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Record W7117723210 · doi:10.2196/76946

Shadow-Induced Forgetting in a Game-Based Paradigm on Nonclinical Adults and Its Effects on Consciousness, Emotional Valence, and Temporal Dynamics: Crossover Study

2025· article· en· W7117723210 on OpenAlexvenueno aff
Yoon Jin Cho, Ka Hyun Kim, Da Won Suh, In Seong Baek, Jung Hun Phee, Jae Yong Yu, Yu Rang Park

Bibliographic record

VenueJMIR Serious Games · 2025
Typearticle
Languageen
FieldNeuroscience
TopicMemory Processes and Influences
Canadian institutionsnot available
Fundersnot available
KeywordsForgettingStress (linguistics)Motivated forgettingCrossoverRecallRetrieval-induced forgettingWork (physics)

Abstract

fetched live from OpenAlex

Background: Memory suppression transiently disrupts hippocampal activity, leading to suppression-induced forgetting, especially for negative stimuli. However, traditional paradigms such as Think/No-Think rely on explicit control and lack ecological validity. This study introduces a game-based task that implicitly elicits suppression through reversed motor mappings, providing a naturalistic approach to studying memory inhibition. Objective: This study aims to examine how shadow-induced forgetting (ShIF) varies across short-term and long-term intervals (0 hours, 24 hours, and 72 hours), under conscious versus unconscious exposure, and between positive and negative emotional stimuli. Methods: This single-center, within-subjects experimental study involved 56 university students (mean age 23.37, SD 1.84 years) and was conducted between December 1, 2023, and March 1, 2024. Participants learned 36 cue-target image pairs varying in emotional valence (positive and negative). They underwent a game-based paradigm where habitual motor responses were disrupted through reversed key mappings to induce an amnesic shadow. During gameplay, selected cues were presented either consciously or unconsciously, while others served as controls. Memory performance was assessed using Metric for Evaluation of Translation with Explicit Ordering scores (semantic similarity) immediately after intervention (0 hour) and again at 24 hours and 72 hours. Electroencephalography was recorded in a subset of 40 participants to examine neural correlates of memory suppression. Results: ShIF effects were short-term, conscious-dependent, and selective for negative memories. A significant interaction between exposure condition and time (F₃.₆₂,₁₉₉.₃₃=2.7, P=.04, η²p=0.05, 95% CI 0.00-1.00) indicated that the effect varied across time points. Specifically, a significant ShIF effect emerged immediately after the intervention (0 hour) in the conscious condition (t₅₅=-2.86, P=.02, d=0.38) but was absent in the unconscious condition and dissipated by 72 hours. Robust main effects of time (F₂,₁₀₉.₉₉=102.91, P<.001, η²p=0.65, 95% CI 0.57-1.00) and emotional valence (F₁,₅₅=42.43, P<.001, η²p=0.44, 95% CI 0.27-1.00) showed that overall recall declined over time and was consistently lower for negative images. Electroencephalography analyses revealed enhanced right frontal beta (FC6, F4, and F8: P<.001) and posterior gamma (O1: P<.001, O2: P<.001, and P8: P=.002) activity during suppression of negative cues, reflecting neural inhibition processes underlying ShIF. Conclusions: ShIF occurs primarily for consciously processed negative memories and diminishes over several days, highlighting the temporal and emotional boundaries of intentional forgetting. This study introduces a game-based approach that extends traditional suppression paradigms and offers an ecologically valid framework for investigating memory control. Importantly, we demonstrate that suppression can be induced through a game-based paradigm. By examining emotional valence, exposure condition, and temporal dynamics, we extend previous work focused only on transient effects and clarify the potential for practical implementation in digital therapeutic applications such as posttraumatic stress disorder treatment.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.018
GPT teacher head0.320
Teacher spread0.302 · 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.

Study designObservational
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

Citations0
Published2025
Admission routes1
Has abstractyes

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