一个个性化的皮质地图集,用于感兴趣的功能区域
M Fiona Molloy1,2, David E Osher1
1Department of Psychology, The Ohio State University, Columbus, Ohio, United States.
Journal of neurophysiology
|September 20, 2023
概括
研究人员开发了一种使用休息状态功能性MRI (fMRI) 识别个人对认知任务感兴趣的功能区域 (fROI) 的方法. 这种方法绕过了基于任务的fMRI定位器的需求,提供了更快的替代方案.
科学领域:
- 神经科学是一个神经科学.
- 认知神经科学 认知神经科学
- 神经成像是一种神经成像.
背景情况:
- 功能性MRI (fMRI) 能够在体内绘制个体大脑功能的地图.
- 基于任务的fMRI定位认知处理区域 (fROI).
- 静态fMRI (rs-fMRI) 定义了连接体和功能组织.
研究的目的:
- 开发和验证一种方法,只使用静止状态数据计算个性化 rs-fROI.
- 为了确定基于连接的分片是否可以预测一个人的fROI.
- 识别用于运动控制,工作记忆,高水平视觉和语言理解的fROI.
主要方法:
- 在训练组 (n=500) 中,在各种分辨率下定义了静止状态分片.
- 通过将rs网络与任务定义的fROI相匹配,确定了21个个性化的rs-fROI.
- 在一个独立的集合 (n=518) 中验证了rs-fROI选择性,来自人类结合体项目.
主要成果:
- 计算机个性化 rs-fROI 对相应的认知类别具有选择性.
- 对于大多数fROI,rs-fROI的选择性比概率地图集的选择性更高.
- 该方法成功地确定了运动控制,工作记忆,视觉和语言的fROI.
结论:
- 一种新的方法计算了选择性,个性化的fROI,仅使用静止状态fMRI数据.
- 这种方法避免了需要多个昂贵的基于任务的fMRI定位器.
- 提供了一个快速而强大的替代方案,用于识别个体特定的功能性大脑区域.
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