Evidence map›Paper›PMID 39427040›Full record

Trial reportScientific reports2024

Distractor filtering and task load in working memory training in healthy older adults.

Emanuel Geiter, Gresa Mazreku, Martina Foresti, Stefano Magon, Dominique J-F de Quervain, Priska Zuber

Abstract readRandomized Controlled Trial
PubMed Full text at PMC Publisher
In one paragraph

Trial report in Scientific reports, 2024. 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. Article
  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

6 authors.

Emanuel GeiterMedical Image Analysis Center (MIAC AG), Basel, Switzerland.
Gresa MazrekuResearch Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.
Martina ForestiResearch Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.
Stefano MagonRoche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland.
Dominique J-F de QuervainResearch Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland.
Priska ZuberResearch Platform Molecular and Cognitive Neurosciences, University of Basel, Basel, Switzerland. p.zuber@fsw.leidenuniv.nl.

Funding

Universität Basel 3PE1060
6 · The paper itself

Abstract

Filtering efficiency (FE) has been suggested as a task-related process of working memory (WM) in older adults, but the interaction of distractors with WM when implemented as a training to improve WM capacity is unclear. To investigate the effect of manipulations of WM and/or FE load in a multicomponent model-based WM training in improving WM capacity. 205 healthy older adults (129 women; aged 64.0 ± 8.3 years) were randomised into three WM training groups with manipulations of WM and FE load (high WM; low FE load, high WM; high FE load and low WM; high FE load). All groups underwent three online cognitive testing sessions and twelve 40-min training sessions over three weeks using the SmartBrain smartphone application. WM capacity was measured with complex span tasks and FE using the Change Detection Task. Linear mixed-effect models adjusted for age, sex, education and pre-baseline performance showed increased WM capacity post-training, but no difference between groups. While both distractors and WM are needed to improve WM in the absence of distraction, manipulations of the FE and WM load do not influence improvements following training.

Indexed as

Memory, Short-TermAgedAttentionCognitionCognitive TrainingFemaleHumansMaleMiddle AgedNeuropsychological TestsFiltering efficiencyHealthy agingTrainingWorking memory

Identifiers

PMID39427040
PMCPMC11490496

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.