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Related Experiment Videos

Neural systems supporting timing and chronometric counting: an FMRI study.

Sean C Hinton1, Deborah L Harrington, Jeffrey R Binder

  • 1Department of Neurology, Medical College of Wisconsin, Milwaukee, WI 53226, USA. shinton@mcw.edu

Brain Research. Cognitive Brain Research
|October 7, 2004
PubMed
Summary

Humans use two main strategies for estimating time intervals: the general interval timing system and precise, language-based chronometric counting. Counting engages distinct brain regions, including those for internal speech and rhythmic motor control, unlike general timing.

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Area of Science:

  • Neuroscience
  • Cognitive Psychology
  • Human Behavior

Background:

  • Humans estimate multisecond time intervals using at least two distinct strategies.
  • These include a general interval timing system and a language-based method called chronometric counting.
  • Chronometric counting offers greater precision than the general interval timing system.

Purpose of the Study:

  • To investigate the neural systems underlying the distinct strategies for estimating multisecond time intervals.
  • To differentiate the brain activity associated with internal timing versus covert counting.

Main Methods:

  • Eighteen adult participants reproduced a 16-second interval using either internal timing or covert chronometric counting.
  • Functional neuroimaging was employed to compare brain activity during these tasks against a resting baseline.

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Main Results:

  • Counting strongly activated Broca's area, primary motor cortex (mouth region), and right cerebellum, linked to internal speech.
  • Counting also engaged a corticostriatal network (putamen, SMA proper, CMA), associated with millisecond rhythmic timing.
  • Internal timing engaged only parts of this network (SMA proper, CMA), with reduced activity compared to counting.

Conclusions:

  • Chronometric counting recruits neural systems for internal speech and rhythmic motor control.
  • Estimating long durations via general interval timing, without linguistic subdivision, reduces activity in these specific neural circuits.
  • Both strategies interfere with semantic processing, indicating shared neural resource demands.