Langs Georg, Golland Polina, Tie Yanmei, Rigolo Laura, Golby Alexandra J
Computer Science and Artificial Intelligence Lab, Massachusetts Institute of Technology Cambridge, MA 02139, USA.
Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School Boston, MA 02115, USA.
Adv Neural Inf Process Syst. 2010;1:1225-1233.
Matching functional brain regions across individuals is a challenging task, largely due to the variability in their location and extent. It is particularly difficult, but highly relevant, for patients with pathologies such as brain tumors, which can cause substantial reorganization of functional systems. In such cases spatial registration based on anatomical data is only of limited value if the goal is to establish correspondences of functional areas among different individuals, or to localize potentially displaced active regions. Rather than rely on spatial alignment, we propose to perform registration in an alternative space whose geometry is governed by the functional interaction patterns in the brain. We first embed each brain into a functional map that reflects connectivity patterns during a fMRI experiment. The resulting functional maps are then registered, and the obtained correspondences are propagated back to the two brains. In application to a language fMRI experiment, our preliminary results suggest that the proposed method yields improved functional correspondences across subjects. This advantage is pronounced for subjects with tumors that affect the language areas and thus cause spatial reorganization of the functional regions.
在个体间匹配功能性脑区是一项具有挑战性的任务,这主要是由于其位置和范围的变异性。对于患有脑肿瘤等疾病的患者来说,这一任务尤为困难但又高度相关,因为这些疾病会导致功能系统的实质性重组。在这种情况下,如果目标是在不同个体之间建立功能区域的对应关系,或者定位可能移位的活跃区域,那么基于解剖数据的空间配准的价值就很有限。我们建议不依赖空间对齐,而是在一个替代空间中进行配准,该空间的几何形状由大脑中的功能交互模式决定。我们首先将每个大脑嵌入到一个功能图谱中,该图谱反映功能磁共振成像(fMRI)实验期间的连接模式。然后对得到的功能图谱进行配准,并将获得的对应关系反馈到两个大脑中。在应用于语言功能磁共振成像实验时,我们的初步结果表明,所提出的方法能够在不同受试者之间产生更好的功能对应关系。对于那些肿瘤影响语言区域从而导致功能区域空间重组的受试者来说,这种优势尤为明显。