scholarly journals Motor Timing and Covariation with Time Perception: Investigating the Role of Handedness

Author(s):  
Louise O’Regan ◽  
Michiel M. Spapé ◽  
Deborah J. Serrien
Keyword(s):  
Emotion ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 1174-1188 ◽  
Author(s):  
Andero Uusberg ◽  
Richard Naar ◽  
Maria Tamm ◽  
Kairi Kreegipuu ◽  
James J. Gross
Keyword(s):  

2016 ◽  
Vol 4 (4) ◽  
pp. 411-422 ◽  
Author(s):  
Nicholas A. Lusk ◽  
Dean V. Buonomano

Over the past decade advances in tracing and imaging techniques have spurred the development of increasingly detailed maps of brain connectivity. Broadly termed ‘connectomes’, these maps provide a powerful tool for systems neuroscience. As with most ‘maps’, connectomes offer a static spatial description of the brain’s circuits, whereas timing and temporal processing are inherently dynamic processes; nevertheless, the timing field stands to be a major beneficiary of these large-scale mapping projects. The recently reported ‘projectome’ of mouse cortico-striatal sub-networks is of particular interest because theoretical developments such as the striatal beat-frequency model emphasize the role of the striatum in temporal processing. The cortico-striatal projectome confirms that the dorsal striatum is ideally situated to sample patterns of activity throughout most of the cortex, but that it also contains a level of modularity previously not considered by integrative models of interval timing. Furthermore, the striatal projectome will allow for targeted studies of whether specific subdivisions of the dorsal striatum are differentially involved in timing and time perception as a function of task, stimulus modality, intensity, and valence.


Author(s):  
Andrew Haigh ◽  
Deborah Apthorp ◽  
Lewis A. Bizo

2016 ◽  
Vol 2016 ◽  
pp. 1-9 ◽  
Author(s):  
Pavel Filip ◽  
Jan Lošák ◽  
Tomáš Kašpárek ◽  
Jiří Vaníček ◽  
Martin Bareš

Time perception is an essential part of our everyday lives, in both the prospective and the retrospective domains. However, our knowledge of temporal processing is mainly limited to the networks responsible for comparing or maintaining specific intervals or frequencies. In the presented fMRI study, we sought to characterize the neural nodes engaged specifically in predictive temporal analysis, the estimation of the future position of an object with varying movement parameters, and the contingent neuroanatomical signature of differences in behavioral performance between genders. The established dominant cerebellar engagement offers novel evidence in favor of a pivotal role of this structure in predictive short-term timing, overshadowing the basal ganglia reported together with the frontal cortex as dominant in retrospective temporal processing in the subsecond spectrum. Furthermore, we discovered lower performance in this task and massively increased cerebellar activity in women compared to men, indicative of strategy differences between the genders. This promotes the view that predictive temporal computing utilizes comparable structures in the retrospective timing processes, but with a definite dominance of the cerebellum.


1992 ◽  
Vol 45 (2) ◽  
pp. 235-263 ◽  
Author(s):  
Michel Treisman ◽  
Andrew Faulkner ◽  
Peter L. N. Naish

Studies of time estimation have provided evidence that human time perception is determined by an internal clock containing a temporal oscillator and have also provided estimates of the frequency of this oscillator (Treisman, Faulkner, Naish, & Brogan, 1992; Treisman & Brogan, 1992). These estimates were based on the observation that when the intervals to be estimated are accompanied by auditory clicks that recur at certain critical rates, perturbations in time estimation occur. To test the hypothesis that the mechanisms that underlie the perception of time and those that control the timing of motor performance are similar, analogous experiments were performed on motor timing, with the object of seeing whether evidence for a clock would be obtained and if so whether its properties resemble those of the time perception clock. The prediction was made that perturbations in motor timing would be seen at the same or similar critical auditory click rates. The experiments examined choice reaction time and typing. The results support the hypothesis that a temporal oscillator paces motor performance and that this oscillator is similar to the oscillator underlying time perception. They also provide an estimate of the characteristic frequency of the oscillator.


2019 ◽  
Author(s):  
Lachlan Kent ◽  
George H Van Doorn ◽  
Jakob Hohwy ◽  
Britt Klein

Time judgement and time experience are distinct elements of time perception. It is known that time experience tends to be slow, or dilated, when depressed, but there is less certainty or clarity concerning how depression affects time judgement. Here, we use a Bayesian Prediction Error Minimisation (PEM) framework called ‘distrusting the present’ as an explanatory and predictive model of both aspects of time perception. An interval production task was designed to probe and modulate the relationship between time perception and depression. Results showed that hopelessness, a symptom of severe depression, was associated with the ordering of interval lengths, reduced overall error, and dilated time experience. We propose that ‘distrusting the future’ is accompanied by ‘trusting the present’, leading to the experiences of time dilation when depressed or hopeless. Evidence was also found to support a relative difference model of how hopelessness dilates, and arousal accelerates, the rate of experienced time.


2014 ◽  
Vol 13 (6) ◽  
pp. 121-125
Author(s):  
Yu. V. Bushov ◽  
M. V. Svetlik

The present study pursued to investigate the role of phase interactions between EEG rhythms in the process of the perception of time. The purpose of the study was to analyse the dependence of these interactions on the type and stage of the activity being performed, as well as on the individual characteristics of a human. For this purpose, 27 boys and 29 girls, all university students, were asked to reproduce and measure short intervals of time (200 and 800 ms), during which their EEG was recorded in frontal, central, parietal, temporal, and occipital lobes, according to the system 10–20%. While studying phase interactions between EEG rhythms, we used wavelet bispectral analysis and calculated the bicoherence function. As it follows from the conducted research, most often close phase interactions are observed between the gamma-rhythm and other rhythms of EEG or between different frequencies of the gamma-rhythm. It was established that the phase interactions under study were influenced by the factors of “sex”, “activity type”, and “activity stage”. The study showed correlations of phase interactions with the levels of intellect, extraversion, neuroticism, with the particularities of the lateral organisation of brain, and the accuracy of time perception.


2013 ◽  
Vol 20 (6) ◽  
pp. 875-882
Author(s):  
Miao LIN ◽  
Xiu-Ying QIAN
Keyword(s):  

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