AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Powered by AMiner. Clicking this button will take you away from SciOpen.
Home Structural and Congenital Heart Disease Article
PDF (2.8 MB)
Cite
EndNote(RIS) BibTeX
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Article | Open Access

A Comprehensive Brain MRI and Neurodevelopmental Dataset in Children with Tetralogy of Fallot

Yang Xu#,1, Yaqi Zhang#,2, Meijiao Zhu3, Pengcheng Xue4, Siyu Ma1, Di Yu1, Liang Hu1, Yuxi Zhang1, Wei Peng1, Jirong Qi1, Xuyun Wen4, Ming Yang3, Xuming Mo1,2,5( )
Department of Cardiothoracic Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
Nanjing Children’s Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Nanjing, 210008, China
Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Jiangning District, Nanjing, 211106, China
State Key Laboratory of Reproductive Medicine and Offspring Health,Nanjing Medical University, Nanjing, 210008, China

#These authors contributed equally to this work as joint the first author

Show Author Information

Abstract

Background

The life-course management of children with tetralogy of Fallot (TOF) has focused on demonstrating brain structural alterations, developmental trajectories, and cognition-related changes that unfold over time.

Methods

We introduce an magnetic resonance imaging (MRI) dataset comprising TOF children who underwent brain MRI scanning and cross-sectional neurocognitive follow-up. The dataset includes brain three-dimensional T1-weighted imaging (3D-T1WI), three-dimensional T2-weighted imaging (3D-T2WI), and neurodevelopmental evaluations using the Wechsler Preschool and Primary Scale of Intelligence–Fourth Edition (WPPSI-IV).

Results

Thirty-one children with TOF (age range: 4–33 months; 18 males) were recruited and completed corrective surgery at the Children’s Hospital of Nanjing Medical University, Nanjing, China. Aiming to promote the neurodevelopmental outcomes in children with TOF, we have meticulously curated a comprehensive dataset designed to dissect the complex interplay among risk factors, neuroimaging findings, and adverse neurodevelopmental outcomes.

Conclusion

This article aims to introduce our open-source dataset on neurodevelopment in children with TOF, which covers the data types, data acquisition and processing methods, the procedure for accessing the data, and related publications.

Keywords

Tetralogy of Fallotneurodevelopmentdatasetcongenital heart disease

References

【1】
【1】
 
 
Crossref Google Scholar
Structural and Congenital Heart Disease
Volume 20 Issue 5,
November 2025
Pages 559-570
DOI: 10.32604/chd.2025.072242

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Cite this Report
Close
Close
Cite this article:
Xu Y, Zhang Y, Zhu M, et al. A Comprehensive Brain MRI and Neurodevelopmental Dataset in Children with Tetralogy of Fallot. Structural and Congenital Heart Disease, 2025, 20(5): 559-570. https://doi.org/10.32604/chd.2025.072242

267

Views

11

Downloads

1

Crossref

1

Web of Science

1

Scopus
Received: 22 August 2025
Accepted: 31 October 2025
Published: 30 November 2025
© The Author 2025.

This work is licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.