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Updated: May 21, 2025

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Real-Time fMRI Brain Mapping in Animals
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基于机器学习的层次解析的fMRI激活和功能连接在非人类灵长类动物的初级体感皮层内的基于机器学习的集群
Arabinda Mishra1,2, Feng Wang1,2, Li Min Chen1,2
1Institute of Imaging Science, Vanderbilt University Medical Center, Nashville, Tennessee, USA.
Human brain mapping
|March 17, 2025
概括
脑部成像显示在皮质层上有明显的功能柱形状. 表面层表现出延长的激活和连接,不同于更深层,在刺激和静止状态.
科学领域:
- 神经科学是一个神经科学.
- 功能磁共振成像 (fMRI) 是一种功能性磁共振成像技术.
- 皮层组织 皮层组织.
背景情况:
- 了解中等尺度皮层柱状结构是大脑功能的关键.
- 之前的研究表明,血液氧气水平依赖 (BOLD) 的fMRI和体感皮层的局部场潜在 (LFP) 反应之间存在空间对应.
- 皮层层表现出独特的功能性质,这些功能性质尚未完全理解.
研究的目的:
- 调查功能列的二维空间配置文件在皮质层 (表面,中间,深层) 中如何变化.
- 使用fMRI,在触觉刺激和静止状态期间比较这些形状.
- 为了确定空间配置文件是否可以可靠地区分皮质层.
主要方法:
- 从麻醉的松鼠的体感区域3b和1获得9.4T的亚毫米分辨率fMRI数据.
- 分析了来自三个不同的皮层的fMRI信号.
- 使用点传播函数 (PSF) 来表征触觉刺激引起的激活焦点和基于种子的静止状态fMRI (rsfMRI) 来进行连接配置文件;用于层分类的自组织地图 (SOM).
主要成果:
- 触觉唤起的fMRI反应和静止状态的功能连接显示了表面皮质层的显著延伸,侧向向中间.
- 这种延长在中间和底层皮质层显著减少.
- 自组织地图成功地根据空间配置参数对皮质层进行了分类,达到~13%的误差,区分了表面层和更深层.
结论:
- 在体感皮层中,表面层与更深层皮层之间存在着不同的二维空间配置.
- 在不同层次的刺激唤起和静止状态功能配置之间观察到相似之处.
- 这些发现提供了关于灵长类大脑皮层层次的功能组织的见解.
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