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Journal article

Time for What? Dissociating Explicit Timing Tasks through Electrophysiological Signatures

Abstract:
Estimating durations between hundreds of milliseconds and seconds is essential for several daily tasks. Explicit timing tasks, which require participants to estimate durations to make a comparison (time for perception) or to reproduce them (time for action), are often used to investigate psychological and neural timing mechanisms. Recent studies have proposed that mechanisms may depend on specific task requirements. In this study, we conducted electroencephalogram (EEG) recordings on human participants as they estimated intervals in different task contexts to investigate the extent to which timing mechanisms depend on the nature of the task. We compared the neural processing of identical visual reference stimuli in two different tasks, in which stimulus durations were either perceptually compared or motorically reproduced in separate experimental blocks. Using multivariate pattern analyses, we could successfully decode the duration and the task of reference stimuli. We found evidence for both overlapping timing mechanisms across tasks as well as recruitment of task-dependent processes for comparing intervals for different purposes. Our findings suggest both core and specialized timing functions are recruited to support explicit timing tasks.
Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1523/eneuro.0351-23.2023

Authors

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Role:
Author
ORCID:
0000-0003-2783-5123
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Institution:
University of Oxford
Role:
Author
ORCID:
0000-0001-5762-2802
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Role:
Author
ORCID:
0000-0002-8580-5697


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Funder identifier:
10.13039/100000913
Grant:
220020448
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Funder identifier:
10.13039/100010269
Grant:
104571/Z/14/Z
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Funder identifier:
10.13039/501100000288
Grant:
NAF\R2\180581
More from this funder
Funder identifier:
10.13039/501100001807
Grant:
2017/24575-3


Publisher:
Society for Neuroscience
Journal:
eNeuro More from this journal
Volume:
11
Issue:
2
Pages:
ENEURO.0351-23.2023
Publication date:
2024-01-25
Acceptance date:
2023-12-04
DOI:
EISSN:
2373-2822
ISSN:
2373-2822


Language:
English
Keywords:
Pubs id:
1856029
Local pid:
pubs:1856029
Source identifiers:
W4391215280
Deposit date:
2026-06-09
ARK identifier:
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