Evidence map›Paper›PMID 32060035›Full record

ArticleeNeuro

The Neural Dynamics of Individual Differences in Episodic Autobiographical Memory.

Raluca Petrican, Daniela J Palombo, Signy Sheldon, Brian Levine

Abstract read
In one paragraph

Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Raluca PetricanSchool of Psychology, Cardiff University, Cardiff, Wales CF10 3AT, UK petricanr@cardiff.ac.uk blevine@research.baycrest.org.ORCID 0000-0002-1363-5553
Daniela J PalomboDepartment of Psychology, University of British Columbia, Vancouver, British Columbia V6T 1Z4 Canada.
Signy SheldonDepartment of Psychology, McGill University, Montreal, Quebec H3A 1G1, Canada.
Brian LevineRotman Research Institute and Departments of Psychology and Neurology, University of Toronto, Toronto, Ontario M6A 2E1, Canada petricanr@cardiff.ac.uk blevine@research.baycrest.org.ORCID 0000-0003-4343-811X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to mentally travel to specific events from one's past, dubbed episodic autobiographical memory (E-AM), contributes to adaptive functioning. Nonetheless, the mechanisms underlying its typical interindividual variation remain poorly understood. To address this issue, we capitalize on existing evidence that successful performance on E-AM tasks draws on the ability to visualize past episodes and reinstate their unique spatiotemporal context. Hence, here, we test whether features of the brain's functional architecture relevant to perceptual versus conceptual processes shape individual differences in both self-rated E-AM and laboratory-based episodic memory (EM) for random visual scene sequences (visual EM). We propose that superior subjective E-AM and visual EM are associated with greater similarity in static neural organization patterns, potentially indicating greater efficiency in switching, between rest and mental states relevant to encoding perceptual information. Complementarily, we postulate that impoverished subjective E-AM and visual EM are linked to dynamic brain organization patterns implying a predisposition towards semanticizing novel perceptual information. Analyses were conducted on resting state and task-based fMRI data from 329 participants (160 women) in the Human Connectome Project (HCP) who completed visual and verbal EM assessments, and an independent gender diverse sample (

Indexed as

ConnectomeMemory, EpisodicBrainBrain MappingFemaleHumansIndividualityMagnetic Resonance Imagingautobiographical memorydynamic connectivityepisodic memoryfunctional networks

Identifiers

PMID32060035
PMCPMC7171291

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.