一个开放的,完全处理的,纵向数据资源来研究大脑发育和跨诊断执行功能
Brooke L Sevchik1,2,3, Golia Shafiei1,2,3, Kristin Murtha1,2,3,4
1Penn Lifespan Informatics and Neuroimaging Center, University of Pennsylvania, PA, USA.
bioRxiv : the preprint server for biology
|November 26, 2025
概括
本研究介绍了青少年发育中的宾夕法尼亚州长度执行功能 (Penn LEAD) 数据集,这是了解青少年执行功能 (EF) 发展和精神病理学的宝贵资源.
科学领域:
- 神经科学是一个神经科学.
- 发展心理学 发展心理学
- 精神病学是一个精神病学.
背景情况:
- 执行功能 (EF) 在青春期经历了快速发展.
- EF 缺陷是与各种精神病理相关的跨诊断症状.
- 青春期是EF发展和精神健康状况出现的关键时期.
研究的目的:
- 介绍宾夕法尼亚州长度执行功能在青少年发展 (宾夕法尼亚州领导) 研究数据集.
- 促进青春期执行功能发展的跨诊断研究.
- 为研究EF和精神病理学提供一个全面的多模式数据资源.
主要方法:
- 从132名 (8-16岁) 个体进行了纵向数据收集.
- 包括典型的发展年轻人,注意力缺陷多动症 (ADHD) 和精神病谱群.
- 多模式数据采集:结构MRI,扩散MRI,fMRI (n-back任务,休息状态) 和动脉旋转标记MRI,以及认知和临床表型.
主要成果:
- 宾夕法尼亚州LEAD数据集包括225次成像会议.
- 数据包括多样化的参与者群体,使比较分析成为可能.
- 所有原始和处理的数据,包括质量控制建议,都在OpenNeuro上公开提供.
结论:
- 宾夕法尼亚大学LEAD数据集是一个重要的,分析准备的资源,用于推进青少年执行功能研究.
- 公开共享的数据将加速对EF发展及其与精神病理学的关系的跨诊断研究.
- 本资源支持对精神疾病中神经发育轨迹的更深入的理解.
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