Scholarlink

<p>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.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

Distinct brain network features predict internalizing and externalizing traits in children, adolescents and adults

  • 期刊论文

  • 发表日期：

    2025年2月19日

查看全文
  • 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

摘要

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.