Although there has been an explosion of interest in the neural correlates
of time perception during the past decade, substantial disagreement
persists regarding the structures that are relevant to interval timing.
We addressed this important issue by conducting a comprehensive,
voxel-wise meta-analysis using the activation likelihood estimation
algorithm; this procedure models each stereotactic coordinate as
a 3D Gaussian distribution, then tests the likelihood of activation
across all voxels in the brain (Turkeltaub et al., 2002). We included
446 sets of activation foci across 41 studies of timing that report
whole-brain analyses. We divided the data set along two dimensions:
stimulus duration (sub- vs. supra-second) and nature of response
(motor vs. perceptual). Our meta-analyses revealed dissociable neural
networks for the processing of duration with motor or perceptual
components. Sub-second timing tasks showed a higher propensity to
recruit sub-cortical networks, such as the basal ganglia and cerebellum,
whereas supra-second timing tasks were more likely to activate cortical
structures, such as the SMA and prefrontal cortex. We also detected
a differential pattern of activation likelihood in basal ganglia
structures, depending on the interval and task design. Finally, a
conjunction analysis revealed the SMA and right inferior frontal
gyrus as the only structures with significant voxels across all timing
conditions. These results suggest that the processing of temporal
information is mediated by a distributed network that can be differentially
engaged depending on the task requirements.
%0 Journal Article
%1 Wiener2010
%A Wiener, Martin
%A Turkeltaub, Peter
%A Coslett, HB
%D 2010
%J NeuroImage
%K timing
%N 2
%P 1728--1740
%T The image of time: a voxel-wise meta-analysis.
%U http://dx.doi.org/10.1016/j.neuroimage.2009.09.064
%V 49
%X Although there has been an explosion of interest in the neural correlates
of time perception during the past decade, substantial disagreement
persists regarding the structures that are relevant to interval timing.
We addressed this important issue by conducting a comprehensive,
voxel-wise meta-analysis using the activation likelihood estimation
algorithm; this procedure models each stereotactic coordinate as
a 3D Gaussian distribution, then tests the likelihood of activation
across all voxels in the brain (Turkeltaub et al., 2002). We included
446 sets of activation foci across 41 studies of timing that report
whole-brain analyses. We divided the data set along two dimensions:
stimulus duration (sub- vs. supra-second) and nature of response
(motor vs. perceptual). Our meta-analyses revealed dissociable neural
networks for the processing of duration with motor or perceptual
components. Sub-second timing tasks showed a higher propensity to
recruit sub-cortical networks, such as the basal ganglia and cerebellum,
whereas supra-second timing tasks were more likely to activate cortical
structures, such as the SMA and prefrontal cortex. We also detected
a differential pattern of activation likelihood in basal ganglia
structures, depending on the interval and task design. Finally, a
conjunction analysis revealed the SMA and right inferior frontal
gyrus as the only structures with significant voxels across all timing
conditions. These results suggest that the processing of temporal
information is mediated by a distributed network that can be differentially
engaged depending on the task requirements.
@article{Wiener2010,
__markedentry = {[freesurfer:6]},
abstract = {Although there has been an explosion of interest in the neural correlates
of time perception during the past decade, substantial disagreement
persists regarding the structures that are relevant to interval timing.
We addressed this important issue by conducting a comprehensive,
voxel-wise meta-analysis using the activation likelihood estimation
algorithm; this procedure models each stereotactic coordinate as
a 3D Gaussian distribution, then tests the likelihood of activation
across all voxels in the brain (Turkeltaub et al., 2002). We included
446 sets of activation foci across 41 studies of timing that report
whole-brain analyses. We divided the data set along two dimensions:
stimulus duration (sub- vs. supra-second) and nature of response
(motor vs. perceptual). Our meta-analyses revealed dissociable neural
networks for the processing of duration with motor or perceptual
components. Sub-second timing tasks showed a higher propensity to
recruit sub-cortical networks, such as the basal ganglia and cerebellum,
whereas supra-second timing tasks were more likely to activate cortical
structures, such as the SMA and prefrontal cortex. We also detected
a differential pattern of activation likelihood in basal ganglia
structures, depending on the interval and task design. Finally, a
conjunction analysis revealed the SMA and right inferior frontal
gyrus as the only structures with significant voxels across all timing
conditions. These results suggest that the processing of temporal
information is mediated by a distributed network that can be differentially
engaged depending on the task requirements.},
added-at = {2012-02-24T14:11:06.000+0100},
author = {Wiener, Martin and Turkeltaub, Peter and Coslett, HB},
biburl = {https://www.bibsonomy.org/bibtex/2a511e9b957a9c50264605c9625e5fdcd/jakspa},
interhash = {031aec32fa6ebd2f872886868bdffcf3},
intrahash = {a511e9b957a9c50264605c9625e5fdcd},
issn = {1095-9572},
journal = {NeuroImage},
keywords = {timing},
month = jan,
number = 2,
owner = {freesurfer},
pages = {1728--1740},
refid = {citeulike:5893570},
timestamp = {2012-02-24T14:11:10.000+0100},
title = {The image of time: a voxel-wise meta-analysis.},
url = {http://dx.doi.org/10.1016/j.neuroimage.2009.09.064},
volume = 49,
year = 2010
}