Literature DB >> 19940175

Three stages and four neural systems in time estimation.

Benjamin Morillon1, Christian A Kell, Anne-Lise Giraud.   

Abstract

Gibbon's scalar expectancy theory assumes three processing stages in time estimation: a collating level in which event durations are automatically tracked, a counting level that reads out the time-tracking system, and a comparing level in which event durations are matched to abstract temporal references. Pöppel's theory, however, postulates a dual system for perception of durations below and above 2 s. By testing the neurophysiological plausibility of Gibbon's proposal using functional magnetic resonance imaging, we validate a three-staged model of time estimation and further show that the collating process is duplicated. Although the motor system automatically tracks durations below 2 s, mesial brain regions of the so-called "default mode network" keep track of longer events. Our results further support unique counting and comparing systems, involving prefrontal and parietal cortices in collators' readout, and the temporal cortex in contextual time estimation. These findings provide a coherent neuroanatomical framework for two theories of time perception.

Entities:  

Mesh:

Year:  2009        PMID: 19940175      PMCID: PMC6666014          DOI: 10.1523/JNEUROSCI.3222-09.2009

Source DB:  PubMed          Journal:  J Neurosci        ISSN: 0270-6474            Impact factor:   6.167


  46 in total

1.  fMRI identifies the right inferior frontal cortex as the brain region where time interval processing is altered by negative emotional arousal.

Authors:  Micha Pfeuty; Bixente Dilharreguy; Loïc Gerlier; Michèle Allard
Journal:  Hum Brain Mapp       Date:  2014-11-04       Impact factor: 5.038

Review 2.  Neuroanatomical and neurochemical substrates of timing.

Authors:  Jennifer T Coull; Ruey-Kuang Cheng; Warren H Meck
Journal:  Neuropsychopharmacology       Date:  2010-07-28       Impact factor: 7.853

3.  How do we process event-based and time-based intentions in the brain? an fMRI study of prospective memory in healthy individuals.

Authors:  Julie Gonneaud; Géraldine Rauchs; Mathilde Groussard; Brigitte Landeau; Florence Mézenge; Vincent de La Sayette; Francis Eustache; Béatrice Desgranges
Journal:  Hum Brain Mapp       Date:  2013-11-08       Impact factor: 5.038

4.  Neural substrates of time perception and impulsivity.

Authors:  Marc Wittmann; Alan N Simmons; Taru Flagan; Scott D Lane; Jiří Wackermann; Martin P Paulus
Journal:  Brain Res       Date:  2011-06-26       Impact factor: 3.252

Review 5.  Motivation and timing: clues for modeling the reward system.

Authors:  Tiffany Galtress; Andrew T Marshall; Kimberly Kirkpatrick
Journal:  Behav Processes       Date:  2012-03-06       Impact factor: 1.777

6.  The Default Mode Network Differentiates Biological From Non-Biological Motion.

Authors:  Eran Dayan; Irit Sella; Albert Mukovskiy; Yehonatan Douek; Martin A Giese; Rafael Malach; Tamar Flash
Journal:  Cereb Cortex       Date:  2014-09-12       Impact factor: 5.357

7.  Delta-Beta Coupled Oscillations Underlie Temporal Prediction Accuracy.

Authors:  Luc H Arnal; Keith B Doelling; David Poeppel
Journal:  Cereb Cortex       Date:  2014-05-20       Impact factor: 5.357

8.  Estimating the passage of minutes: deviant oscillatory frontal activity in medicated and unmedicated ADHD.

Authors:  Tony W Wilson; Elizabeth Heinrichs-Graham; Matthew L White; Nichole L Knott; Martin W Wetzel
Journal:  Neuropsychology       Date:  2013-09-16       Impact factor: 3.295

Review 9.  Interactions of timing and prediction error learning.

Authors:  Kimberly Kirkpatrick
Journal:  Behav Processes       Date:  2013-08-17       Impact factor: 1.777

Review 10.  The inner sense of time: how the brain creates a representation of duration.

Authors:  Marc Wittmann
Journal:  Nat Rev Neurosci       Date:  2013-02-13       Impact factor: 34.870

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