Evidence map›Paper›PMID 32376302›Full record

ArticleNeuroImage2020

Neural correlates of working memory training: Evidence for plasticity in older adults.

Alexandru D Iordan, Katherine A Cooke, Kyle D Moored, Benjamin Katz, Martin Buschkuehl, Susanne M Jaeggi, Thad A Polk, Scott J Peltier, John Jonides, Patricia A Reuter-Lorenz

Open access · goldAbstract read
In one paragraph

Article in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
2.2field-weighted citation impact, top 12% of its field
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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Neural Compensation in the Medial Prefrontal Cortex Preserves Self-Prioritization in Aging: A Computational Approach.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026
    Article
  4. Article
  5. Article
  6. Is working memory domain-general or domain-specific?Trends in cognitive sciences · 2024
    Review
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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

10 authors at 5 institutions in 1 country.

Alexandru D IordanDepartment of Psychology, University of Michigan, 530 Church St, Ann Arbor, MI, 48109, United States. Electronic address: adiordan@umich.edu.
Katherine A CookeDepartment of Psychology, University of Michigan, 530 Church St, Ann Arbor, MI, 48109, United States.
Kyle D MooredDepartment of Mental Health, Bloomberg School of Public Health, Johns Hopkins University, 615 N Wolfe St, Baltimore, MD, 21205, United States.
Benjamin KatzDepartment of Human Development and Family Science, Virginia Tech, 295 W Campus Dr, Blacksburg, VA, 24061, United States.
Martin BuschkuehlMIND Research Institute, 5281 California Ave., Suite 300, Irvine, CA, 92617, United States.
Susanne M JaeggiSchool of Education, University of California, Irvine, 3200 Education Bldg, Irvine, CA, 92697, United States.
Thad A PolkDepartment of Psychology, University of Michigan, 530 Church St, Ann Arbor, MI, 48109, United States.
Scott J PeltierFunctional MRI Laboratory, Department of Biomedical Engineering, University of Michigan, 2360 Bonisteel Blvd, Ann Arbor, MI, 48109, United States.
John JonidesDepartment of Psychology, University of Michigan, 530 Church St, Ann Arbor, MI, 48109, United States.
Patricia A Reuter-LorenzDepartment of Psychology, University of Michigan, 530 Church St, Ann Arbor, MI, 48109, United States. Electronic address: parl@umich.edu.
University of Michigan–Ann Arbor · USJohns Hopkins University · USMIND Research Institute · USUniversity of California, Irvine · USVirginia Tech · US

Funding

EPIDEMIOLOGY AND BIOSTATISTICS OF AGINGT32AG000247 · NIA · JOHNS HOPKINS UNIVERSITY · PI Karen J. Bandeen-Roche · 1996 to 2026
$13.2M
MRI Scanner for Functional Brain ImagingS10OD012240 · OD · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI NOLL, DOUGLAS C · 2012 to 2012
$2.0M
Working Memory Training, Neural Correlates, and AgingR21AG045460 · NIA · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI REUTER-LORENZ, PATRICIA A. · 2014 to 2015
$420k
NIA NIH HHS R21 AG045460NIA NIH HHS T32 AG000247NIH HHS S10 OD012240
6 · The paper itself

Abstract

Brain activity typically increases with increasing working memory (WM) load, regardless of age, before reaching an apparent ceiling. However, older adults exhibit greater brain activity and reach ceiling at lower loads than younger adults, possibly reflecting compensation at lower loads and dysfunction at higher loads. We hypothesized that WM training would bolster neural efficiency, such that the activation peak would shift towards higher memory loads after training. Pre-training, older adults showed greater recruitment of the WM network than younger adults across all loads, with decline at the highest load. Ten days of adaptive training on a verbal WM task improved performance and led to greater brain responsiveness at higher loads for both groups. For older adults the activation peak shifted rightward towards higher loads. Finally, training increased task-related functional connectivity in older adults, both within the WM network and between this task-positive network and the task-negative/default-mode network. These results provide new evidence for functional plasticity with training in older adults and identify a potential signature of improvement at the neural level.

Indexed as

AgedAgingBrainBrain MappingCognitionExecutive FunctionFemaleHumansLearningMagnetic Resonance ImagingMaleMemory, Short-TermNerve NetNeural PathwaysNeuronal PlasticityPsychomotor PerformanceAgingCognitive trainingDefault-modeExecutive functionsFronto-parietal

Identifiers

PMID32376302
PMCPMC7755422
OpenAlexW3021313205

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.