Institute of Biomedical Engineering, School of Life Sciences, Shanghai University, Shanghai 200444, China.
School of Communication and Information Engineering, Shanghai University, Shanghai 200444, China.
Neuroimage. 2024 Aug 15;297:120763. doi: 10.1016/j.neuroimage.2024.120763. Epub 2024 Jul 30.
Human brain gray matter (GM) has usually been clustered into multiple functional networks. The white matter (WM) fiber bundles are known to interconnect these networks simultaneously, engaging in numerous cognitive functions. However, the exact interconnections between GM and WM are still unclear, whether functional signals in WM rewires GM community organization remains to be explored. In this study, we divided brain functional connections into three types by using edge-centric method, including intra-GM, intra-WM and GM-WM connections, and calculated the edge community evaluation indexes for quantifying GM community engagement. The results showed that the involvement of WM significantly enhanced community entropy in the heteromodal system, while the sensory-attention system remained barely changed. In addition, delta community entropy showed a significant correlation with clinical cognitive scale. Our results suggested that WM rewired GM community organization, enhancing the community engagement of brain regions in the heteromodal system. This involvement was observed to be disrupted in disease groups. Our study revealed that considering the functional signals of GM and WM simultaneously could better understand the brain's functional organization.
人脑灰质（GM）通常被聚类为多个功能网络。已知白质（WM）纤维束同时连接这些网络，参与众多认知功能。然而，GM 和 WM 之间的确切连接仍不清楚，WM 中的功能信号是否重新连接 GM 社区组织仍有待探索。在这项研究中，我们使用基于边缘的方法将大脑功能连接分为三种类型，包括 GM 内、WM 内和 GM-WM 连接，并计算了边缘社区评估指标来量化 GM 社区参与度。结果表明，WM 的参与显著增强了异模态系统中社区的信息熵，而感觉-注意系统几乎没有变化。此外，德尔塔社区信息熵与临床认知量表显著相关。我们的结果表明，WM 重新连接了 GM 社区组织，增强了异模态系统中大脑区域的社区参与度。这种参与在疾病组中被观察到被破坏。我们的研究表明，同时考虑 GM 和 WM 的功能信号可以更好地理解大脑的功能组织。
