# Exploring the correlation and causation between alpha oscillations and one-second time perception through EEG and tACS

**Authors:** Ehsan Mokhtarinejad, Mahgol Tavakoli, Amir Hossein Ghaderi

PMC · DOI: 10.1038/s41598-024-57715-6 · Scientific Reports · 2024-04-05

## TL;DR

This study explores how brain alpha waves relate to time perception, using EEG and tACS to investigate their influence on judging a one-second interval.

## Contribution

The study provides new insights into how alpha oscillation frequency and power correlate with time perception accuracy and precision.

## Key findings

- Higher alpha power correlates with better time perception accuracy in the sham condition.
- Alpha frequency correlates with time perception precision in the sham condition.
- Real tACS stimulation weakens these correlations, especially at higher frequencies.

## Abstract

Alpha oscillations have been implicated in time perception, yet a consensus on their precise role remains elusive. This study directly investigates this relationship by examining the impact of alpha oscillations on time perception. Resting-state EEG recordings were used to extract peak alpha frequency (PAF) and peak alpha power (PAP) characteristics. Participants then performed a time generalization task under transcranial alternating current stimulation (tACS) at frequencies of PAF−2, PAF, and PAF+2, as well as a sham condition. Results revealed a significant correlation between PAP and accuracy, and between PAF and precision of one-second time perception in the sham condition. This suggests that alpha oscillations may influence one-second time perception by modulating their frequency and power. Interestingly, these correlations weakened with real tACS stimulations, particularly at higher frequencies. A second analysis aimed to establish a causal relationship between alpha peak modulation by tACS and time perception using repeated measures ANOVAs, but no significant effect was observed. Results were interpreted according to the state-dependent networks and internal clock model.

## Full-text entities

- **Genes:** PAPOLA (poly(A) polymerase alpha) [NCBI Gene 10914] {aka PAP, PAP-alpha}, PEX6 (peroxisomal biogenesis factor 6) [NCBI Gene 5190] {aka HMLR2, PAF-2, PAF2, PBD4A, PDB4B, PXAAA1}, PCLAF (PCNA clamp associated factor) [NCBI Gene 9768] {aka KIAA0101, L5, NS5ATP9, OEATC, OEATC-1, OEATC1}
- **Diseases:** fatigue (MESH:D005221), epilepsy (MESH:D004827), insomnia (MESH:D007319), PAF (MESH:C564040), social dysfunction (MESH:D000067404), pain (MESH:D010146), somatic symptoms (MESH:D000071896), depression (MESH:D003866), skin irritation (MESH:D012871), CE (MESH:D014717), anxiety (MESH:D001007)
- **Chemicals:** caffeine (MESH:D002110), saline (MESH:D012965), CE (-)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC10997657/full.md

## References

118 references — full list in the complete paper: https://tomesphere.com/paper/PMC10997657/full.md

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Source: https://tomesphere.com/paper/PMC10997657