The image of time: A voxel-wise meta-analysis

Wiener, Martin; Turkeltaub, Peter E.; Coslett, H. Branch

doi:10.1016/j.neuroimage.2009.09.064

Cited by 540 publications

(606 citation statements)

References 125 publications

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“…This idea is consistent with the proposition that dyscalculics would be more impaired when bigger numbers are involved (but see But-terworth, 2010), and also with the fact that DDs are not significantly impaired in sub-sec timings (Cappelletti et al, 2011a). Furthermore, the transition between sub-second ('automatic' or 'sensory-motor' timing, Bueti et al, 2012;Buhusi & Meck, 2005;Buonomano, 2007;Lewis & Miall, 2003;Macar et al, 2006;Naatanen et al, 2004;Wiener et al, 2010) and supra-second ('cognitive') timing mechanisms occurs at around 3 s (Gilaie-Dotan et al, 2011;Poppel, 1997), which might parallel the transition between mechanisms supporting small and larger numerosities (Agrillo et al, 2012;Buhusi & Cordes, 2011;Cordes & Brannon, 2009), although there is no consensus about this idea (see Buhusi & Cordes, 2011 for review). While a distinction between 'small' and 'large' numerosities can be dichotomised, one might also consider it on a magnitude continuum.…”

Section: Discussionsupporting

confidence: 85%

Impaired Numerical Ability Affects Supra-Second Time Estimation

Gilaie-Dotan

Rees

Butterworth

et al. 2014

Timing Time Percept

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It has been suggested that the human ability to process number and time both rely on common magnitude mechanisms, yet for time this commonality has mainly been investigated in the sub-second rather than longer time ranges. Here we examined whether number processing is associated with timing in time ranges greater than a second. Specifically, we tested long duration estimation abilities in adults with a developmental impairment in numerical processing (dyscalculia), reasoning that any such timing impairment co-occurring with dyscalculia may be consistent with joint mechanisms for time estimation and number processing. Dyscalculics and age-matched controls were tested on supra-second temporal estimation (12 s), a difficulty-matched non-temporal control task, as well as mathematical abilities. Consistent with our hypothesis, dyscalculics were significantly impaired in supra-second duration estimation but not in the control task. Furthermore, supra-second timing ability positively correlated with mathematical proficiency. All participants reported that they used counting to estimate time, although no specific instructions were given with respect to counting. These results suggest that numerical processing and supra-second temporal estimation share common mechanisms. However, since this conclusion is also based on subjective observations, further work needs to be done to determine whether mathematical impairment co-occurs with supra-second time estimation impairment when counting is not involved in and is objectively controlled for during supra-second timing. We hypothesize that counting, that does not develop normally in dyscalculics, might underlie and adversely affect dyscalculics' supra-second time estimation performance, rather than an impairment of a magnitude mechanism or the internal clock pacemaker.

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Section: Discussionsupporting

confidence: 85%

Impaired Numerical Ability Affects Supra-Second Time Estimation

Gilaie-Dotan

Rees

Butterworth

et al. 2014

Timing Time Percept

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“…Likewise, contrasting the responses to the same sounds as a function of variations in the perception of stimulus duration allowed us to reveal the neural underpinnings of subjective duration. While the recent meta-analyses by Wiener et al (2010) suggest a prominent involvement of the right inferior frontal gyrus and bilateral supplementary motor area in duration representation, our result for a role of the right TPJ in the perception of duration has already been reported (Rao et al, 2001;Schubotz and von Cramon, 2001;Pouthas et al, 2005;Bueti et al, 2008).…”

Section: Discussioncontrasting

confidence: 41%

Noise in Brain Activity Engenders Perception and Influences Discrimination Sensitivity

Bernasconi¹,

Lucia²,

Tzovara³

et al. 2011

J. Neurosci.

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Behavioral and brain responses to identical stimuli can vary with experimental and task parameters, including the context of stimulus presentation or attention. More surprisingly, computational models suggest that noise-related random fluctuations in brain responses to stimuli would alone be sufficient to engender perceptual differences between physically identical stimuli. In two experiments combining psychophysics and EEG in healthy humans, we investigated brain mechanisms whereby identical stimuli are (erroneously) perceived as different (higher vs lower in pitch or longer vs shorter in duration) in the absence of any change in the experimental context. Even though, as expected, participants' percepts to identical stimuli varied randomly, a classification algorithm based on a mixture of Gaussians model (GMM) showed that there was sufficient information in single-trial EEG to reliably predict participants' judgments of the stimulus dimension. By contrasting electrical neuroimaging analyses of auditory evoked potentials (AEPs) to the identical stimuli as a function of participants' percepts, we identified the precise timing and neural correlates (strength vs topographic modulations) as well as intracranial sources of these erroneous perceptions. In both experiments, AEP differences first occurred ϳ100 ms after stimulus onset and were the result of topographic modulations following from changes in the configuration of active brain networks. Source estimations localized the origin of variations in perceived pitch of identical stimuli within right temporal and left frontal areas and of variations in perceived duration within right temporoparietal areas. We discuss our results in terms of providing neurophysiologic evidence for the contribution of random fluctuations in brain activity to conscious perception.

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“…The findings corroborate previous reports (Geer, Davison, & Gatchel, 1970) What neural processes might support the accumulation effect reported here? A recent review (Coull et al, 2011) and meta-analyses (Wiener et al, 2010) have helped to identify a network of brain regions that increases in activity during time estimation. This network includes the supplementary motor area, basal ganglia (including the putamen and the caudate nucleus), the cerebellum and the anterior insula.…”

Section: Discussionmentioning

confidence: 99%

Rapid temporal accumulation in spider fear: Evidence from hierarchical drift diffusion modelling.

Tipples¹

2015

Emotion

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Fear can distort sense of time—making time seem slow or even stand still. Here, I used hierarchical drift diffusion modeling (HDDM; Vandekerckhove, Tuerlinckx, & Lee, 2008, 2011; Wiecki, Sofer, & Frank, 2013) to test the idea that temporal accumulation speeds up during fear. Eighteen high fearful and 23 low fearful participants judged the duration of both feared stimuli (spiders) and nonfeared stimuli (birds) in a temporal bisection task. The drift diffusion modeling results support the main hypothesis. In high but not low fearful individuals, evidence accumulated more rapidly toward a long duration decision—drift rates were higher—for spiders compared with birds. This result and further insights into how fear affects time perception would not have been possible on the basis of analyses of choice proportion data alone. Further results were interpreted in the context of a recent 2-stage model of time perception (Balcı & Simen, 2014). The results highlight the usefulness of diffusion modeling to test process-based explanations of disordered cognition in emotional disorders.

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The image of time: A voxel-wise meta-analysis

Cited by 540 publications

References 125 publications

Impaired Numerical Ability Affects Supra-Second Time Estimation

Impaired Numerical Ability Affects Supra-Second Time Estimation

Noise in Brain Activity Engenders Perception and Influences Discrimination Sensitivity

Rapid temporal accumulation in spider fear: Evidence from hierarchical drift diffusion modelling.

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