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Hippocampal sharp-wave ripples linked to visual episodic recollection in humans
Abstract
Sharp-wave ripples in the hippocampus: What are the brain mechanisms responsible for episodic memory retrieval? Norman et al. investigated epilepsy patients who had electrodes implanted in the hippocampus and a variety of cortical areas. Using a visual learning paradigm, they examined the temporal relationship between the incidence of hippocampal sharp-wave ripples and recall. Effective encoding of visual information was associated with higher incidence of ripples. Successful recall was preceded by an increased probability of ripples, which were also associated with transient reemergence of activation patterns in higher visual cortical areas. Hippocampal ripples may thus boost recollections during episodic memory retrieval. Science , this issue p. eaax1030
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“although hippocampal sharp-wave-ripples have been linked to visual episodic memory recall in humans [117], they do not necessarily represent the neural markers of subjective experience in non-human animals.”
From Is episodic-like memory like episodic memory? (2024) · cites this paper as [117]
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Cites
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
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
Jenkinson, M., Bannister, P., Brady, M., & Smith, S. (2002) · NeuroImage · doi:10.1006/nimg.2002.1132 · Cited by 11,888
Fast robust automated brain extraction
Smith, S. M. (2002) · Human Brain Mapping · doi:10.1002/hbm.10062 · Cited by 10,496
The control of the false discovery rate in multiple testing under dependency
Benjamini, Y., & Yekutieli, D. (2001) · The Annals of Statistics · doi:10.1214/aos/1013699998 · Cited by 10,490
Oostenveld, R., Fries, P., Maris, E., & Schoffelen, J.-M. (2011) · Computational Intelligence and Neuroscience · doi:10.1155/2011/156869 · Cited by 10,323
Fischl, B. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.021 · Cited by 9,526
Nonparametric statistical testing of EEG- and MEG-data
Maris, E., & Oostenveld, R. (2007) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2007.03.024 · Cited by 8,496
A global optimisation method for robust affine registration of brain images
Jenkinson, M., & Smith, S. M. (2001) · Medical Image Analysis · doi:10.1016/s1361-8415(01)00036-6 · Cited by 7,018
Dimensionality Reduction: A Comparative Review
van der Maaten, L. J. P., Postma, E. O., & van den Herik, H. J. (2009) · Cited by 2,062
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Chung, A., Alipio, J. B., Ghosh, M., Evans, L., Miller, S. M., Goode, T. D., Mehta, I., Ahmed, O. J., & Sahay, A. (2025) · Research Square · doi:10.1101/2025.03.17.643806 · Cited by 1
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Metadata
- Authors
- Norman, Y., Yeagle, E. M., Khuvis, S., Harel, M., Mehta, A. D., & Malach, R.
- Affiliations
- Weizmann Institute of Science (IL)
- Feinstein Institute for Medical Research (US)
- Corresponding author
- Malach, Rafael
- Venue
- Science
- Published
- 2019-08-16
- Volume
- 365
- Issue
- 6454
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2969121629
- Cited by
- 270
- References
- 91
- Citations by year
- 2026: 32 · 2025: 59 · 2024: 53 · 2023: 33 · 2022: 30 · 2021: 32 · 2020: 27 · 2019: 4
- FWCI
- 13.54
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Funders
- United States - Israel Binational Science Foundation (2017015)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- hippocampal ripples, episodic memory, memory retrieval, memory consolidation, memory encoding, intracranial recordings
- MeSH terms
- Adult, Female, Hippocampus, Humans, Male, Middle Aged, Mental Recall, Visual Perception, Wakefulness, Young Adult, Brain Waves, Memory, Episodic
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