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A previous magnetoencephalography (MEG) study showed that the relative burst time of spontaneous alpha oscillations (\u03b1) during quiet wakefulness was a selective predictor of retrospective duration estimation. This observation was interpreted as \u03b1 embodying the \u201cticks\u201d of an internal contextual clock. Herein, we replicate and extend these findings using electroencephalography (EEG), assess robustness to time-on-task effects, and test the generalizability in virtual reality (VR) environments. In three EEG experiments, 128 participants of either sex underwent 4\u2005min eyes-open resting-state recordings followed by an unexpected retrospective duration estimation task. Experiment 1 tested participants before any tasks, Experiment 2 after 90\u2005min of timing tasks, and Experiment 3 in VR environments of different sizes. We successfully replicated the original MEG findings in Experiment 1 but did not in Experiment 2. We explain the lack of replication through time-on-task effects (changes in \u03b1 power and topography) and contextual changes yielding a cognitive strategy based on temporal expectation (supported by a fast passage of time). In Experiment 3, we did not find the expected duration underestimation in VR and did not replicate the correlation between \u03b1 bursts and retrospective time estimates. Overall, while EEG captures the \u03b1 burst marker of episodic timing, its reliability depends critically on experimental context. Our findings highlight the importance of controlling experimental context when using \u03b1 bursts as a neural marker of episodic timing.<\/jats:p>","DOI":"10.1523\/eneuro.0332-25.2025","type":"journal-article","created":{"date-parts":[[2026,1,8]],"date-time":"2026-01-08T18:50:12Z","timestamp":1767898212000},"page":"ENEURO.0332-25.2025","update-policy":"https:\/\/doi.org\/10.1523\/eneuro.crossmarkpolicy","source":"Crossref","is-referenced-by-count":5,"title":["Spontaneous Oscillatory Activity in Episodic Timing: An EEG Replication Study and Its Limitations"],"prefix":"10.1523","volume":"13","author":[{"given":"Rapha\u00ebl","family":"Bordas","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2569-5502","authenticated-orcid":false,"given":"Virginie","family":"van Wassenhove","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"393","published-online":{"date-parts":[[2026,1,8]]},"reference":[{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.1","doi-asserted-by":"publisher","DOI":"10.1093\/brain\/57.4.355"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.2","doi-asserted-by":"publisher","DOI":"10.1007\/s10548-010-0154-x"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.3","doi-asserted-by":"publisher","DOI":"10.1523\/JNEUROSCI.0816-23.2023"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.4","doi-asserted-by":"publisher","DOI":"10.1038\/nn.4504"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.5","doi-asserted-by":"crossref","first-page":"1840","DOI":"10.3758\/s13423-023-02277-3","article-title":"Dynamics of retrospective timing: a big data approach","volume":"30","author":"Balc\u0131","year":"2023","journal-title":"Psychon Bull Rev"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.6","doi-asserted-by":"publisher","DOI":"10.1016\/j.neubiorev.2013.05.007"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.7","doi-asserted-by":"publisher","DOI":"10.1016\/J.NEUROIMAGE.2019.02.067"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.8","doi-asserted-by":"publisher","DOI":"10.1007\/BF01797193"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.9","doi-asserted-by":"publisher","DOI":"10.3758\/BF03197462"},{"key":"2026012310550918000_13.1.ENEURO.0332-25.2025.10","doi-asserted-by":"crossref","unstructured":"Block RA (1985) Contextual coding in memory: studies of remembered duration. 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