Predicting individual face -selective topography using naturalistic stimuli
Predicting individual face -selective topography using naturalistic stimuli
复制标题
DOI：
10.1016/j.neuroimage.2019.116458
复制
发表时间：
2020-08-01
期刊：
影响因子：
5.7
通讯作者：
Gobbini, M. Ida
中科院分区：
文献类型：
--
作者：
Guo Jiahui;Ma Feilong;Gobbini, M. Ida
主题特定的，功能上定义的区域通常估计与功能定位器和一个简单的对比分析之间的反应，不同的刺激类别。与功能定位器相比，自然主义刺激提供了几个优点，例如更强和广泛的大脑激活，更大的参与度和增加的受试者依从性。在这项研究中，我们证明了一个主题的特异质功能地形图可以估计高保真度从该主题的功能磁共振成像数据，同时观看一部自然主义的电影，使用hyperalignment项目到该主题的特异质皮质解剖其他科目的定位数据。这些研究结果奠定了基础，开发一个有效的工具，映射功能地形图的广泛的感知和认知功能的新科目的基础上，只有功能磁共振成像数据收集，同时观看一个迷人的，自然的刺激和其他科目的定位数据从规范的样本。
Subject-specific, functionally defined areas are conventionally estimated with functional localizers and a simple contrast analysis between responses to different stimulus categories. Compared with functional localizers, naturalistic stimuli provide several advantages such as stronger and widespread brain activation, greater engagement, and increased subject compliance. In this study we demonstrate that a subject’s idiosyncratic functional topography can be estimated with high fidelity from that subject’s fMRI data obtained while watching a naturalistic movie using hyperalignment to project other subjects’ localizer data into that subject’s idiosyncratic cortical anatomy. These findings lay the foundation for developing an efficient tool for mapping functional topographies for a wide range of perceptual and cognitive functions in new subjects based only on fMRI data collected while watching an engaging, naturalistic stimulus and other subjects’ localizer data from a normative sample.