Meta-analysis of computerised working memory training: behavioural gains, training parameters, transfer mechanisms, and neural correlates

Working memory training (WMT) is widely used to enhance cognitive task performance, yet traditional delivery poses challenges for sustained implementation; computerised working memory training (CWMT) provides a scalable digital format with standardised delivery and integrated monitoring and feedback. We conducted the first meta-analysis integrating behavioural and neuroimaging evidence to quantify the behavioural effects and neural correlates of CWMT, drawing on 45 neuroimaging studies. Multivariate meta-analysis indicated a moderate benefit of CWMT relative to controls (Hedges' g = 0.503, 95% CI [0.363-0.642]). Seed-based d mapping (SDM) identified training-related decreases in activation in the left angular gyrus (L-AG), bilateral superior frontal gyrus (SFG), right inferior parietal lobule (R-IPL), left cerebellum, and right middle frontal gyrus (R-MFG), a pattern compatible with reduced recruitment following training. Moderator analyses showed significant effects of task type, training compliance, total training dose, and age, but not cognitive status and sex. Moreover, CWMT-induced brain activation changes were associated with behavioural improvements, and significant co-activation was observed among the brain regions identified in the overall analysis. Together, these findings provide convergent evidence that CWMT is associated with improved cognitive task performance and reproducible modulation of task-related activation, supporting its relevance as a scalable digital approach to cognitive health.

Authors

Institutions

Publication Details

Journal
npj Digital Medicine
Published
2026-03-12
DOI
https://doi.org/10.1038/s41746-026-02478-9
Primary Topic
Cognitive Abilities and Testing
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Meta-analysis of computerised working memory training: behavioural gains, training parameters, transfer mechanisms, and neural correlates

Geng Li, Antao Chen, Yang Liu
npj Digital Medicine
Cognitive Abilities and Testing
article

Meta-analysis of computerised working memory training: behavioural gains, training parameters, transfer mechanisms, and neural correlates

Geng Li, Antao Chen, Yang Liu
article en

Abstract

Working memory training (WMT) is widely used to enhance cognitive task performance, yet traditional delivery poses challenges for sustained implementation; computerised working memory training (CWMT) provides a scalable digital format with standardised delivery and integrated monitoring and feedback. We conducted the first meta-analysis integrating behavioural and neuroimaging evidence to quantify the behavioural effects and neural correlates of CWMT, drawing on 45 neuroimaging studies. Multivariate meta-analysis indicated a moderate benefit of CWMT relative to controls (Hedges' g = 0.503, 95% CI [0.363-0.642]). Seed-based d mapping (SDM) identified training-related decreases in activation in the left angular gyrus (L-AG), bilateral superior frontal gyrus (SFG), right inferior parietal lobule (R-IPL), left cerebellum, and right middle frontal gyrus (R-MFG), a pattern compatible with reduced recruitment following training. Moderator analyses showed significant effects of task type, training compliance, total training dose, and age, but not cognitive status and sex. Moreover, CWMT-induced brain activation changes were associated with behavioural improvements, and significant co-activation was observed among the brain regions identified in the overall analysis. Together, these findings provide convergent evidence that CWMT is associated with improved cognitive task performance and reproducible modulation of task-related activation, supporting its relevance as a scalable digital approach to cognitive health.

npj Digital Medicine
Jishou University (CN), Shanghai Jiao Tong University (CN), Shanghai University of Sport (CN), Shanghai Mental Health Center (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 29%
Cognitive Abilities and Testing
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.