@Article{chd.2025.072242,
AUTHOR = {Yang Xu, Yaqi Zhang, Meijiao Zhu, Pengcheng Xue, Siyu Ma, Di Yu, Liang Hu, Yuxi Zhang, Wei Peng, Jirong Qi, Xuyun Wen, Ming Yang, Xuming Mo},
TITLE = {A Comprehensive Brain MRI and Neurodevelopmental Dataset in Children with Tetralogy of Fallot},
JOURNAL = {Structural and Congenital Heart Disease},
VOLUME = {20},
YEAR = {2025},
NUMBER = {5},
PAGES = {559--570},
URL = {http://www.techscience.com/schd/v20n5/64668},
ISSN = {3071-1738},
ABSTRACT = {<b>Background:</b> 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. <b>Methods:</b> 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). <b>Results:</b> 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. <b>Conclusion:</b> 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.},
DOI = {10.32604/chd.2025.072242}
}