Suppression weakens unwanted memories via a sustained reduction of neural reactivation
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Abstract
Aversive events sometimes turn into intrusive memories. However, prior evidence indicates that such memories can be controlled via a mechanism of retrieval suppression. Here, we test the hypothesis that suppression exerts a sustained influence on memories by deteriorating their neural representations. This deterioration, in turn, would hinder their subsequent reactivation and thus impoverish the vividness with which they can be recalled. In an fMRI study, participants repeatedly suppressed memories of aversive scenes. As predicted, this process rendered the memories less vivid. Using a pattern classifier, we observed that suppression diminished the neural reactivation of scene information both globally across the brain and locally in the parahippocampal cortices. Moreover, the decline in vividness was associated with reduced reinstatement of unique memory representations in right parahippocampal cortex. These results support the hypothesis that suppression weakens memories by causing a sustained reduction in the potential to reactivate their neural representations.
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The recall bias could be particularly pronounced in victims whose victimization experiences occurred several years ago.
“However, also considering potential memory deficits after adverse life events (Meyer & Benoit, 2022; Zoellner et al., 2019), the recall bias (Kihlstrom et al., 2000) could be particularly pronounced in victims whose victimization experiences occurred several years ago.”
From Why They Speak Up (or Don’t): Reasons For and Against Cybergrooming Disclosure Among Adolescent Victims (2025) · cites this paper as Meyer & Benoit, 2022
The Results ('Suppression renders memories less vivid'; page unavailable) report that suppressing memories of aversive scenes reduced their subsequent recall vividness, supporting the cited point that adverse material can be recalled less well. The study tested experimentally suppressed scene memories, not memory deficits following victims’ own adverse life events. The suggestion about victimization several years earlier is the citing authors’ inference, not a finding attributed specifically to Meyer and Benoit. (LLM, conf=0.83)
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From remembering to reconstruction: The transformative neural representation of episodic memory.
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- Authors
- Meyer, A.-K., & Benoit, R. G.
- Affiliations
- Max Planck Institute for Human Cognitive and Brain Sciences (DE)
- Corresponding author
- Meyer, Ann-Kristin
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2022-03-30
- Volume
- 11
- ISSN
- 2050-084X (ISSN-L)
- PMC
- PMC8967383
- OpenAlex
- W4225698209
- Cited by
- 27
- References
- 124
- Citations by year
- 2026: 3 · 2025: 8 · 2024: 6 · 2023: 5 · 2022: 5
- FWCI
- 3.09
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- eLife (publishedVersion, cc-by)
- bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- MPG.PuRe (Max Planck Society) (submittedVersion, other-oa)
- Funders
- Max Planck Society
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Cognitive Functions and Memory
- Keywords
- memory suppression, intrusive memories, aversive memory, memory vividness, neural reactivation, reinstatement, parahippocampal cortex, memory representation
- MeSH terms
- Brain, Brain Mapping, Humans, Magnetic Resonance Imaging, Mental Recall
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.
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