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Aging alters neural activity at event boundaries in the hippocampus and Posterior Medial network
Open accessAbstract
Recent research has highlighted a role for the hippocampus and a Posterior Medial cortical network in signaling event boundaries. However, little is known about whether or how these neural processes change over the course of healthy aging. Here, 546 cognitively normal participants 18–88 years old viewed a short movie while brain activity was measured using fMRI. The hippocampus and regions of the Posterior Medial network show increased activity at event boundaries, but these boundary-evoked responses decrease with age. Boundary-evoked activity in the posterior hippocampus predicts performance on a separate test of memory for stories, suggesting that hippocampal activity during event segmentation may be a broad indicator of individual differences in episodic memory ability. In contrast, boundary-evoked responses in the medial prefrontal cortex and middle temporal gyrus increase across the age range. These findings suggest that aging may alter neural processes for segmenting and remembering continuous real-world experiences.
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“At such transitions, activity in the prefrontal cortex (PFC) intensifies, hippocampal activation increases, and interactions between the hippocampus and PFC, collectively facilitating memory formation [35, 55].”
From HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues (2026) · cites this paper as [35]
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“The DMN has also been shown to represent event boundaries in both external narratives 96,97 and internally generated boundaries of mental context during unguided narrative recall, 98 with neural patterns that generalize across both internally and externally driven boundaries being most strongly observed in the PCC and RSC.”
From 20 years of the default mode network: A review and synthesis. (2023) · cites this paper as [96]
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Desikan, R. S., Ségonne, F., Fischl, B., Quinn, B. T., Dickerson, B. C., Blacker, D., Buckner, R. L., Dale, A. M., Maguire, R. P., Hyman, B. T., et al. (2006) · NeuroImage · doi:10.1016/j.neuroimage.2006.01.021 · Cited by 13,324
Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., et al. (2011) · Alzheimer's & Dementia · doi:10.1016/j.jalz.2011.03.003 · Cited by 7,155
The adaptive brain: aging and neurocognitive scaffolding
Park, D. C., & Reuter-Lorenz, P. (2009) · Annual Review of Psychology · doi:10.1146/annurev.psych.59.103006.093656 · Cited by 2,790
Buckner, R. L., Snyder, A. Z., Shannon, B. J., LaRossa, G., Sachs, R., Fotenos, A. F., Sheline, Y. I., Klunk, W. E., Mathis, C. A., Morris, J. C., et al. (2005) · The Journal of Neuroscience · doi:10.1523/jneurosci.2177-05.2005 · Cited by 2,140
Disruption of Large-Scale Brain Systems in Advanced Aging
Andrews-Hanna, J. R., Snyder, A. Z., Vincent, J. L., Lustig, C., Head, D., Raichle, M. E., & Buckner, R. L. (2007) · Neuron · doi:10.1016/j.neuron.2007.10.038 · Cited by 1,592
Imaging β-amyloid burden in aging and dementia
Rowe, C. C., Ng, S., Ackermann, U., Gong, S. J., Pike, K., Savage, G., Cowie, T. F., Dickinson, K. L., Maruff, P., Darby, D., et al. (2007) · Neurology · doi:10.1212/01.wnl.0000261919.22630.ea · Cited by 1,104
Discovering Event Structure in Continuous Narrative Perception and Memory
Baldassano, C., Chen, J., Zadbood, A., Pillow, J. W., Hasson, U., & Norman, K. A. (2017) · Neuron · doi:10.1016/j.neuron.2017.06.041 · Cited by 952
Delay-dependent contributions of medial temporal lobe regions to episodic memory retrieval
Ritchey, M., Montchal, M. E., Yonelinas, A. P., & Ranganath, C. (2015) · eLife · doi:10.7554/elife.05025 · Cited by 148
Does mental context drift or shift?
