Individual Alpha Frequency Predicts the Sensitivity of Time Perception
Audrey MorrowiD, Montana Wilson, Michaela Geller-Montague, Sara Soldano, Sabah Hajidamji, Jason SamahaiD
Abstract
A growing body of research links individual differences in the alpha-band frequency to temporal aspects of perception. However, whether the human alpha rhythm is a correlate of time perception itself has remained controversial. This study combined EEG with multiple duration perception tasks to evaluate whether individual alpha frequency (IAF) is associated with sensitivity or bias in judging visual durations across a range of peri-second durations (spanning 100-1200ms). In a temporal estimation task, participants (n = 55; 38 female, 13 male, 4 non-binary) reported the duration of a single stimulus between 300-1200ms. In a temporal discrimination task, participants reported which of two stimuli was longer: a standard (100, 600, or 1200ms) or comparison (50-150% of the standard). Stimuli also varied in whether their luminance was static or dynamically varying over time. We found that IAF was significantly related to the variance of duration estimates, a precision measure, but not average duration estimates, a bias measure. Further supporting this relationship, psychometric function slopes obtained from the independent duration discrimination tasks were positively correlated with IAF, particularly for the static stimulus conditions. These individual differences effects held when controlling for participant age. We also explored trial-level variability in alpha frequency and found it was predictive of shifts in the point of subjective equality (PSE) during discrimination of very short (100ms). Taken together, these results suggest that IAF plays a role in shaping individual differences in the sensitivity of time perception and that spontaneous variations around ones IAF can lead to a bias in temporal representations. Significance StatementBrain waves in the 8-13 Hz range, known as alpha waves, have long been hypothesized to modulate our perception of time, yet the evidence remains unclear. This study investigates the relationship between an individuals alpha frequency (IAF) and temporal sensitivity using a wide range of time perception tasks and stimulus durations to address gaps in the literature. We demonstrate that IAF is significantly associated with the precision of duration estimates and sensitivity in duration discrimination, particularly for static unchanging stimuli. These findings provide novel evidence that IAF shapes individual differences in time perception, emphasizing its role as a neural marker of temporal sensitivity.
02 /Specification & Classification
Click any tag to browse matching papers- Citations
- 2
- FWCI
- 8.33
- Field percentile
- top 5%
- Organism
- Assay
- Research Focus
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- Alpha-band frequency and temporal windows in perception: A review and living meta-analysis of 27 experiments (and counting)
Jason Samaha, Vincenzo Romei·Journal of Cognitive NeurosciencePeer-reviewed·Oct 19, 2023
- EEG Alpha Power Predicts the Temporal Sensitivity of Multisensory Integration
Raquel E. London, Christopher Benwell, … Durk Talsma·bioRxiv·Aug 26, 2020
- Individual alpha frequency increases during a task but is unchanged by alpha-band flicker
Michael J. Gray, Tatiana Aloi Emmanouil·PsychophysiologyPeer-reviewed·Oct 1, 2019
- Alpha Activity Reflects the Magnitude of an Individual Bias in Human Perception
Laetitia Grabot, Christoph Kayser·Journal of NeurosciencePeer-reviewed·Mar 16, 2020
- Alpha oscillations and aperiodic neural dynamics jointly predict visual temporal resolution, confidence, and dependence on prior experience
Gianluca Marsicano, Michele Deodato, David Melcher·bioRxiv·Jan 5, 2026
- Modulation of Individual Alpha Frequency with tACS shifts Time Perception
Giovanna Mioni, Adam Shelp, … Martin Wiener·Cerebral Cortex CommunicationsPeer-reviewed·Jan 1, 2020