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Related Experiment Video

Updated: May 10, 2026

Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes
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Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes

Published on: January 19, 2024

Long-range temporal correlations in resting-state α oscillations predict human timing-error dynamics.

Dirk J A Smit1, Klaus Linkenkaer-Hansen, Eco J C de Geus

  • 1Biological Psychology, Center for Neurogenomics and Cognitive Research, VU University, Amsterdam 1081 BT, The Netherlands. d.j.a.smit@vu.nl

The Journal of Neuroscience : the Official Journal of the Society for Neuroscience
|July 5, 2013
PubMed
Summary

Human errors during repetitive tasks show long-range temporal correlations. Brain oscillations

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Human Behavior Dynamics

Background:

  • Human performance on repetitive tasks exhibits errors that are not random but display patterned fluctuations.
  • These patterned fluctuations, known as long-range temporal correlations, are characterized by power-law spectra.
  • The underlying neural mechanisms driving these temporal correlations in behavior remain largely unknown.

Purpose of the Study:

  • To investigate the relationship between temporal dynamics in brain activity and behavioral error sequences.
  • To determine if resting-state neural oscillations predict individual differences in behavioral error patterns.

Main Methods:

  • Electroencephalography (EEG) was used to record eyes-open resting-state brain activity in 39 human subjects.
  • Subjects performed a 1-second interval reproduction task by tapping their finger without feedback.

Related Experiment Videos

Last Updated: May 10, 2026

Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes
09:27

Eye Movements in Visual Duration Perception: Disentangling Stimulus from Time in Predecisional Processes

Published on: January 19, 2024

  • Analysis focused on identifying long-range temporal correlations in both EEG amplitude modulation and finger-tapping timing errors.

    • Main Results:

    • Long-range temporal correlations were found in both resting-state brain oscillations across multiple frequency bands and in the timing errors of the finger-tapping task.
    • Significant individual differences were observed in the frequency scaling exponents for both tapping behavior and neural oscillations.
    • Resting-state alpha-band oscillations (9-13 Hz) recorded at precentral brain sites were strong predictors of individual finger-tapping scaling exponents.

    Conclusions:

    • Individual variations in resting-state brain dynamics, particularly alpha-band oscillations, provide a neural basis for understanding individual differences in behavioral error dynamics.
    • This study links neural oscillatory dynamics to the temporal patterns of errors in human motor behavior.
    • The findings suggest that brain activity during rest can predict how individuals err during repetitive tasks.