Yueyue Lydia Qu, Jianzhong Chen, Angela Tam, Leon Qi Rong Ooi, Elvisha Dhamala, Carrisa V. Cocuzza, Shaoshi Zhang, Tianchu Zeng, Connor Lawhead, B. T. Thomas Yeo, Avram J. Holmes
{"title":"不同的大脑网络特征可预测儿童、青少年和成年人的内化和外化特征","authors":"Yueyue Lydia Qu, Jianzhong Chen, Angela Tam, Leon Qi Rong Ooi, Elvisha Dhamala, Carrisa V. Cocuzza, Shaoshi Zhang, Tianchu Zeng, Connor Lawhead, B. T. Thomas Yeo, Avram J. Holmes","doi":"10.1038/s44220-025-00388-5","DOIUrl":null,"url":null,"abstract":"The distinction between externalizing and internalizing traits has been a classic area of study in psychiatry. However, whether shared or unique brain network features predict internalizing and externalizing behaviors remains poorly understood. Using a sample of 5,260 children from the Adolescent Brain Cognitive Development study, 229 adolescents from the Healthy Brain Network and 423 adults from the Human Connectome Project, we show that predictive network features are, at least in part, distinct across internalizing and externalizing behaviors. Across all three samples, behaviors within internalizing and externalizing categories exhibited more similar predictive feature weights than behaviors between categories. These data suggest shared and unique brain network features account for individual variation within broad internalizing and externalizing categories across developmental stages. In this study, the authors present work showing shared and distinct predictive network features associated with internalizing and externalizing behaviors in children, adolescents and adults.","PeriodicalId":74247,"journal":{"name":"Nature mental health","volume":"3 3","pages":"306-317"},"PeriodicalIF":0.0000,"publicationDate":"2025-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Distinct brain network features predict internalizing and externalizing traits in children, adolescents and adults\",\"authors\":\"Yueyue Lydia Qu, Jianzhong Chen, Angela Tam, Leon Qi Rong Ooi, Elvisha Dhamala, Carrisa V. Cocuzza, Shaoshi Zhang, Tianchu Zeng, Connor Lawhead, B. T. Thomas Yeo, Avram J. Holmes\",\"doi\":\"10.1038/s44220-025-00388-5\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The distinction between externalizing and internalizing traits has been a classic area of study in psychiatry. However, whether shared or unique brain network features predict internalizing and externalizing behaviors remains poorly understood. Using a sample of 5,260 children from the Adolescent Brain Cognitive Development study, 229 adolescents from the Healthy Brain Network and 423 adults from the Human Connectome Project, we show that predictive network features are, at least in part, distinct across internalizing and externalizing behaviors. Across all three samples, behaviors within internalizing and externalizing categories exhibited more similar predictive feature weights than behaviors between categories. These data suggest shared and unique brain network features account for individual variation within broad internalizing and externalizing categories across developmental stages. In this study, the authors present work showing shared and distinct predictive network features associated with internalizing and externalizing behaviors in children, adolescents and adults.\",\"PeriodicalId\":74247,\"journal\":{\"name\":\"Nature mental health\",\"volume\":\"3 3\",\"pages\":\"306-317\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature mental health\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44220-025-00388-5\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature mental health","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44220-025-00388-5","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Distinct brain network features predict internalizing and externalizing traits in children, adolescents and adults
The distinction between externalizing and internalizing traits has been a classic area of study in psychiatry. However, whether shared or unique brain network features predict internalizing and externalizing behaviors remains poorly understood. Using a sample of 5,260 children from the Adolescent Brain Cognitive Development study, 229 adolescents from the Healthy Brain Network and 423 adults from the Human Connectome Project, we show that predictive network features are, at least in part, distinct across internalizing and externalizing behaviors. Across all three samples, behaviors within internalizing and externalizing categories exhibited more similar predictive feature weights than behaviors between categories. These data suggest shared and unique brain network features account for individual variation within broad internalizing and externalizing categories across developmental stages. In this study, the authors present work showing shared and distinct predictive network features associated with internalizing and externalizing behaviors in children, adolescents and adults.