Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue
Probabilistic anatomical connectivity derived from the microscopic persistent angular structure of cerebral tissue
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DOI：
10.1098/rstb.2005.1639
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发表时间：
2005-05-29
影响因子：
6.3
通讯作者：
Alexander, DC
中科院分区：
文献类型：
--
作者：
Parker, GJM;Alexander, DC
最近开发的方法，以提取持久的角度结构（PAS）的轴突纤维束的扩散加权磁共振成像（MRI）数据被应用到驱动概率纤维跟踪，旨在提供估计的解剖大脑连接。PAS功能的行为，在现实的数据噪声的存在下，建模为一系列的单纤维和多纤维配置。这允许生成概率密度函数（PDF），其根据单个纤维群的各向异性进行参数化。PDF被纳入概率纤维跟踪方法，以允许估计全脑地图的解剖连接概率。这些方法被应用在两个示例性的实验中，在皮质脊髓束，以表明它是可能的，以连接整个初级运动皮层（M1）时，从大脑脚跟踪，并从M1的反向实验跟踪成功地识别高概率连接通过锥体束。在概率纤维追踪中使用提取的PAS比之前报道的在皮质脊髓束中使用扩散加权MRI的纤维追踪具有更高的特异性和灵敏度。
Recently developed methods to extract the persistent angular structure (PAS) of axonal fibre bundles from diffusion-weighted magnetic resonance imaging (MRI) data are applied to drive probabilistic fibre tracking, designed to provide estimates of anatomical cerebral connectivity. The behaviour of the PAS function in the presence of realistic data noise is modelled for a range of single and multiple fibre configurations. This allows probability density functions (PDFs) to be generated that are parametrized according to the anisotropy of individual fibre populations. The PDFs are incorporated in a probabilistic fibre-tracking method to allow the estimation of whole-brain maps of anatomical connection probability. These methods are applied in two exemplar experiments in the corticospinal tract to show that it is possible to connect the entire primary motor cortex (M1) when tracing from the cerebral peduncles, and that the reverse experiment of tracking from M1 successfully identifies high probability connection via the pyramidal tracts. Using the extracted PAS in probabilistic fibre tracking allows higher specificity and sensitivity than previously reported fibre tracking using diffusion-weighted MRI in the corticospinal tract.