Evidence map›Paper›PMID 35432071›Full record

SynthesisFrontiers in psychology2022

What Is Targeted When We Train Working Memory? Evidence From a Meta-Analysis of the Neural Correlates of Working Memory Training Using Activation Likelihood Estimation.

Oshin Vartanian, Vladyslava Replete, Sidney Ann Saint, Quan Lam, Sarah Forbes, Monique E Beaudoin, Tad T Brunyé, David J Bryant, Kathryn A Feltman, Kristin J Heaton and 4 more

Open access · goldAbstract readSystematic Review
In one paragraph

Synthesis in Frontiers in psychology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Review
  4. Article
  5. Article
  6. Article
  7. 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

14 authors at 9 institutions in 5 countries.

Oshin VartanianDefence Research and Development Canada, Toronto, ON, Canada.
Vladyslava RepleteDefence Research and Development Canada, Toronto, ON, Canada.
Sidney Ann SaintDefence Research and Development Canada, Toronto, ON, Canada.
Quan LamDefence Research and Development Canada, Toronto, ON, Canada.
Sarah ForbesDefence Research and Development Canada, Toronto, ON, Canada.
Monique E BeaudoinApplied Research Laboratory for Intelligence and Security, University of Maryland, College Park, MD, United States.
Tad T BrunyéU.S. Army DEVCOM Soldier Center, Natick, MA, United States.
David J BryantDefence Research and Development Canada, Toronto, ON, Canada.
Kathryn A FeltmanU.S. Army Aeromedical Research Laboratory, Fort Rucker, AL, United States.
Kristin J HeatonU.S. Army Research Institute of Environmental Medicine, Natick, MA, United States.
Richard A McKinleyU.S. Air Force Research Laboratory, Wright-Patterson Air Force Base, Dayton, OH, United States.
Jan B F Van ErpNetherlands Organization for Applied Scientific Research (TNO), Soesterberg, Netherlands.
Annika VerginBundeswehr Office for Defence Planning, Federal Ministry of Defence, Berlin, Germany.
Annalise WhittakerDefence Science and Technology Laboratory, UK Ministry of Defence, Salisbury, United Kingdom.
Defence Research and Development Canada · CADefence Science and Technology Laboratory · GBFederal Ministry of Defence · DEUnited States Army · USUnited States Army Aeromedical Research Lab · USUnited States Army Combat Capabilities Development Command · USUniversity of Maryland, College Park · USUniversity of Twente · NLWright-Patterson Air Force Base · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Working memory (WM) is the system responsible for maintaining and manipulating information, in the face of ongoing distraction. In turn, WM span is perceived to be an individual-differences construct reflecting the limited capacity of this system. Recently, however, there has been some evidence to suggest that WM capacity can increase through training, raising the possibility that training can functionally alter the neural structures supporting WM. To address the hypothesis that the neural substrates underlying WM are targeted by training, we conducted a meta-analysis of functional magnetic resonance imaging (fMRI) studies of WM training using Activation Likelihood Estimation (ALE). Our results demonstrate that WM training is associated exclusively with decreases in blood oxygenation level-dependent (BOLD) responses in clusters within the fronto-parietal system that underlie WM, including the bilateral inferior parietal lobule (BA 39/40), middle (BA 9) and superior (BA 6) frontal gyri, and medial frontal gyrus bordering on the cingulate gyrus (BA 8/32). We discuss the various psychological and physiological mechanisms that could be responsible for the observed reductions in the BOLD signal in relation to WM training, and consider their implications for the construct of WM span as a limited resource.

Indexed as

cognitive resourceexecutive functionsmeta-analysistrainingworking memory span

Identifiers

PMID35432071
PMCPMC9005969
OpenAlexW4220787406

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.