Evidence map›Paper›PMID 41455747›Full record

ArticleScientific data2025

A multi-modal neuroimaging dataset on long-term cognitive training in school children.

Jiali Mu, Tianyong Xu, Ye Xie, Feiyan Chen

Abstract readDataset
In one paragraph

Article in Scientific data, 2025. 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

4 authors.

Jiali MuSchool of Physics, Zhejiang University, Hangzhou, China.
Tianyong XuSchool of Physics, Zhejiang University, Hangzhou, China.
Ye XieSchool of Psychology, Shenzhen University, Shenzhen, China.
Feiyan ChenSchool of Physics, Zhejiang University, Hangzhou, China. chenfy@zju.edu.cn.ORCID http://orcid.org/0000-0003-3730-1651

Funding

National Natural Science Foundation of China (National Science Foundation of China) No.32071096
6 · The paper itself

Abstract

We present a dataset of healthy children (N = 99) to explore the impact of long-term cognitive training on multimodal brain structure, function, and cognitive performance. At the start of primary school, participants were randomly assigned to an experimental group (n = 53), which received five years of structured abacus-based mental calculation (AMC) training from Grade 1 to Grade 5, or a control group (n = 46) without additional training. Neuroimaging data, including resting-state functional MRI and T1-weighted structural MRI, were collected after the first training year (at the start of Grade 2). Behavioral data, including standardized mathematical ability tests and psychological assessments, were collected longitudinally across Grades 2 to 5. To promote open access, the Brain Imaging Data Structure (BIDS) formatted data and corresponding quality control reports are available on the Science Data Bank. It offers a unique opportunity to deepen our understanding of how long-term training shapes neural and behavioral development in childhood.

Indexed as

BrainCognitionNeuroimagingChildCognitive TrainingFemaleHumansMagnetic Resonance ImagingMale

Identifiers

PMID41455747
PMCPMC12886873

What OpenQuestion holds

Textmetadata
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.