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Coordinate-Based Meta-Analyses of the Time Perception Network.

Martin Wiener1

  • 1George Mason University, Fairfax, VA, USA. mwiener@gmu.edu.

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Summary

Coordinate-Based Meta-Analyses (CBMA) synthesize neuroimaging data to understand brain timing. This review suggests a domain-general "timing network" exists, guiding future brain research on time perception.

Keywords:
Meta-analysisNeuroimagingTiming networkfMRI

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Psychology

Background:

  • Time perception research has significantly advanced using neuroimaging techniques like functional Magnetic Resonance Imaging (fMRI).
  • Synthesizing findings across diverse neuroimaging studies is crucial for understanding the neural basis of time perception.
  • Coordinate-Based Meta-Analyses (CBMA) offer a method to aggregate data from multiple studies.

Purpose of the Study:

  • To provide an overview of Coordinate-Based Meta-Analyses (CBMA) in time perception research.
  • To examine the methodologies, findings, and future directions of CBMA studies in this field.
  • To identify common patterns of brain activation related to time perception.

Main Methods:

  • Review of existing Coordinate-Based Meta-Analyses (CBMA) studies in time perception.
  • Modeling of activation foci from individual neuroimaging studies as probability distributions.
  • Statistical determination of common areas of activation-likelihood across studies.

Main Results:

  • The survey of CBMA studies indicates the presence of a distributed neural network involved in time perception.
  • Evidence suggests a domain-general network, rather than modality-specific networks, underlies time processing.
  • Identified common activation likelihood maps provide insights into the neural instantiation of time.

Conclusions:

  • The findings support the existence of a domain-general