论文标题
脑皮质表面图像的几何形状和功能的关节建模
Joint Modeling for Geometry and Functionality of Cerebral Cortical Surface Images
论文作者
论文摘要
我们提出了一个框架，用于在高维功能表面上共同建模几何和功能。提出的混合效应模型表征了受试者特异性协变量和外源刺激对功能表面的影响，同时考虑了其几何和功能的潜在相互影响。这是通过一种计算有效估计方法来实现的，该方法结合了随机效应的精确矩阵的正则化估计。我们对人类连接组项目的脑皮质表面结构MRI和任务fMRI数据进行了彻底的分析，并发现皮质表面的几何形状与对任务刺激的响应的神经元激活之间的关系。我们的发现突出了皮质表面形状与情感处理相关的功能激活之间的对应方式的新模式。
We propose a framework for jointly modeling the geometry and functionality in high dimensional functional surfaces. The proposed mixed effects model characterizes effects of subject-specific covariates and exogenous stimuli on functional surfaces while accounting for potential mutual-influence of their geometry and functionality. This is achieved through a computationally efficient estimation method that incorporates regularized estimation of the precision matrix of the random effects. We perform a thorough analysis of cerebral cortical surface structural MRI and task fMRI data from the Human Connectome Project and discover relationships between the geometric shapes of cortical surface and neuronal activation responding to task stimuli. Our findings highlight new modes of correspondence between cortical surface shape and functional activation relevant to emotion processing.
