Abstract
The study of time perception has advanced over the past three decades to include numerous neuroimaging studies, most notably including the use of functional Magnetic Resonance Imaging (fMRI). Yet, with this increase in studies, there comes the desire to draw broader conclusions across datasets about the nature and instantiation of time in the human brain. In the absence of collating individual studies together, the field has employed the use of Coordinate-Based Meta-Analyses (CBMA), in which foci from individual studies are modeled as probability distributions within the brain, from which common areas of activation-likelihood are determined. This chapter provides an overview of these CBMA studies, the methods they employ, the conclusions drawn by them, and where future areas of inquiry lie. The result of this survey suggests the existence of a domain-general “timing network” that can be used both as a guide for individual neuroimaging studies and as a template for future meta-analyses.
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Wiener, M. (2024). Coordinate-Based Meta-Analyses of the Time Perception Network. In: Merchant, H., de Lafuente, V. (eds) Neurobiology of Interval Timing. Advances in Experimental Medicine and Biology, vol 1455. Springer, Cham. https://doi.org/10.1007/978-3-031-60183-5_12
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