DuBrow, S., Rouhani, N., Niv, Y., & Norman, K. A. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.08.003 · Cited by 118
Flagged first, then by citations
Research works printed but not linked: 47
- Zacks, J. M. & Swallow, K. M. Event segmentation. Curr. Dir. Psychol. Sci.16, 80–84 (2007). · DOI · Paper page
- Zacks, J. M., Speer, N. K., Swallow, K. M., Braver, T. S. & Reynolds, J. R. Event perception: a mind-brain perspective. Psychological Bull.133, 273 (2007). · DOI · Paper page
- Kurby, C. A. & Zacks, J. M. Segmentation in the perception and memory of events. Trends Cogn. Sci.12, 72–79 (2008). · DOI · Paper page
- Radvansky, G. A. Across the event horizon. Curr. Dir. Psychol. Sci.21, 269–272 (2012). · DOI
- Sargent, J. Q. et al. Event segmentation ability uniquely predicts event memory. Cognition129, 241–255 (2013). · DOI · Paper page
- Ben-Yakov, A. & Henson, R. N. The hippocampal film editor: sensitivity and specificity to event boundaries in continuous experience. J. Neurosci.38, 10057–10068 (2018). · DOI
- Ranganath, C. & Ritchey, M. Two cortical systems for memory-guided behaviour. Nat. Rev. Neurosci.13, 713 (2012). · DOI · Paper page
- Ritchey, M., Libby, L. A. & Ranganath, C. Cortico-hippocampal systems involved in memory and cognition: the PMAT framework. Prog. Brain Res.219, 45–64 (2015). · DOI
- Reagh, Z. M. & Ranganath, C. What does the functional organization of cortico-hippocampal networks tell us about the functional organization of memory? Neurosci. Lett.680, 69–76 (2018). · DOI · Paper page
- Radvansky, G. A. & Zacks, J. M. Event boundaries in memory and cognition. Curr. Opin. Behav. Sci.17, 133–140 (2017). · DOI
- Zacks, J. M., Speer, N. K., Vettel, J. M. & Jacoby, L. L. Event understanding and memory in healthy aging and dementia of the Alzheimer type. Psychol. Aging21, 466 (2006). · DOI
- Kurby, C. A. & Zacks, J. M. Age differences in the perception of hierarchical structure in events. Mem. Cogn.39, 75–91 (2011). · DOI
- Bailey, H. R. et al. Medial temporal lobe volume predicts elders’ everyday memory. Psychol. Sci.24, 1113–1122 (2013). · DOI
- Kurby, C. A., Asiala, L. K. & Mills, S. R. Aging and the segmentation of narrative film. Aging, Neuropsychol. Cogn.21, 444–463 (2014). · DOI
- Radvansky, G. A. & Dijkstra, K. Aging and situation model processing. Psychon. Bull. Rev.14, 1027–1042 (2007). · DOI
- Kurby, C. A. & Zacks, J. M. Preserved neural event segmentation in healthy older adults. Psychol. Aging33, 232 (2018). · DOI
- Cabeza, R., Nyberg, L. & Park, D. C. Cognitive Neuroscience of Aging: Linking Cognitive and Cerebral Aging (Oxford University Press, UK, 2016). · DOI
- Yassa, M. A. et al. Pattern separation deficits associated with increased hippocampal CA3 and dentate gyrus activity in nondemented older adults. Hippocampus21, 968–979 (2011). · DOI · Paper page
- Reagh, Z. M. et al. Functional imbalance of anterolateral entorhinal cortex and hippocampal dentate/CA3 underlies age-related object pattern separation deficits. Neuron97, 1187–1198 (2018). · DOI
- Staffaroni, A. M. et al. The longitudinal trajectory of default mode network connectivity in healthy older adults varies as a function of age and is associated with changes in episodic memory and processing speed. J. Neurosci.38, 2809–2817 (2018). · DOI
- Bai, F. et al. Default-mode network activity distinguishes amnestic type mild cognitive impairment from healthy aging: a combined structural and resting-state functional MRI study. Neurosci. Lett.438, 111–115 (2008). · DOI
- Mevel, K., Chételat, G., Eustache, F. & Desgranges, B. The default mode network in healthy aging and Alzheimer’s disease. Int. J. Alzheimers Dis.2011, 535816 (2011).
- Shafto, M. A. et al. The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) study protocol: a cross-sectional, lifespan, multidisciplinary examination of healthy cognitive ageing. BMC Neurol.14, 204 (2014). · DOI
- Taylor, J. R. et al. The Cambridge Centre for Ageing and Neuroscience (Cam-CAN) data repository: structural and functional MRI, MEG, and cognitive data from a cross-sectional adult lifespan sample. Neuroimage144, 262–269 (2017). · DOI
- Libby, L. A., Ekstrom, A. D., Ragland, J. D. & Ranganath, C. Differential connectivity of perirhinal and parahippocampal cortices within human hippocampal subregions revealed by high-resolution functional imaging. J. Neurosci.32, 6550–6560 (2012). · DOI
- Hasson, U., Malach, R. & Heeger, D. J. Reliability of cortical activity during natural stimulation. Trends Cogn. Sci.14, 40–48 (2010). · DOI
- Wittmann, B. C., Bunzeck, N., Dolan, R. J. & Düzel, E. Anticipation of novelty recruits reward system and hippocampus while promoting recollection. Neuroimage38, 194–202 (2007). · DOI
- Schultz, W. Predictive reward signal of dopamine neurons. J. Neurophysiol.80, 1–27 (1998). · DOI · Paper page
- Shohamy, D. & Adcock, R. A. Dopamine and adaptive memory. Trends Cogn. Sci.14, 464–472 (2010). · DOI
