Timing the Brain to Time the Mind: Critical Contributions of Time-Resolved Neuroimaging for Temporal Cognition

Wassenhove, Virginie van; Herbst, Sophie K.; Kononowicz, Tadeusz W.

doi:10.1007/978-3-030-00087-5_67

Cited by 14 publications

(10 citation statements)

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“…This might be plausible given the (to date relatively sparse) evidence for a functional relation between gamma activity and intelligence (Jaušovec & Jaušovec, 2005; Keizer et al, 2010; Stankov et al, 2006) and the involvement of gamma activity in temporal information processing (Kononowicz & Penney, 2016). An increasing number of studies also emphasized the role of cross-frequency couplings for the understanding of intelligence (see Chuderski, 2016, for review), as well as temporal information processing (see van Wassenhove et al, 2019, for review). Thus, the robust relationship between psychometric intelligence and TRP might not be explained by PAF but, nevertheless, provides a good basis for the investigation of the psychophysiological underpinning of psychometric intelligence.…”

Section: Discussionmentioning

confidence: 99%

“…The temporal resolution power (TRP) hypothesis holds that individual differences in the brain’s timing accuracy and temporal sensitivity are basic sources of individual differences in psychometric intelligence (Rammsayer & Brandler, 2004, 2007). At a behavioral level, individual differences in TRP are measured by event-timing, interval-timing, rhythm perception, or temporal generalization tasks (Grondin, 2010; Ogden et al, 2014; van Wassenhove et al, 2019). The considerable amount of variance shared by those tasks allows for extracting a latent variable as a representation of TRP (Haldemann et al, 2012; Helmbold et al, 2007; Rammsayer & Brandler, 2004, 2007), which has repeatedly demonstrated to be functionally associated with psychometric intelligence (Haldemann et al, 2012; Helmbold et al, 2007; Makowski et al, 2022; Pahud et al, 2018; Rammsayer & Brandler, 2004, 2007; Troche & Rammsayer, 2009).…”

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confidence: 99%

“…Therefore, individual A is able to identify the first stimulus to be longer. Although the outlined mechanism is surely a simplified representation, neural oscillations are an inherent part of many cognitive models of temporal information processing (Allman et al, 2014; Grondin, 2010; Kononowicz & van Wassenhove, 2016; Kononowicz et al, 2018; van Wassenhove et al, 2019).…”

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confidence: 99%

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Can the resting state peak alpha frequency explain the relationship between temporal resolution power and psychometric intelligence?

Makowski,

Troche

2024

Behavioral Neuroscience

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The temporal resolution power (TRP) hypothesis states that individuals with higher TRP, as reflected by a higher performance on several psychophysical timing tasks, perform better on intelligence tests due to their ability to process information faster and coordinate their mental operations more effectively. It is proposed that these differences in TRP are related to the rate of a master clock based on neural oscillations. The present study aimed to investigate whether the peak alpha frequency (PAF) measured via electroencephalography (EEG) reflects a psychophysiological measure of this rate and its potential role in explaining the relationship between TRP and psychometric intelligence. A sample of 129 young adults (M = 23.0, SD = 3.1) completed a short version of Raven’s Advanced Progressives Matrices and three timing tasks. PAF was measured using EEG before each timing task during two resting states with eyes closed (EC) and eyes open (EO), respectively. From these PAF measurements, four latent PAF variables were extracted, differing in resting state (EC, EO) and electrode cluster (frontal/central, parietal/occipital). The results confirmed a strong association between TRP and psychometric intelligence (r = .56, p < .01), as previously reported in other studies. Additionally, we found a positive association between intelligence and a latent PAF variable extracted from frontal/central electrodes in the EO resting state conditions (r = .27, p < .05). However, there was no association between TRP and PAF. This indicates that PAF does not reflect the underlying psychophysiological mechanism that links TRP to intelligence.

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Section: Discussionmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Can the resting state peak alpha frequency explain the relationship between temporal resolution power and psychometric intelligence?

