通过他们的眼睛:多个主体的大脑解码,使用简单的对齐技术
Matteo Ferrante1, Tommaso Boccato1, Furkan Ozcelik2,3,4
1Department of Biomedicine and Prevention, University of Rome Tor Vergata, Rome, Italy.
Imaging neuroscience (Cambridge, Mass.)
|August 13, 2025
概括
现在可以使用不同个体的功能磁共振成像 (fMRI) 数据进行跨主体大脑解码. 这种技术利用数据对齐,实现了高精度,可以将扫描时间缩短90%.
科学领域:
- 神经科学是一个神经科学.
- 认知科学 认知科学
- 机器学习 机器学习
背景情况:
- 目前的大脑解码研究主要依赖于单个对象的功能磁共振成像 (fMRI) 研究.
- 从个人的fMRI数据中重建呈现的刺激是标准方法.
- 一个重要的局限性是缺乏跨不同学科的概括性.
研究的目的:
- 介绍和评估一种用于跨主体大脑解码的新型概括技术.
- 探索和比较各种数据对齐方法,以增强跨学科分析.
- 用另一个受试者的fMRI数据来证明解码一个受试者的大脑活动的可行性.
主要方法:
- 利用了自然场景数据集,一个7T fMRI实验,包括多个受试者观看的9,841个自然图像.
- 开发了一个对一个受试者的数据进行训练的解码模型,并将其应用于其他受试者的数据.
- 功能磁共振成像 (fMRI) 数据对齐技术的比较:脊柱回归,超对齐和解剖对齐.
主要成果:
- 跨主体大脑解码是可以实现的,即使只有一个小部分 (10%) 的常见数据 (982张图像).
- 使用共同数据的解码性能与单个主体解码相当.
- 斜坡回归被证明在细粒度信息解码中的功能对齐方面优越.
结论:
- 跨主体大脑解码是一种可行的方法,大大减少了广泛的个人扫描时间的需要.
- 提出的方法,特别是与回归对齐,使高质量的大脑解码.
- 扫描时间可能减少90%,从而促进更有效的研究和神经科学中的更广泛的应用.
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