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Parcellation of the primary cerebral cortices based on local connectivity profiles

机译:基于局部连通性分布的原发性大脑皮层的分裂

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摘要

Connectivity-based parcellation using diffusion MRI has been extensively used to parcellate subcortical areas and the association cortex. Connectivity profiles are vital for connectivity-based parcellation. Two categories of connectivity profiles are generally utilized, including global connectivity profiles, in which the connectivity information is from the seed to the whole brain, and long connectivity profiles, in which the connectivity information is from the seed to other brain regions after excluding the seed. However, whether global or long connectivity profiles should be applied in parcellating the primary cortex utilizing connectivity-based parcellation is unclear. Many sources of evidence have indicated that the primary cerebral cortices are composed of structurally and functionally distinct subregions. Because the primary cerebral cortices are rich in local anatomic hierarchical connections and possess high degree of local functional connectivity profiles, we proposed that local connectivity profiles, that is the connectivity information within a seed region of interest, might be used for parcellating the primary cerebral cortices. In this study, the global, long, and local connectivity profiles were separately used to parcellate the bilateral M1, A1, S1, and V1. We found that results using the three profiles were all quite consistent with reported cytoarchitectonic evidence. More importantly, the results using local connectivity profiles showed less inter-subject variability than the results using the other two, a finding which suggests that local connectivity profiles are superior to global and long connectivity profiles for parcellating the primary cerebral cortices. This also implies that, depending on the characteristics of specific areas of the cerebral cortex, different connectivity profiles may need to be adopted to parcellate different areas.
机译:使用扩散MRI的基于连通性的分割已被广泛用于分割皮质下区域和缔合皮层。连接配置文件对于基于连接的拆分至关重要。通常使用两类连接配置文件,包括全局连接配置文件(其中连接信息从种子到整个大脑)和长连接配置文件(其中连接信息从种子到其他大脑区域,不包括种子) 。但是,尚不清楚在使用基于连接的拆分中将全局皮质或长连接性配置文件应用到初级皮质中时尚不清楚。许多证据表明,原发性大脑皮层由结构和功能上不同的子区域组成。由于原发性大脑皮层富含局部解剖层次连接,并且具有高度的局部功能连接性,因此我们建议将局部连接性配置文件(即感兴趣的种子区域内的连接性信息)用于散开原发性大脑皮层。在这项研究中,分别使用全局,长和本地连接配置文件来分隔双边M1,A1,S1和V1。我们发现使用这三个配置文件的结果都与已报道的细胞建筑学证据完全一致。更重要的是,与使用其他两个连接的结果相比,使用本地连接的配置文件显示的对象间变异性更小,这一发现表明,对于连接初级大脑皮层,本地连接的配置文件优于全局和长连接的配置文件。这也意味着根据大脑皮层特定区域的特征,可能需要采用不同的连接配置文件来区分不同的区域。

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