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Emotional events induce retrograde memory impairments on conceptually-related neutral events

2025· article· en· W4408310436 on OpenAlexafffund
Jamie Snytte, Tingting Liu, Renée Withnell, M. Natasha Rajah, Signy Sheldon

Bibliographic record

VenueCognition · 2025
Typearticle
Languageen
FieldNeuroscience
TopicMemory and Neural Mechanisms
Canadian institutionsMcGill University
FundersSocial Sciences and Humanities Research Council of CanadaCanada Research Chairs
KeywordsPsychologyCognitive psychologyCognitionAutobiographical memoryDevelopmental psychologyCognitive scienceNeuroscienceRecall

Abstract

fetched live from OpenAlex

Emotional events are known to be prioritized during episodic encoding, leading to more detailed recollections compared to neutral events. Encoding an emotional event can influence the mnemonic fate of preceding or subsequent neutral events. Studies examining the impact of emotion on memory for neighboring neutral events have produced inconsistent results, which could be due to differences in the conceptual association between emotional and neutral stimuli. To test this idea, we conducted two behavioural experiments in which participants viewed one neutral and one emotional video clip from the same television series (Bates Motel) or from two different sources (emotional video from Bates Motel, neutral video from An Education). In both experiments, we manipulated the order in which participants viewed the videos - one group viewed the neutral video before the emotional video and the other group viewed the neutral video after the emotional video - and tested memory for all videos using free recall. We found that encoding a neutral video before, but not after an emotional video impaired recall, illustrating a retrograde impairment. Critically, this impairment only occurred when the videos were conceptually related, as in Experiment 1. In contrast, there was no indication of a retrograde impairment when the videos were not related, as in Experiment 2. Thus, a conceptual relationship is crucial for emotional events to imbue a retrograde impairment on neutral event memory.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.028
Threshold uncertainty score0.824

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.066
GPT teacher head0.323
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

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