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

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.

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Publication Details

Journal
Nature Communications
Published
2025-10-03
DOI
https://doi.org/10.1038/s41467-025-63633-6
Citations
4
Primary Topic
Memory and Neural Mechanisms
Type
article
Field-Weighted Citation Impact
5.72

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article

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

Arielle Tambini, Laura Pritschet, Regina C. Lapate, Emily Goard Jacobs et al.
4 citations
Nature Communications
Memory and Neural Mechanisms
5.72
article

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

Arielle Tambini, Laura Pritschet, Regina C. Lapate, Emily Goard Jacobs, Jingyi Wang, Caitlin M. Taylor
article en
4 citations

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.

Nature CommunicationsVol. 16(1)
Nathan Kline Institute for Psychiatric Research (US), University of California, Santa Barbara (US), New York University (US), University of Pennsylvania (US)
National Institutes of Health, National Institute of Mental Health
Openalex Percentile: Top 4%
Memory and Neural Mechanisms
5.72
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