ArticleThe Journal of neuroscience : the official journal of the Society for Neuroscience2023
Spontaneous α Brain Dynamics Track the Episodic "When".
Article in The Journal of neuroscience : the official journal of the Society for Neuroscience, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- A Journey Into a Traveler's Mental Map: Duration, Distance, and Speed Experienced in High-Speed Trains.Cognitive science · 2026Article
- The temporal organization of memory and emotion is reciprocally coupled.bioRxiv : the preprint server for biology · 2026Article
- A Passage of Time Signal in the Human Brain.eNeuro · 2026Article
- Emotional Blunting and Time Estimation in Depression.Biological psychiatry global open science · 2026Article
- Time, space, memory and brain-body rhythms.Nature reviews. Neuroscience · 2026Review
- Spontaneous Oscillatory Activity in Episodic Timing: An EEG Replication Study and Its Limitations.eNeuro · 2026Article
- Neural Representation of Episodic Time.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Review
- Prediction of Alpha Power Using Multiple Subjective Measures and Autonomic Responses.Psychophysiology · 2025Article
- Individual alpha frequency predicts the sensitivity of time perception.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Across species, neurons track time over the course of seconds to minutes, which may feed the sense of time passing. Here, we asked whether neural signatures of time-tracking could be found in humans. Participants stayed quietly awake for a few minutes while being recorded with magnetoencephalography (MEG). They were unaware they would be asked how long the recording lasted (retrospective time) or instructed beforehand to estimate how long it will last (prospective timing). At rest, rhythmic brain activity is nonstationary and displays bursts of activity in the alpha range (α: 7-14 Hz). When participants were not instructed to attend to time, the relative duration of α bursts linearly predicted individuals' retrospective estimates of how long their quiet wakefulness lasted. The relative duration of α bursts was a better predictor than α power or burst amplitude. No other rhythmic or arrhythmic activity predicted retrospective duration. However, when participants timed prospectively, the relative duration of α bursts failed to predict their duration estimates. Consistent with this, the amount of α bursts was discriminant between prospective and retrospective timing. Last, with a control experiment, we demonstrate that the relation between α bursts and retrospective time is preserved even when participants are engaged in a visual counting task. Thus, at the time scale of minutes, we report that the relative time of spontaneous α burstiness predicts conscious retrospective time. We conclude that in the absence of overt attention to time, α bursts embody discrete states of awareness constitutive of episodic timing.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.