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Post-learning Hippocampal Dynamics Promote Preferential Retention of Rewarding Events
Open accessAbstract
Reward motivation is known to modulate memory encoding, and this effect depends on interactions between the substantia nigra/ventral tegmental area complex (SN/VTA) and the hippocampus. It is unknown, however, whether these interactions influence offline neural activity in the human brain that is thought to promote memory consolidation. Here we used fMRI to test the effect of reward motivation on post-learning neural dynamics and subsequent memory for objects that were learned in high- and low-reward motivation contexts. We found that post-learning increases in resting-state functional connectivity between the SN/VTA and hippocampus predicted preferential retention of objects that were learned in high-reward contexts. In addition, multivariate pattern classification revealed that hippocampal representations of high-reward contexts were preferentially reactivated during post-learning rest, and the number of hippocampal reactivations was predictive of preferential retention of items learned in high-reward contexts. These findings indicate that reward motivation alters offline post-learning dynamics between the SN/VTA and hippocampus, providing novel evidence for a potential mechanism by which reward could influence memory consolidation.
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“Signs of reward-related biasing of reactivations during sleep and wake have been likewise observed in humans using fMRI.”
From Sleep—A brain-state serving systems memory consolidation (2023) · cites this paper as [147]
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Metadata
- Authors
- Gruber, M. J., Ritchey, M., Wang, S.-F., Doss, M. K., & Ranganath, C.
- Affiliations
- University of California, Davis (US)
- Corresponding author
- Gruber, Matthias J.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2016-03
- Volume
- 89
- Issue
- 5
- Pages
- 1110-1120
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4777629
- OpenAlex
- W2257753958
- Cited by
- 212
- References
- 67
- Citations by year
- 2026: 10 · 2025: 19 · 2024: 27 · 2023: 18 · 2022: 25 · 2021: 28 · 2020: 17 · 2019: 21 · 2018: 24 · 2017: 16 · 2016: 7
- FWCI
- 14.41
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- ORCA Online Research @Cardiff (Cardiff University) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Office of Naval Research (N00014-15-1-0033)
- Guggenheim Fellowship
- Parke-Davis Exchange Fellowship from the University of Cambridge
- Visiting Professorship from the Leverhulme Trust
- K99 NIH Pathway to Independence Award (K99MH103401)
- German Academic Exchange Service
- German Research Foundation
- 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
- reward motivation, memory consolidation, hippocampus, substantia nigra/ventral tegmental area, resting-state functional connectivity, hippocampal reactivation, object memory, reward context
- MeSH terms
- Adult, Brain Mapping, Female, Hippocampus, Humans, Image Processing, Computer-Assisted, Learning, Magnetic Resonance Imaging, Male, Oxygen, Reaction Time, Retention, Psychology, Reward, Young Adult
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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