Makowski,

Troche

2024

Behavioral Neuroscience

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“…Another electrophysiological candidate for a timekeeping mechanism could also be the beta rhythm, with a periodicity of 14–30 Hz (see van Wassenhove et al, 2019 for a recent review). Recently, evidence for the contribution of the beta rhythm to timing behavior was found in synchronization–continuation tasks in primates (e.g., Bartolo and Merchant, 2015 ) as well as in humans in tasks addressing predominantly supra-second timing.…”

Section: Discussionmentioning

confidence: 99%

Sub- and Supra-Second Timing in Auditory Perception: Evidence for Cross-Domain Relationships

2022

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Previous studies indicate that there are at least two levels of temporal processing: the sub- and supra-second domains. The relationship between these domains remains unclear. The aim of this study was to test whether performance on the sub-second level is related to that on the supra-second one, or whether these two domains operate independently. Participants were 118 healthy adults (mean age = 23 years). The sub-second level was studied with a temporal-order judgment task and indexed by the Temporal Order Threshold (TOT), on which lower values corresponded to better performance. On the basis of TOT results, the initial sample was classified into two groups characterized by either higher temporal efficiency (HTE) or lower temporal efficiency (LTE). Next, the efficiency of performance on the supra-second level was studied in these two groups using the subjective accentuation task, in which participants listened to monotonous sequences of beats and were asked to mentally accentuate every n-th beat to create individual rhythmic patterns. The extent of temporal integration was assessed on the basis of the number of beats being united and better performance corresponded to longer units. The novel results are differences between groups in this temporal integration. The HTE group integrated beats in significantly longer units than did the LTE group. Moreover, for tasks with higher mental load, the HTE group relied more on a constant time strategy, whereas the LTE group relied more on mental counting, probably because of less efficient temporal integration. These findings provide insight into associations between sub- and supra-second levels of processing and point to a common time keeping system, which is active independently of temporal domain.

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“…One potential confounding factor with reproduction task results is that they combine the perceptual and motor noises (Shi et al, 2013). Thus, it remains crucial for the findings of the current study to be replicated with types of temporal tasks that only target the perceptual components (van Wassenhove et al, 2019). Furthermore, in this study, we utilized the entrainment persistence, building our experiment based on the assumption that the underlying mechanisms of entrainment persistence are identical to the actual entrainment.…”

Section: Limitations and Future Directionmentioning

confidence: 99%

No evidence for the effect of entrainment's phase on duration reproduction and precision of regular intervals

Chatroudi

Yotsumoto

2023

Eur J of Neuroscience

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Perception of time is not always veridical; rather, it is subjected to distortions. One such compelling distortion is that the duration of regularly spaced intervals is often overestimated. One account suggests that excitatory phases of neural entrainment concomitant with such stimuli play a major role. However, assessing the correlation between the power of entrained oscillations and time dilation has yielded inconclusive results. In this study, we evaluated whether phase characteristics of neural oscillations impact time dilation. For this purpose, we entrained 10‐Hz oscillations and experimentally manipulated the presentation of flickers so that they were presented either in‐phase or out‐of‐phase relative to the established rhythm. Simultaneous electroencephalography (EEG) recordings confirmed that in‐phase and out‐of‐phase flickers had landed on different inhibitory phases of high‐amplitude alpha oscillations. Moreover, to control for confounding factors of expectancy and masking, we created two additional conditions. Results, supplemented by the Bayesian analysis, indicated that the phase of entrained visual alpha oscillation does not differentially affect flicker‐induced time dilation. Repeating the same experiment with regularly spaced auditory stimuli replicated the null findings. Moreover, we found a robust enhancement of precision for the reproduction of flickers relative to static stimuli that were partially supported by entrainment models. We discussed our results within the framework of neural oscillations and time‐perception models, suggesting that inhibitory cycles of visual alpha may have little relevance to the overestimation of regularly spaced intervals. Moreover, based on our findings, we proposed that temporal oscillators, assumed in entrainment models, may act independently of excitatory phases in the brain's lower level sensory areas.

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Timing the Brain to Time the Mind: Critical Contributions of Time-Resolved Neuroimaging for Temporal Cognition

Cited by 14 publications

References 284 publications

Can the resting state peak alpha frequency explain the relationship between temporal resolution power and psychometric intelligence?

Can the resting state peak alpha frequency explain the relationship between temporal resolution power and psychometric intelligence?

Sub- and Supra-Second Timing in Auditory Perception: Evidence for Cross-Domain Relationships

No evidence for the effect of entrainment's phase on duration reproduction and precision of regular intervals

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