A resource for probing influences of perinatal factors on neurodevelopment in 3-10-years-old Chinese children
Wang, Y.-S.; Su, X.-T.; Ke, L.; He, Q.-H.; Chang, D.; Nie, J.; Luo, X.; Chen, F.; Xu, J.; Zhang, C.; Zhang, S.; Zhang, S.; An, H.; Guo, R.; Yue, S.; Duan, W.; Jia, S.; Yang, S.; Yu, Y.; Zhao, Y.; Zhou, Y.; Chen, L.-Z.; Fan, X.-R.; Gao, P.; Lv, C.; Wu, Z.; Zhao, Y.; Quan, X.; Zhao, F.; Mu, Y.; Yan, Y.; Xu, W.; Liu, J.; Xing, L.; Chen, X.; Wu, X.; Zhao, L.; Huang, Z.; Ren, Y.; Hao, H.; Li, H.; Wang, J.; Dong, Q.; Chen, Y.; Huang, R.; Liu, S.; Wang, Y.; Dong, Q.; Zuo, X.-N.
Show abstract
Adverse perinatal factors can disrupt the normal development of the brain, with potential long-term impacts on childrens overall development. Currently, the neuropathological mechanisms by which these factors lead to various neurodevelopmental disorders (NDDs) remain largely unknown. An open resource that integrate perinatal factors with brain and mental health development is essential for investigating NDD-related aetiology. In this Data Descriptor, we introduce a multicentre database containing information on perinatal factors that influence childrens brain-mind development, namely, periCBD, that combines neuroimaging and behavioural phenotypes with perinatal factors associated with a high incidence of NDDs at county/region/central district hospitals. PeriCBD was designed to establish a platform for the investigation of individual differences in brain-mind development among children aged 3-10 years are associated with perinatal factors. Ultimately, our goal was to develop an early prediction and screening model for NDDs that leverages normative data to facilitate NDD aetiology research. Herein, we provide a systematic overview of the data acquisition/cleaning/quality control/sharing, processes of periCBD and present preliminary brain-mind associations.
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