Li Qiaojun, Song Ming, Fan Lingzhong, Liu Yong, Jiang Tianzi
Brainnetome Center, Institute of Automation, Chinese Academy of Sciences Beijing, China ; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China.
Brainnetome Center, Institute of Automation, Chinese Academy of Sciences Beijing, China ; National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences Beijing, China ; CAS Center for Excellence in Brain Science, Institute of Automation, Chinese Academy of Sciences Beijing, China ; The Queensland Brain Institute, University of Queensland, Brisbane QLD, Australia.
Front Neuroanat. 2015 Apr 27;9:50. doi: 10.3389/fnana.2015.00050. eCollection 2015.
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.
基于扩散磁共振成像的基于连接性的脑区划分已被广泛用于划分皮层下区域和联合皮层。连接性概况对于基于连接性的脑区划分至关重要。通常使用两类连接性概况,包括全局连接性概况,其中连接性信息是从种子区域到全脑;以及长程连接性概况,其中连接性信息是从种子区域到排除种子区域后的其他脑区。然而,在利用基于连接性的脑区划分来划分初级皮层时,应应用全局还是长程连接性概况尚不清楚。许多证据表明,初级大脑皮层由结构和功能上不同的子区域组成。由于初级大脑皮层富含局部解剖层次连接且具有高度的局部功能连接性概况,我们提出局部连接性概况,即感兴趣种子区域内的连接性信息,可能用于划分初级大脑皮层。在本研究中,分别使用全局、长程和局部连接性概况来划分双侧M1、A1、S1和V1。我们发现使用这三种概况得到的结果都与已报道的细胞构筑学证据相当一致。更重要的是,使用局部连接性概况得到的结果比使用其他两种概况得到的结果在个体间的变异性更小,这一发现表明在划分初级大脑皮层时,局部连接性概况优于全局和长程连接性概况。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性概况来划分不同区域。