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Neural network involved in time perception: an fMRI study comparing long and short interval estimation
Viviane Pouthas1, Nathalie George, Jean-Baptiste Poline
1Unité de Neurosciences Cognitives et Imagerie Cérébrale, Hôpital de la Salpêtrière, Paris, France. viviane.pouthas@chups.jussieu.fr
Human Brain Mapping
|April 27, 2005
Summary
This study used fMRI to investigate brain activity during time estimation. Key brain regions like the pre-supplementary motor area (preSMA) and anterior cingulate cortex show increased activation with longer estimated durations.
Area of Science:
- Neuroscience
- Cognitive Neuroscience
- Neuroimaging
Background:
- Accurate time estimation is crucial for various cognitive functions.
- Previous neuroimaging studies have identified a distributed network involved in time estimation, but the specific roles of regions concerning duration have been less clear.
Purpose of the Study:
- To identify brain regions within the time estimation network that exhibit increased activation correlating with the duration to be estimated.
- To differentiate between brain areas generally involved in time estimation and those specifically encoding duration magnitude.
Main Methods:
- An event-related functional magnetic resonance imaging (fMRI) study was conducted.
- Participants performed time estimation trials of two distinct durations: long (approx. 1,300 ms) and short (approx. 450 ms).
- Brain activation patterns were analyzed to contrast responses between the different duration conditions.
Main Results:
- The study confirmed involvement of the presupplementary motor area (preSMA), anterior cingulate, prefrontal/parietal cortices, and basal ganglia in time estimation regardless of duration.
- A subset of these regions, including the preSMA, anterior cingulate cortex, right inferior frontal gyrus, bilateral premotor cortex, and right caudate nucleus, showed significantly increased activation with longer estimated durations.
- This suggests these specific regions are directly involved in the magnitude of duration estimation.
Conclusions:
- The findings indicate that specific components of the time estimation network, including the preSMA, anterior cingulate cortex, and right inferior frontal gyrus, are sensitive to the duration being estimated.
- A caudate-preSMA circuit, anterior cingulate, and premotor-inferior frontal regions are proposed to support distinct temporal functions: a clock mechanism, decision/response processes, and temporal information maintenance, respectively.