Evidence map›Paper›PMID 42426120›Full record

ArticleScientific reports2026

Neural pattern stability within events is similar in young and older adults.

Mohsen Davoudkhani, Michael Tollefsrud, Heather Bailey

Abstract read
In one paragraph

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

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Mohsen DavoudkhaniDepartment of Psychological Sciences, Kansas State University, Manhattan, KS, 66506, USA.
Michael TollefsrudDepartment of Psychological Sciences, Kansas State University, Manhattan, KS, 66506, USA.
Heather BaileyDepartment of Psychological Sciences, Kansas State University, Manhattan, KS, 66506, USA. hbailey@ksu.edu.

Funding

The role of prestimulus oscillatory brain dynamics in auditory memoryP20GM113109 · NIGMS · KANSAS STATE UNIVERSITY · PI Maria Magdalena Diehl · 2017 to 2026
$24.1M
The role of prior knowledge and event segmentation in age- and Alzheimer's-related changes in event memoryR01AG075012 · NIA · KANSAS STATE UNIVERSITY · PI Heather Bailey · 2022 to 2026
$1.9M
NIA NIH HHS R01 AG075012NIGMS NIH HHS P20 GM113109NIH HHS R01AG075012-01A1 , P20GM113109
6 · The paper itself

Abstract

Understanding how the brain segments continuous experiences into discrete events is essential for uncovering the mechanisms of episodic memory. Here, we investigated whether stable neural representations are maintained within unfolding events, how these representations differ between young and older adults, and whether they predict later memory. Young (N = 42) and older adults (N = 42) watched a 35-min clip from BBC's Sherlock while EEG was recorded. Using representational similarity analysis, we quantified neural pattern similarity within events and across event boundaries. Neural similarity was significantly higher within events than across events, even after controlling for perceptual changes in the stimulus, indicating stable neural representations during ongoing experience. This within-event neural stability was observed in both young and older adults, although evidence was stronger in young adults. Despite robust neural effects, neither within- nor across-event neural similarity significantly predicted subsequent free recall at the event or subject level. These findings suggest that neural stability reflects top-down maintenance of coherent event representations during perception, rather than directly determining later recall success. Importantly, both age groups showed greater within-event than across-event neural similarity, but follow-up analyses did not provide sufficient evidence to conclude equivalence between younger and older adults.

Indexed as

Cognitive agingEEGEpisodic encodingEvent model maintenanceRepresentational similarity

Identifiers

PMID42426120
PMCPMC13645631

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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.