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Recalibrating timing behavior via expected covariance between temporal cues.

ABSTRACT: Individuals must predict future events to proactively guide their behavior. Predicting when events will occur is a critical component of these expectations. Temporal expectations are often generated based on individual cue-duration relationships. However, the durations associated with different environmental cues will often co-vary due to a common cause. We show that timing behavior may be calibrated based on this expected covariance, which we refer to as the 'common cause hypothesis'. In five experiments using rats, we found that when the duration associated with one temporal cue changes, timed-responding to other cues shift in the same direction. Furthermore, training subjects that expecting covariance is not appropriate in a given situation blocks this effect. Finally, we confirmed that this transfer is context-dependent. These results reveal a novel principle that modulates timing behavior, which we predict will apply across a variety of magnitude-expectations.

SUBMITTER: De Corte BJ

PROVIDER: S-EPMC6235573 | biostudies-literature | 2018 Nov

REPOSITORIES: biostudies-literature

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Recalibrating timing behavior via expected covariance between temporal cues.

De Corte Benjamin J BJ Della Valle Rebecca R RR Matell Matthew S MS

eLife 20181102

Individuals must predict future events to proactively guide their behavior. Predicting when events will occur is a critical component of these expectations. Temporal expectations are often generated based on individual cue-duration relationships. However, the durations associated with different environmental cues will often co-vary due to a common cause. We show that timing behavior may be calibrated based on this expected covariance, which we refer to as the 'common cause hypothesis'. In five e ...[more]

PMID: 30387710

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Project description:BackgroundMost concussion education aims to increase athlete self-report of concussive symptoms. Although the population burden of concussion is high, frequency with which this injury occurs on a given sports team in a given season is relatively low. This means that powering concussion education evaluation studies to measure change in post-injury symptom reporting behavior requires what is often a prohibitively large sample size. Thus, evaluation studies are typically powered to measure proximal cognitions. Expected reporting behavior, a cognition that reflects planned and reactive decision-making, is a theoretically indicated construct for inclusion in evaluation studies. However, previously no scales were available to measure this construct with demonstrated reliability and validity among youth athletes. The objective of this study was to develop and assess the validity of a brief single-factor scale to measure expected youth athlete concussion reporting behavior (CR-E) in a sample of youth athletes.MethodsA mixed methods approach was used, including cognitive interviews with youth athletes, and quantitative item reduction and validation. Participants were youth athletes (aged 9-16) from the Seattle metropolitan and rural south-Georgia regions. After refining an initial pool of items using cognitive interviews with a diverse group of youth athletes (n = 20), a survey containing these items was administered to youth soccer and football players (n = 291). Item reduction statistics and sequential confirmatory factor analyses were used to reduce the initial scale using a randomly selected half of the sample. Then, a final confirmatory factor analysis and validation tests were applied to the other half of the sample of youth athletes. Predictive validation was conducted longitudinally in a separate sample of youth athletes (n = 155).ResultsInternal consistency was high (alpha = 0.89), model fit was excellent, validation tests were in the hypothesized directions, and the scale was feasible to use. Using the finalized 4-item scale, we observed that less than one-third of youth soccer and football athletes expect to "always" tell their coach about symptoms of a suspected concussion.ConclusionsThe CR-E measure should be included in future studies evaluating concussion education programming in youth athlete populations.

Dataset Information

Recalibrating timing behavior via expected covariance between temporal cues.

Publications

Recalibrating timing behavior via expected covariance between temporal cues.

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