Skip to main content
bioRxiv
  • Home
  • About
  • Submit
  • ALERTS / RSS
Advanced Search
New Results

Episodic timing: how spontaneous alpha clocks, retrospectively

Leila Azizi, View ORCID ProfileIgnacio Polti, View ORCID ProfileVirginie van Wassenhove
doi: https://doi.org/10.1101/2021.10.01.462732
Leila Azizi
1Cognitive Neuroimaging Unit, NeuroSpin, CEA, INSERM, CNRS, Université Paris-Saclay, 91191 Gif/Yvette, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • For correspondence: Leila.Azizi.p@gmail.com Virginie.van.Wassenhove@gmail.com
Ignacio Polti
2Kavli Institute for Systems Neuroscience, NTNU, Trondheim, Norway
3Department of Psychology, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Ignacio Polti
Virginie van Wassenhove
1Cognitive Neuroimaging Unit, NeuroSpin, CEA, INSERM, CNRS, Université Paris-Saclay, 91191 Gif/Yvette, France
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Virginie van Wassenhove
  • For correspondence: Leila.Azizi.p@gmail.com Virginie.van.Wassenhove@gmail.com
  • Abstract
  • Full Text
  • Info/History
  • Metrics
  • Supplementary material
  • Preview PDF
Loading

Abstract

We seldom time life events intently yet recalling the duration of events is lifelike. Is episodic time the outcome of a rational after-thought or of physiological clocks keeping track of time without our conscious awareness of it? To answer this, we recorded human brain activity with magnetoencephalography (MEG) during quiet wakefulness. Unbeknownst to participants, we asked them after the MEG recording to guess its duration. In the absence of overt attention to time, the relative amount of time participants’ alpha brain rhythms (α ~10 Hz) were in bursting mode predicted participants’ retrospective duration estimate. This relation was absent when participants prospectively measured elapsed time during the MEG recording. We conclude that α bursts embody discrete states of awareness for episodic timing.

One-Sentence Summary In the human brain, the relative number of alpha oscillatory bursts at ~10 Hz can tell time when the observer does not attend to it.

Competing Interest Statement

The authors have declared no competing interest.

Copyright 
The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license.
Back to top
PreviousNext
Posted October 03, 2021.
Download PDF

Supplementary Material

Email

Thank you for your interest in spreading the word about bioRxiv.

NOTE: Your email address is requested solely to identify you as the sender of this article.

Enter multiple addresses on separate lines or separate them with commas.
Episodic timing: how spontaneous alpha clocks, retrospectively
(Your Name) has forwarded a page to you from bioRxiv
(Your Name) thought you would like to see this page from the bioRxiv website.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Episodic timing: how spontaneous alpha clocks, retrospectively
Leila Azizi, Ignacio Polti, Virginie van Wassenhove
bioRxiv 2021.10.01.462732; doi: https://doi.org/10.1101/2021.10.01.462732
Reddit logo Twitter logo Facebook logo LinkedIn logo Mendeley logo
Citation Tools
Episodic timing: how spontaneous alpha clocks, retrospectively
Leila Azizi, Ignacio Polti, Virginie van Wassenhove
bioRxiv 2021.10.01.462732; doi: https://doi.org/10.1101/2021.10.01.462732

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
  • Tweet Widget
  • Facebook Like
  • Google Plus One

Subject Area

  • Neuroscience
Subject Areas
All Articles
  • Animal Behavior and Cognition (4842)
  • Biochemistry (10771)
  • Bioengineering (8031)
  • Bioinformatics (27246)
  • Biophysics (13959)
  • Cancer Biology (11108)
  • Cell Biology (16026)
  • Clinical Trials (138)
  • Developmental Biology (8770)
  • Ecology (13266)
  • Epidemiology (2067)
  • Evolutionary Biology (17337)
  • Genetics (11678)
  • Genomics (15902)
  • Immunology (11011)
  • Microbiology (26031)
  • Molecular Biology (10625)
  • Neuroscience (56449)
  • Paleontology (417)
  • Pathology (1729)
  • Pharmacology and Toxicology (2999)
  • Physiology (4539)
  • Plant Biology (9614)
  • Scientific Communication and Education (1612)
  • Synthetic Biology (2682)
  • Systems Biology (6967)
  • Zoology (1508)