- Zacks, J. M. et al. Human brain activity time-locked to perceptual event boundaries. Nat. Neurosci.4, 651 (2001). · DOI · Paper page
- Magliano, J. P. & Zacks, J. M. The impact of continuity editing in narrative film on event segmentation. Cogn. Sci.35, 1489–1517 (2011). · DOI
- Zacks et al. The brain’s cutting-room floor: segmentation of narrative cinema. Front. Hum. Neurosci.4, 168 (2010). · DOI
- DuBrow, S. & Davachi, L. Temporal binding within and across events. Neurobiol. Learn. Mem.134, 107–114 (2016). · DOI · Paper page
- Clewett, D., DuBrow, S. & Davachi, L. Transcending time in the brain: how event memories are constructed from experience. Hippocampus29, 162–183 (2019). · DOI
- D’Esposito, M., Deouell, L. Y. & Gazzaley, A. Alterations in the BOLD fMRI signal with ageing and disease: a challenge for neuroimaging. Nat. Rev. Neurosci.4, 863 (2003). · DOI
- Davis, S. W., Dennis, N. A., Daselaar, S. M., Fleck, M. S. & Cabeza, R. Que PASA? The posterior–anterior shift in aging. Cereb. Cortex18, 1201–1209 (2007). · DOI
- Sekeres, M. J., Winocur, G. & Moscovitch, M. The hippocampus and related neocortical structures in memory transformation. Neurosci. Lett.680, 39–53 (2018). · DOI · Paper page
- Campbell, K. L. et al. Idiosyncratic responding during movie-watching predicted by age differences in attentional control. Neurobiol. Aging36, 3045–3055 (2015). · DOI
- Geerligs, L. & Campbell, K. L. Age-related differences in information processing during movie watching. Neurobiol. Aging72, 106–120 (2018). · DOI
- Pike, K. E. et al. β-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer’s disease. Brain130, 2837–2844 (2007). · DOI · Paper page
- Rentz, D. M. et al. Cognition, reserve, and amyloid deposition in normal aging. Ann. Neurol.67, 353–364 (2010). · DOI
- Greicius, M. D., Srivastava, G., Reiss, A. L. & Menon, V. Default-mode network activity distinguishes Alzheimer’s disease from healthy aging: evidence from functional MRI. Proc. Natl Acad. Sci.101, 4637–4642 (2004). · DOI · Paper page
- Sorg, C. et al. Selective changes of resting-state networks in individuals at risk for Alzheimer’s disease. Proc. Natl Acad. Sci.104, 18760–18765 (2007). · DOI · Paper page
- Jones, D. T. et al. Cascading network failure across the Alzheimer’s disease spectrum. Brain139, 547–562 (2016). · DOI
- Maass, A. et al. Alzheimer’s pathology targets distinct memory networks in the ageing brain. Brain142, 2492–2509 (2019). · DOI
- Siciliano, M. et al. The Addenbrooke’s Cognitive Examination Revised (ACE-R) and its sub-scores: normative values in an Italian population sample. Neurol. Sci.37, 385–392 (2016). · DOI
- Abikoff, H. et al. Logical memory subtest of the Wechsler Memory Scale: age and education norms and alternate-form reliability of two scoring systems. J. Clin. Exp. Neuropsychol.9, 435–448 (1987). · DOI
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Sorted by citations
20 years of the default mode network: A review and synthesis.
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Barnett, A. J., Nguyen, M., Spargo, J., Yadav, R., Cohn-Sheehy, B. I., & Ranganath, C. (2024) · Neuron · doi:10.1016/j.neuron.2023.10.010 · Cited by 55
From remembering to reconstruction: The transformative neural representation of episodic memory.
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HingeMem: Boundary Guided Long-Term Memory with Query Adaptive Retrieval for Scalable Dialogues
Zhong, Y., Gao, Y., & Wang, H. (2026) · Proceedings of the ACM Web Conference 2026 · doi:10.1145/3774904.3792089 · Cited by 1
Metadata
- Authors
- Reagh, Z. M., Delarazan, A. I., Garber, A., & Ranganath, C.
- Affiliations
- Washington University in St. Louis (US)
- University of California, Davis (US)
- Corresponding author
- Reagh, Zachariah M.
- Venue
- Nature Communications
- Published
- 2020-08-07
- Volume
- 11
- Issue
- 1
- Pages
- 3980-3980
- ISSN
- 2041-1723 (ISSN-L)
- PMC
- PMC7414222
- OpenAlex
- W3048003836
- Cited by
- 119
- References
- 9
- Citations by year
- 2026: 10 · 2025: 22 · 2024: 18 · 2023: 16 · 2022: 19 · 2021: 31 · 2020: 3
- FWCI
- 9.27
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Nature Communications (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Funders
- U.S. Department of Health & Human Services | NIH | National Institute on Aging (T32AG050061, 1R03AG063224-01)
- UC Davis Alzheimer's Disease Center Pilot Grant
- United States Department of Defense | United States Navy | Office of Naval Research (N00014-15-1-0033)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- healthy aging, event boundaries, event segmentation, hippocampus, medial prefrontal cortex, middle temporal gyrus, episodic memory, story recall, individual differences in memory
- MeSH terms
- Adolescent, Adult, Aged, Aged, 80 and over, Aging, Female, Hippocampus, Humans, Male, Middle Aged, Neurons, Oxygen, Time Factors, Linear Models, Ventral Thalamic Nuclei, Young Adult
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