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首页> 外文期刊>The European Journal of Neuroscience >Covariance-based subdivision of the human striatum using T1-weighted MRI.
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Covariance-based subdivision of the human striatum using T1-weighted MRI.

机译：使用T1加权MRI对人纹状体进行基于协方差的细分。

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摘要

The striatum plays a key role in many cognitive and emotional processes, and displays an intricate pattern of connectivity with cortical and subcortical structures. Invasive tracing work in rats and non-human primates demonstrates that the striatum can be segregated into subregions based on similar clustering of input and output fibers. In contrast, the human striatum is typically segregated according to local anatomical landmarks without considering natural boundaries formed by functional/anatomical networks. Here, we used non-invasive magnetic resonance (MR) imaging in young, healthy adults to define subregions of the human striatum based on volume correlations with other subcortical and cortical structures. We present three methods to delineate anatomical volumetric correlations based on gray matter content estimated from T1-weighted MR images. We observed both consistencies with and divergences from invasive tracing work in animals, suggesting that magnetic resonance imaging (MRI)-based covariance likely does not correspond to direct anatomical connections, although it might index other forms of connectivity or tissue type similarity. These novel approaches may be useful in understanding connectivity of other regions, and changes in connectivity in patient or ageing populations.
机译：纹状体在许多认知和情感过程中起着关键作用，并显示出与皮层和皮层下结构的复杂连接模式。在大鼠和非人类灵长类动物中进行的侵入式追踪工作表明，纹状体可以基于输入和输出纤维的相似聚类而被分为多个子区域。相反，通常不考虑由功能/解剖网络形成的自然边界而根据局部解剖界标将人类纹状体隔离。在这里，我们使用年轻，健康成年人的无创磁共振（MR）成像，根据与其他皮质下和皮质结构的体积相关性，定义了人类纹状体的子区域。我们提出了三种方法来描述根据T1加权MR图像估计的灰质含量来描述解剖体积相关性。我们观察到了与动物的侵入性追踪工作的一致性和相异性，表明基于磁共振成像（MRI）的协方差可能不对应于直接的解剖连接，尽管它可能索引其他形式的连接性或组织类型相似性。这些新颖的方法可能有助于理解其他地区的连通性，以及患者或老龄人口中连通性的变化。

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