Chen Hanbo, Zhao Yu, Zhang Tuo, Zhang Hongmiao, Kuang Hui, Li Meng, Tsien Joe Z, Liu Tianming
Med Image Comput Comput Assist Interv. 2014;17(Pt 3):273-80. doi: 10.1007/978-3-319-10443-0_35.
Mapping the neuronal wiring diagrams in the brain at multiple spatial scales has been one of the major brain mapping objectives. Macro-scale medical imaging modalities such as diffusion tensor imaging (DTI) and meso-scale biological imaging such as serial two-photon tomography have emerged as the prominent tools to reveal structural connectivity patterns at multiple scales. However, a significant gap that whether/how DTI data and microscopic data are correlated with each other for the s ame species of mammalian brains,e.g., mouse brains, has been rarely explored. To bridge this knowledge gap, this work aims to construct multi-modal mouse brain connectomes via joint modeling of macro-scale DTI data and meso-scale neuronal tracing data. Specifically, the high-resolution DTI data and its streamline tractography result are mapped to the Allen Mouse Brain Atlas, in which the high-density axonal projections were already mapped by microscopic serial two-photon tomography. Then, multi-modal connectomes were constructed and the multi-view spectral clustering method is employed to assess consistent and discrepant connectivity patterns across the multi-scale multi-modal connectomes. Experimental results demonstrated the importance of fusing multimodal, multi-scale imaging modalities for structural connectivity and connectome mapping.
在多个空间尺度上绘制大脑中的神经元连接图一直是大脑图谱绘制的主要目标之一。宏观尺度的医学成像模态，如扩散张量成像（DTI），以及中观尺度的生物成像，如连续双光子断层扫描，已成为揭示多个尺度上结构连接模式的重要工具。然而，对于同一物种的哺乳动物大脑，如小鼠大脑，DTI数据和微观数据是否/如何相互关联这一显著差距却很少被探讨。为了填补这一知识空白，这项工作旨在通过对宏观尺度的DTI数据和中观尺度的神经元追踪数据进行联合建模来构建多模态小鼠大脑连接组。具体而言，将高分辨率DTI数据及其流线追踪结果映射到艾伦小鼠脑图谱，其中高密度轴突投射已通过微观连续双光子断层扫描进行了映射。然后，构建多模态连接组，并采用多视图谱聚类方法来评估跨多尺度多模态连接组的一致和不一致的连接模式。实验结果证明了融合多模态、多尺度成像模态用于结构连接和连接组图谱绘制的重要性。
