Evidence map›Paper›PMID 42104180›Full record

ArticleMemory & cognition2026

Role of sparse episodic information in the progressive construction of event time about unknown narratives.

Federica Procida, Matteo Frisoni, Annalisa Tosoni, Giorgia Committeri, Carlo Sestieri

Abstract read
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In one paragraph

Article in Memory & cognition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Federica ProcidaDepartment of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100, Chieti, Italy. federica.procida@unich.it.ORCID http://orcid.org/0009-0001-6796-554X
Matteo FrisoniCentre for Studies and Research in Cognitive Neuroscience, University of Bologna, Bologna, Italy.
Annalisa TosoniDepartment of Neuroscience, Imaging and Clinical Sciences, ITAB Institute for Advanced Biomedical Technologies, University G. d'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100, Chieti, Italy.
Giorgia CommitteriDepartment of Neuroscience, Imaging and Clinical Sciences, ITAB Institute for Advanced Biomedical Technologies, University G. d'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100, Chieti, Italy.
Carlo SestieriDepartment of Neuroscience, Imaging and Clinical Sciences, University G. d'Annunzio of Chieti-Pescara, Via dei Vestini 31, 66100, Chieti, Italy.

Funding

European Union-NextGenerationEU- Italian Ministry of University and Research (MUR), National Plan for Recovery and Resilience (PNNR) and Projects of National Relevance (PRIN) P2022CWYTJItalian Ministry of Education, University and Research Departments of Excellence 2023-2027
6 · The paper itself

Abstract

Narrative time is essential for understanding and remembering stories. Reconstructive memory theory posits that retrieving past events is not a mere reactivation of the original memory trace but involves a reorganization process informed by a combination of stored memories, general knowledge, and interpretative elements. Recent studies have shown that humans are remarkably accurate in judging the time-of-occurrence of fragments from a previously encoded narrative, but also that expectations and assumptions can compromise their performance. Here, we investigated the mechanism underlying the ability to infer the time-of-occurrence of videoclips extracted from a previously unencoded movie to elucidate the gradual integration of episodic and semantic information during the construction of narrative time. Across four experiments performed by different groups of human participants, we progressively manipulated the amount of available episodic information for the time-estimation task. Compared with the high precision observed for a known (i.e., previously encoded) movie, a robust decrease in performance was observed in the absence of prior encoding, irrespective of task repetitions. Exposing participants to additional episodic information (movie fragments) between task repetitions produced a gradual enhancement in task performance, especially when episodic cues were presented in chronological order. These results suggest that the temporal information provided by episodic cues can be exploited to gradually form a temporal scaffolding of the narrative, filling in the gaps between encoded pieces of information. This temporal representation, in turn, enables the dating of movie fragments, almost as if the movie had been encoded in its entirety.

Indexed as

Causality relationshipsConceptual knowledgeMemory for timePattern completionTemporal structure

Identifiers

PMID42104180

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.