to perception, action, and cognition. Human functional magnetic resonance imaging (fMRI) and positron emission topography (PET) have revealed a positive correlation between the estimation of multi-second temporal durations and neuronal activity in a circuit of sensory and motor areas, prefrontal and temporal cortices, basal ganglia, and cerebellum. The systems-level mechanisms coordinating the collective neuronal activity in these areas have remained poorly understood. Synchronized oscillations regulate communication in neuronal networks and could hence serve such coordination, but their role in the estimation and maintenance of multi-second time intervals has remained largely unknown. We used source-reconstructed magnetoencephalography (MEG) to address the functional significance of local neuronal synchronization, as indexed by the amplitudes of cortical oscillations, in time-estimation. MEG was acquired during a working memory (WM) task where the subjects first estimated and then memorized the durations, or in the contrast condition, the colors of dynamic visual stimuli. Time estimation was associated with stronger beta (β, 14 - 30 Hz) band oscillations than color estimation in sensory regions and attentional cortical structures that earlier have been associated with time processing. In addition, the encoding of duration information was associated with strengthened gamma- (γ, 30 - 120 Hz), and the retrieval and maintenance with alpha- (α, 8 - 14 Hz) band oscillations. These data suggest that β oscillations may provide a mechanism for estimating short temporal durations, while γ and α oscillations support their encoding, retrieval, and maintenance in memory. Hum Brain Mapp 37:3262-3281, 2016. © 2016 Wiley Periodicals, Inc.

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Duration estimation entails predicting when

Cited by 27 publications

References 110 publications

N1-P2: Neural markers of temporal expectation and response discrimination in interval timing

N1-P2: Neural markers of temporal expectation and response discrimination in interval timing

Spatiotemporal brain dynamics of auditory temporal assimilation

The role of cortical beta oscillations in time estimation

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