The intrinsic time tracker: temporal context is embedded in entorhinal and hippocampal functional connectivity patterns

Jingyi Wang, Arielle Tambini, Laura Pritschet, Caitlin M. Taylor, Emily G. Jacobs and Regina C. Lapate ()
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Jingyi Wang: University of California, Santa Barbara
Arielle Tambini: Nathan S. Kline Institute for Psychiatric Research
Laura Pritschet: University of California, Santa Barbara
Caitlin M. Taylor: University of California, Santa Barbara
Emily G. Jacobs: University of California, Santa Barbara
Regina C. Lapate: University of California, Santa Barbara

Nature Communications, 2025, vol. 16, issue 1, 1-14

Abstract: Abstract Changes in task-evoked activity in the entorhinal cortex (EC) and hippocampus have been shown to track changes in temporal context at short and long timescales. However, whether spontaneous changes in EC and hippocampal neural signals—in the absence of task demands—likewise reflect the passage of time remains unknown. Here, we leveraged a dense-sampling study in which two individuals underwent daily resting-state fMRI for 30 days. Similarity in EC- and anterior hippocampal-whole-brain resting connectivity patterns was negatively correlated with the time interval between sessions, suggesting a spontaneous, slow-drifting neural signature of time. These changes could not be explained by other time-varying factors (including session-wise changes in mood, hormones, or motion). Hippocampal connectivity temporal drifts followed an anterior-to-posterior gradient, and anterolateral EC showed stronger temporal drift than posteromedial EC. Finally, posterior networks (including visual and default mode) primarily drove drifts in EC- and hippocampal-whole-brain connectivity over time. Collectively, these findings reveal a resting-state connectivity signature that reflects the passage of time in the absence of task demands and follows a functional gradient along the longitudinal axis of the hippocampus.

Date: 2025
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DOI: 10.1038/s41467-025-63633-6

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