@article{Xu2025, 
author = {Yang Xu and Yaqi Zhang and Meijiao Zhu and Pengcheng Xue and Siyu Ma and Di Yu and Liang Hu and Yuxi Zhang and Wei Peng and Jirong Qi and Xuyun Wen and Ming Yang and Xuming Mo},
title = {A Comprehensive Brain MRI and Neurodevelopmental Dataset in Children with Tetralogy of Fallot},
year = {2025},
journal = {Structural and Congenital Heart Disease},
volume = {20},
number = {5},
pages = {559-570},
keywords = {Tetralogy of Fallot, neurodevelopment, dataset, congenital heart disease},
url = {https://www.sciopen.com/article/10.32604/chd.2025.072242},
doi = {10.32604/chd.2025.072242},
abstract = {BackgroundThe 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.MethodsWe 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).ResultsThirty-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.ConclusionThis 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.}
}