Luo Xu , Yao Yin , Xueke Wang , Ting Xu , Xi Zhang , Tingyong Feng
{"title":"早期创伤,延迟后果:大脑行为模型揭示了将童年创伤与拖延症联系起来的神经通路。","authors":"Luo Xu , Yao Yin , Xueke Wang , Ting Xu , Xi Zhang , Tingyong Feng","doi":"10.1016/j.neuroimage.2025.121529","DOIUrl":null,"url":null,"abstract":"<div><div>Childhood trauma has enduring effects on emotional and cognitive functioning, yet its impact on procrastination, particularly from a neurodevelopmental perspective, remains poorly understood. To achieve this, we employed resting-state functional MRI in conjunction with standardized behavioral assessments of childhood trauma, trait anxiety, self-control, and procrastination across two datasets (discovery dataset: <em>n</em> = 760; validation dataset: <em>n</em> = 429). By leveraging the advanced predictive analytics—including connectome-based predictive modeling (CPM) and least absolute shrinkage and selection operator (LASSO) regression—we aimed to elucidate the neural basis linking childhood trauma to procrastination. Our behavioral results revealed that childhood trauma was a significant predictor of elevated procrastination tendencies, with this association mediated by increased trait anxiety and reduced self-control. At the neural level, the predictive modeling using CPM and LASSO regression demonstrated that functional connectivity within and between the frontoparietal network (FPN), salience network (SAN), visual network (VN), and cerebellum significantly predicted childhood trauma. These patterns likely reflect trauma-related disruptions in higher-order cognitive control (e.g., self-control) and increased affective reactivity (e.g., trait anxiety). More importantly, the mediation analyses further confirmed that trait anxiety and self-control jointly mediate the relationship between trauma-related neural network connectivity and procrastination. These findings presented novel evidence that childhood trauma is associated with procrastination via functional alterations in large-scale neural networks implicated in self-control and emotion regulation, providing critical insights into the long-term behavioral consequences of early-life adversity, and informing the development of targeted interventions to reduce procrastination in trauma-exposed individuals.</div></div>","PeriodicalId":19299,"journal":{"name":"NeuroImage","volume":"321 ","pages":"Article 121529"},"PeriodicalIF":4.5000,"publicationDate":"2025-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Early wounds, delayed consequences: Brain-behavior modeling reveals neural pathways linking childhood trauma to procrastination\",\"authors\":\"Luo Xu , Yao Yin , Xueke Wang , Ting Xu , Xi Zhang , Tingyong Feng\",\"doi\":\"10.1016/j.neuroimage.2025.121529\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Childhood trauma has enduring effects on emotional and cognitive functioning, yet its impact on procrastination, particularly from a neurodevelopmental perspective, remains poorly understood. To achieve this, we employed resting-state functional MRI in conjunction with standardized behavioral assessments of childhood trauma, trait anxiety, self-control, and procrastination across two datasets (discovery dataset: <em>n</em> = 760; validation dataset: <em>n</em> = 429). By leveraging the advanced predictive analytics—including connectome-based predictive modeling (CPM) and least absolute shrinkage and selection operator (LASSO) regression—we aimed to elucidate the neural basis linking childhood trauma to procrastination. Our behavioral results revealed that childhood trauma was a significant predictor of elevated procrastination tendencies, with this association mediated by increased trait anxiety and reduced self-control. At the neural level, the predictive modeling using CPM and LASSO regression demonstrated that functional connectivity within and between the frontoparietal network (FPN), salience network (SAN), visual network (VN), and cerebellum significantly predicted childhood trauma. These patterns likely reflect trauma-related disruptions in higher-order cognitive control (e.g., self-control) and increased affective reactivity (e.g., trait anxiety). More importantly, the mediation analyses further confirmed that trait anxiety and self-control jointly mediate the relationship between trauma-related neural network connectivity and procrastination. These findings presented novel evidence that childhood trauma is associated with procrastination via functional alterations in large-scale neural networks implicated in self-control and emotion regulation, providing critical insights into the long-term behavioral consequences of early-life adversity, and informing the development of targeted interventions to reduce procrastination in trauma-exposed individuals.</div></div>\",\"PeriodicalId\":19299,\"journal\":{\"name\":\"NeuroImage\",\"volume\":\"321 \",\"pages\":\"Article 121529\"},\"PeriodicalIF\":4.5000,\"publicationDate\":\"2025-10-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"NeuroImage\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1053811925005324\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"NEUROIMAGING\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"NeuroImage","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1053811925005324","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"NEUROIMAGING","Score":null,"Total":0}
Early wounds, delayed consequences: Brain-behavior modeling reveals neural pathways linking childhood trauma to procrastination
Childhood trauma has enduring effects on emotional and cognitive functioning, yet its impact on procrastination, particularly from a neurodevelopmental perspective, remains poorly understood. To achieve this, we employed resting-state functional MRI in conjunction with standardized behavioral assessments of childhood trauma, trait anxiety, self-control, and procrastination across two datasets (discovery dataset: n = 760; validation dataset: n = 429). By leveraging the advanced predictive analytics—including connectome-based predictive modeling (CPM) and least absolute shrinkage and selection operator (LASSO) regression—we aimed to elucidate the neural basis linking childhood trauma to procrastination. Our behavioral results revealed that childhood trauma was a significant predictor of elevated procrastination tendencies, with this association mediated by increased trait anxiety and reduced self-control. At the neural level, the predictive modeling using CPM and LASSO regression demonstrated that functional connectivity within and between the frontoparietal network (FPN), salience network (SAN), visual network (VN), and cerebellum significantly predicted childhood trauma. These patterns likely reflect trauma-related disruptions in higher-order cognitive control (e.g., self-control) and increased affective reactivity (e.g., trait anxiety). More importantly, the mediation analyses further confirmed that trait anxiety and self-control jointly mediate the relationship between trauma-related neural network connectivity and procrastination. These findings presented novel evidence that childhood trauma is associated with procrastination via functional alterations in large-scale neural networks implicated in self-control and emotion regulation, providing critical insights into the long-term behavioral consequences of early-life adversity, and informing the development of targeted interventions to reduce procrastination in trauma-exposed individuals.
期刊介绍:
NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.