The Attention Modulation on Timing: An Event-Related Potential Study

Liu, Yunzhe; Zhang, Dandan; Ma, Jing; Li, Dan; Yin, Huazhan; Luo, Yuejia

doi:10.1371/journal.pone.0066190

Cited by 22 publications

(17 citation statements)

References 39 publications

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“…It is distributed over the fronto-central and parieto-occipital regions of the scalp, but its maximal is over the frontal area. It is elicited by visual stimuli and modulated by attention (Liu et al, 2013 ). Its amplitude is suppressed by increasing the attentiveness (Kanske et al, 2011 ) and more frequent target stimuli (Lu et al, 1992 ).…”

Section: Methodsmentioning

confidence: 99%

N-Back Related ERPs Depend on Stimulus Type, Task Structure, Pre-processing, and Lab Factors

Shalchy

Pergher

Pahor

et al. 2020

Front. Hum. Neurosci.

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The N-Back, a common working memory (WM) updating task, is increasingly used in basic and applied psychological research. As such, an increasing number of electroencephalogram (EEG) studies have sought to identify the electrophysiological signatures of N-Back task performance. However, stimulus type, task structure, pre-processing methods, and differences in the laboratory environment, including the EEG recording setup employed, greatly vary across studies, which in turn may introduce inconsistencies in the obtained results. Here we address this issue by conducting nine different variations of an N-Back task manipulating stimulus type and task structure. Furthermore, we explored the effect of the pre-processing method used and differences in the laboratory environment. Results reveal significant differences in behavioral and electrophysiological signatures in response to N-Back stimulus type, task structure, pre-processing method, and laboratory environment. In conclusion, we suggest that experimental factors, analysis pipeline, and laboratory differences, which are often ignored in the literature, need to be accounted for when interpreting findings and making comparisons across studies.

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Section: Methodsmentioning

confidence: 99%

N-Back Related ERPs Depend on Stimulus Type, Task Structure, Pre-processing, and Lab Factors

Shalchy

Pergher

Pahor

et al. 2020

Front. Hum. Neurosci.

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“…The former represents the selection dimensions, i.e., focused and divided attention, whereas the latter represents the intensity dimensions, i.e., alerting and sustained attention ( Posner and Petersen, 1990 ; Robertson et al, 1998 ; Sturm and Willmes, 2001 ; Weinbach and Henik, 2011 ). Most studies focused on the effects of the selection aspects of attention on time perception ( Coull et al, 2004 ; Hemmes et al, 2004 ; Ulrich et al, 2006 ; Liu et al, 2013b ; Henry et al, 2015 ). The internal clock model states that the higher the amount of attention focused on time, the more pulses accumulated.…”

Section: Introductionmentioning

confidence: 99%

Individual alerting efficiency modulates time perception

et al. 2015

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Time perception plays a fundamental role in human perceptual and motor activities, and can be influenced by various factors, such as selective attention and arousal. However, little is known about the influence of individual alerting efficiency on perceived duration. In this study, we explored this question by running two experiments. The Attentional Networks Test was used to evaluate individual differences in alerting efficiency in each experiment. Temporal bisection (Experiment 1) and time generalization task (Experiment 2) were used to explore the participants’ perception of duration. The results indicated that subjects in the high alerting efficiency group overestimated interval durations and estimated durations more accurately compared with subjects in the low alerting efficiency group. The two experiments showed that the sensitivity of time was not influenced by individual alerting efficiency. Based on previous studies and current findings, we infer that individual differences in alerting efficiency may influence time perception through modulating the latency of the attention-controlled switch and the speed of the peacemaker within the framework of the internal clock model.

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“…Although the CNV is correlated with activity in a wide variety of cortical structures (e.g., ACC, M1, and medial frontal gyrus; Gómez et al, 2007Gómez et al, , , 2003Mento et al (2014); Scheibe et al, 2010), the primarily active structure is the supplementary motor area (SMA, e.g., Gómez et al, 2007Gómez et al, , , 2003Liu, et al, 2013;Mento et al, 2013;Nagai et al, 2004;Pouthas et al 2000;Leuthold et al 2004, cf., Praamstra et al, 2006. This aligns with the central role assumed for the SMA in theories explaining preparatory and intentional processes (for a review see Haggard (2008), Nachev et al, (2008), Penfield andWelch, 1951, Tanji, (1994) and see also Boehm et al (2014)), and interval timing (e.g., Bueti and Macaluso, 2011;Coull et al, 2004;Wiener et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

Neuroelectromagnetic signatures of the reproduction of supra-second durations

2015

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When participants are asked to reproduce an earlier presented duration, EEG recordings typically show a slow potential that develops over the fronto-central regions of the brain and is assumed to be generated in the supplementary motor area (SMA). This contingent negative variation (CNV) has been linked to anticipation, preparation and formation of temporal judgment (Macar, Vidal, and Casini, 1999, Experimental Brain Research, 125(3), 271-80). Although the interpretation of the CNV amplitude is problematic (Kononowicz and Van Rijn, (2011), Frontiers in Integrative Neuroscience, 5(48); Ng, Tobin, and Penney, 2011, Frontiers in Integrative Neuroscience, 5(77)), the observation of this slow potential is extremely robust, and thus one could assume that magnetic recordings of brain activity should show similar activity patterns. However, interval timing studies using durations shorter than one second did not provide unequivocal evidence as to whether CNV has a magnetic counterpart (CMV). As interval timing has been typically associated with durations longer than one second, participants in this study were presented intervals of 2, 3 or 4s that had to be reproduced in setup similar to the seminal work of Elbert et al. (1991, Psychophysiology, 28(6), 648-55) while co-recording EEG and MEG. The EEG data showed a clear CNV during the standard and the reproduction interval. In the reproduction interval the CNV steadily builds up from the onset of interval for both stimulus and response locked data. The MEG data did not show a CNV-resembling ramping of activity, but only showed a pre-movement magnetic field (preMMF) that originated from the SMA, occurring approximately 0.6s before the termination of the timed interval. These findings support the notion that signatures of timing are more straightforwardly measured using EEG, and show that the measured MEG signal from the SMA is constrained to the end of reproduction interval, before the voluntary movement. Moreover, we investigated a link between timing behavior and the early iCNV and late CNV amplitudes to evaluate the hypothesis that these amplitudes reflect the accumulation of temporal pulses. Larger iCNV amplitudes predicted shorter reproduced durations. This effect was more pronounced for the 2s interval reproduction, suggesting that preparatory strategies depend on the length of reproduced interval. Similarly to Elbert et al. (1991, Psychophysiology, 28(6), 648-55), longer reproductions were associated with smaller CNV amplitudes, both between conditions and across participants within the same condition. As the temporal accumulation hypothesis predicts the inverse, these results support the proposal by Van Rijn et al. (2011, Frontiers in Integrative Neuroscience, 5) that the CNV reflects other temporally driven processes such as temporal expectation and preparation rather than temporal accumulation itself.

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The Attention Modulation on Timing: An Event-Related Potential Study

Cited by 22 publications

References 39 publications

N-Back Related ERPs Depend on Stimulus Type, Task Structure, Pre-processing, and Lab Factors

N-Back Related ERPs Depend on Stimulus Type, Task Structure, Pre-processing, and Lab Factors

Individual alerting efficiency modulates time perception

Neuroelectromagnetic signatures of the reproduction of supra-second durations

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