多重学习揭示了青少年大脑和环境之间的非线性相互作用,这些相互作用可以预测情绪和行为问题
Erica L Busch1, May I Conley1, Arielle Baskin-Sommers1
1Yale University, Department of Psychology, New Haven, CT, USA.
bioRxiv : the preprint server for biology
|March 18, 2024
概括
新的方法揭示了青少年大脑发育如何与环境因素相互作用,从而影响情绪和行为问题. 这项研究通过将大脑功能与现实世界的经验联系起来,从而提高对青少年心理健康的理解.
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
- 计算生物学 计算生物学
背景情况:
- 青少年心理健康研究需要了解大脑发育和环境影响之间的复杂相互作用.
- 当前的研究往往缺乏有效地将神经生物学数据与现实世界环境经验联系起来的方法.
研究的目的:
- 研究青少年大脑功能,环境因素和情绪/行为问题之间的关联.
- 开发和应用新的计算方法来建模大脑与环境的相互作用.
主要方法:
- 利用了青少年大脑和认知发展研究 (N=2,401名女性) 的数据.
- 应用多重学习,特别是开发外源PHATE (E-PHATE),以分析高维功能磁共振成像 (fMRI) 数据.
- 脑激活和环境数据的E-PHATE嵌入被用于横截面和纵向预测情绪和行为问题.
主要成果:
- 嵌入E-PHATE显示了基线大脑环境相互作用和情绪/行为问题之间的中等至大关联.
- 这些关联在各种大脑区域和网络中观察到,优于传统的基于voxel或标准PHATE方法.
- 纵向预测表明,基线大脑环境嵌入预测了两年后的情绪和行为问题,特别是在前端和注意力网络中.
结论:
- 青少年大脑在其环境中的"嵌入"为情绪和行为问题提供了重要的见解.
- 将E-PHATE等先进的计算技术与发育理论相结合,可以提高青少年心理健康问题的预测和检测.
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