Evidence map›Paper›PMID 42651170›Full record

ReviewBrain sciences2026

Behavioral Improvement and Task-Related Brain Activation Following Cognitive Training in Children/Adolescents and Young Adults: A Three-Level Behavioral and Coordinate-Based Neuroimaging Meta-Analysis.

Ting Fan, Chengzhen Liu, Yang Liu, Geng Li

Abstract readReview
In one paragraph

Review in Brain sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

Ting FanSchool of Elementary Education, Hunan First Normal University, Changsha 410205, China.
Chengzhen LiuFaculty of Psychology, Southwest University, Chongqing 400715, China.
Yang LiuSchool of Sports Science, Jishou University, Jishou 416000, China.ORCID 0000-0001-5391-1332
Geng LiSchool of Psychology, Research Center for Exercise and Brain Science, Shanghai University of Sport, Shanghai 200438, China.ORCID 0000-0002-8511-9996

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

objectivesCognitive training provides a framework for examining how repeated practice relates to changes in cognitive performance and task-related brain activation, yet age-stratified patterns of neural effects remain unclear.

methodsWe conducted a three-level behavioral meta-analysis and a coordinate-based Seed-based Mapping (SDM) meta-analysis of task-based neuroimaging studies to jointly examine behavioral improvement and task-related activation convergence following cognitive training.

resultsCognitive training was associated with reliable behavioral improvement at the aggregate level (Hedges' g = 0.546, 95% CI [0.414, 0.678]) and within both children/adolescents and young adults. SDM results indicated that task-related activation changes were spatially heterogeneous and included both increases and decreases across distributed brain regions. In age-stratified analyses, spatial convergence within children/adolescents involved occipital and frontoparietal regions; within young adults, it involved cingulo-insular and posterior midline regions. Exploratory behavioral moderator analyses indicated outcome-dependent variation, with smaller effects for transfer outcomes and larger effects in studies with greater training exposure.

conclusionsBehavioral improvements across included designs were observed in both age groups, whereas task-related activation convergence exhibited spatially heterogeneous, age-stratified patterns. These findings suggest that training-related neural effects are better characterized as spatial convergence patterns across studies rather than as a single uniform activation change. The age-stratified maps describe spatial convergence within each age group and should not be interpreted as statistically established developmental differences.

Indexed as

behavioral improvementchildhoodcognitive trainingmeta-analysistask-based neuroimagingyoung adulthood

Identifiers

PMID42651170
PMCPMC13511496

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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.