标题： 使用热核平滑方法映射自闭症中的脑-行为相关性 显示英文标题

标题： Mapping Brain-Behavior Correlations in Autism Using Heat Kernel Smoothing

摘要： 本文提出了一种简化的图像分析框架，用于将行为测量与皮层解剖测量相关联，并检测异常脑-行为关联的区域。 我们将面部情绪辨别任务得分及其反应时间与一组高功能自闭症受试者的皮层厚度测量值进行了相关性分析。 许多先前的脑成像相关性研究未能考虑不需要的年龄效应和其他变量，随后的统计参数图可能会报告虚假结果。 我们证明，这里提出的偏相关映射策略可以有效消除年龄和整体皮层面积差异的影响，同时定位高相关性差异的区域。 所提出的相关性映射策略相对于通用线性模型框架的优势在于，我们可以在每个组中直接可视化更直观的相关性度量。 显示英文摘要

摘要： This paper presents a streamlined image analysis framework for correlating behavioral measures to anatomical measures on the cortex and detecting the regions of abnormal brain-behavior correlates. We correlated a facial emotion discrimination task score and its response time to cortical thickness measurements in a group of high functioning autistic subjects. Many previous correlation studies in brain imaging neglect to account for unwanted age effect and other variables and the subsequent statistical parametric maps may report spurious results. We demonstrate that the partial correlation mapping strategy proposed here can remove the effect of age and global cortical area difference effectively while localizing the regions of high correlation difference. The advantage of the proposed correlation mapping strategy over the general linear model framework is that we can directly visualize more intuitive correlation measures across the cortex in each group.