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Updated: Jan 8, 2026

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无监督地绘制大脑病变和行为之间的因果关系

Iman A Wahle1,2,3, Joseph Griffis4, Ralph Adolphs1,2

  • 1Division of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA 91125, USA.

bioRxiv : the preprint server for biology
|December 15, 2025
PubMed
概括

这项研究介绍了因果特征学习 (CFL),这是一种分析大脑损伤对行为影响的新方法. CFL确定了最佳的分析水平,揭示了新的病变行为地图,并改进了传统方法.

关键词:
有关因果关系的模型.抑郁 抑郁症 抑郁症 抑郁症 是一种这就是维度的维度性.语言语言语言语言语言语言.病变映射绘制病变的地图.病变 病变 病变 病变 病变神经心理学神经心理学视觉空间 视觉空间

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Brain Imaging

Brain imaging technologies provide critical insights into both the structure and function of the human brain, enabling medical professionals and researchers to diagnose, study, and treat neurological disorders or psychiatric disorders more effectively.
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans),  magnetic resonance imaging (MRI),  functional magnetic resonance imaging (fMRI), and Transcranial Magnetic...
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