Open Access

ARTICLE

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 Mo^1,2,5,*

1 Department of Cardiothoracic Surgery, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
2 Nanjing Children’s Hospital, Clinical Teaching Hospital of Medical School, Nanjing University, Nanjing, 210008, China
3 Department of Radiology, Children’s Hospital of Nanjing Medical University, Nanjing, 210008, China
4 College of Artificial Intelligence, Nanjing University of Aeronautics and Astronautics, Jiangning District, Nanjing, 211106, China
5 State Key Laboratory of Reproductive Medicine and Offspring Health，Nanjing Medical University, Nanjing, 210008, China

* Corresponding Author: Xuming Mo. Email:
# These authors contributed equally to this work as joint the first author

Congenital Heart Disease 2025, 20(5), 559-570. https://doi.org/10.32604/chd.2025.072242

Received 22 August 2025; Accepted 31 October 2025; Issue published 30 November 2025

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.

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Keywords

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