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Updated: Mar 14, 2026
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Working Memory Training for Older Participants: A Control Group Training Regimen and Initial Intellectual Functioning Assessment
Published on: September 20, 2020
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Meta-analysis of computerised working memory training: behavioural gains, training parameters, transfer mechanisms,
Geng Li1,2, Yang Liu3, Antao Chen4
1Brain Health Institute, National Center for Mental Disorders, Shanghai Mental Health Center, Shanghai Jiao Tong University School of Medicine and School of Psychology, Shanghai, China.
NPJ Digital Medicine
|March 13, 2026
Summary
Computerised working memory training (CWMT) offers a scalable digital approach to enhance cognitive performance. This meta-analysis confirms CWMT
Area of Science:
- Neuroscience
- Cognitive Psychology
- Digital Health
Background:
- Working memory training (WMT) aims to improve cognitive function.
- Traditional WMT delivery faces implementation challenges.
- Computerised WMT (CWMT) offers a scalable, standardized digital solution.
Purpose of the Study:
- To meta-analyze behavioral and neuroimaging data on CWMT.
- To quantify behavioral effects and neural correlates of CWMT.
- To investigate factors influencing CWMT efficacy.
Main Methods:
- Conducted a meta-analysis of 45 neuroimaging studies on CWMT.
- Utilized multivariate meta-analysis and Seed-based d mapping (SDM).
- Performed moderator analyses based on task type, compliance, dose, age, cognitive status, and sex.
Main Results:
- CWMT showed a moderate behavioral benefit (Hedges' g = 0.503).
- Identified decreased activation in brain regions like L-AG, SFG, R-IPL, cerebellum, and R-MFG.
- Training effects were modulated by task type, compliance, dose, and age.
Conclusions:
- CWMT is associated with improved cognitive task performance.
- CWMT reproducibly modulates task-related brain activation, indicating reduced neural recruitment.
- Findings support CWMT as a relevant and scalable digital tool for cognitive health.
