Evidence map›Paper›PMID 39913469›Full record

ArticlePsychology and aging2025

Neural biomarkers of age-related memory change.

Adam W Broitman, M Karl Healey, Michael J Kahana

Abstract read
In one paragraph

Article in Psychology and aging, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Article
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.

Adam W BroitmanDepartment of Psychology, University of Pennsylvania.ORCID 0000-0003-0419-9128
M Karl HealeyDepartment of Psychology, Michigan State University.ORCID 0000-0002-2816-3536
Michael J KahanaDepartment of Psychology, University of Pennsylvania.ORCID 0000-0001-8122-9525

Funding

Associative Processes in Episodic MemoryR01MH055687 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI KAHANA, MICHAEL JACOB · 2002 to 2024
$7.9M
Associative Processes in Episodic MemoryRF1MH055687 · NIMH · UNIVERSITY OF PENNSYLVANIA · PI KAHANA, MICHAEL JACOB · 2025 to 2025
$1.1M
MATHEMATICAL MODELS OF HUMAN MEMORYR29MH055687 · NIMH · BRANDEIS UNIVERSITY · PI KAHANA, MICHAEL JACOB · 1997 to 2001
$218k
NIH HHSNIMH NIH HHS R01 MH055687NIMH NIH HHS R29 MH055687NIMH NIH HHS RF1 MH055687
6 · The paper itself

Abstract

The present study investigates whether electroencephalogram activity reflects age-related memory changes during encoding. We recorded scalp electroencephalogram in 151 young adults (aged 18-30) and 37 older adults (aged 60-85) as they memorized lists of words. Participants studied the word lists either under full attention or while performing a secondary task that required them to make semantic judgments about each word. Although the secondary task reduced recall among all participants, differences in recall performance between the age groups were smaller when participants performed a secondary task at encoding. Older adults also exhibited distinct neural subsequent memory effects, characterized by less negativity in the alpha frequencies compared to young adults. Multivariate classifiers trained on neural features successfully predicted subsequent memory at the trial level in both young and older adults, and captured the differential effects of task demands on memory performance between young and older adults. The findings indicate that neural biomarkers of successful memory vary with both cognitive aging and task demands. (PsycInfo Database Record (c) 2025 APA, all rights reserved).

Indexed as

AgingCognitive AgingMemoryMental RecallAdolescentAdultAgedAged, 80 and overBiomarkersElectroencephalographyFemaleHumansMaleMiddle AgedYoung AdultBiomarkers

Identifiers

PMID39913469
PMCPMC12132921

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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.