Thirion Bertrand, Varoquaux Gaël, Poline Jean-Baptiste
Parietal team, INRIA Saclay-Ile-de-France, Saclay, France.
Med Image Comput Comput Assist Interv. 2010;13(Pt 2):241-8. doi: 10.1007/978-3-642-15745-5_30.
In many application of functional Magnetic Resonance Imaging (fMRI), including clinical or pharmacological studies, the definition of the location of the functional activity between subjects is crucial. While current acquisition and normalization procedures improve the accuracy of the functional signal localization, it is also important to ensure that functional foci detection yields accurate results, and reflects between-subject variability. Here we introduce a fast functional landmark detection procedure, that explicitly models the spatial variability of activation foci in the observed population. We compare this detection approach to standard statistical maps peak extraction procedures: we show that it yields more accurate results on simulations, and more reproducible results on a large cohort of subjects. These results demonstrate that explicit functional landmark modeling approaches are more effective than standard statistical mapping for brain functional focus detection.
在功能磁共振成像（fMRI）的许多应用中，包括临床或药理学研究，确定不同受试者之间功能活动的位置至关重要。虽然当前的采集和归一化程序提高了功能信号定位的准确性，但确保功能灶检测产生准确结果并反映受试者之间的变异性也很重要。在此，我们介绍一种快速功能地标检测程序，该程序明确模拟了观察人群中激活灶的空间变异性。我们将这种检测方法与标准统计图峰值提取程序进行了比较：我们表明，在模拟中它能产生更准确的结果，并且在一大群受试者中能产生更可重复的结果。这些结果表明，明确的功能地标建模方法在脑功能灶检测方面比标准统计映射更有效。
