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Record W7108339027 · doi:10.21810/cujcs.v8i1.7206

Memory, Mood, and Identity: Episodic Memory Impairments and the Loss of Diachronic Unity in Depression

2025· article· W7108339027 on OpenAlexaff

Bibliographic record

VenueCanadian Undergraduate Journal of Cognitive Science · 2025
Typearticle
Language
FieldNeuroscience
TopicSleep and Wakefulness Research
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsEpisodic memoryAutobiographical memoryRecallReconstructive memoryChronesthesiaCognitionSemantic memoryMemory errors

Abstract

fetched live from OpenAlex

Tulving proposed that episodic memory is not merely a record of past events, but a form of mental time travel, characterized by autonoetic consciousness (Tulving, 2005). From this view, episodic memory allows for the diachronic unity of self by preserving the subjective sense that “I” was the one who lived the remembered experience. In contrast, Conway and Pleydell-Pearce argued that continuity of self is actively constructed by the conceptual self, which selects and distorts past experiences to maintain a coherent narrative (Conway, 2005; Conway & Pleydell-Pearce, 2000). Despite offering opposing accounts of how self-continuity arises, both frameworks converge on a central claim: that episodic memory plays a constitutive role in maintaining a unified sense of self over time. But what happens when this system is disrupted? In depressive disorders, episodic recall becomes overgeneral and biased toward negatively valenced content (Williams et al., 2007). Such cognitive distortions may not merely reflect depressive symptoms, but instead contribute to a fragmented self-concept. Given the role of episodic memory in maintaining a continuous sense of self, I argue that the episodic memory impairments associated with depression disrupt continuous self-concept. Moreover, alterations to sleep architecture in major depressive disorder (MDD), including reduced slow-wave sleep (SWS) and disrupted rapid eye movement (REM) patterns, are thought to exacerbate cognitive biases in episodic memory (Harrington et al., 2023). Thus, interventions targeting sleep quality hold promise for alleviating cognitive distortions and strengthening self-continuity in depression.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.017
GPT teacher head0.317
Teacher spread0.300 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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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