Department of Medical Imaging Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Center for Educational Science and Technology, Beijing Normal University, Zhuhai, China.
Lupus. 2023 Apr;32(4):538-548. doi: 10.1177/09612033231160725. Epub 2023 Mar 14.
Previous fMRI studies revealed that the abnormal functional connectivity (FC) was related to cognitive impairment in patients with SLE. However, it remains unclear how the disease severity affects the functional topological organization of the whole-brain network in SLE patients without neuropsychiatric symptoms (non-NPSLE).
We aim to examine the impairment of the whole-brain functional network in SLE patients without neuropsychiatric symptoms (non-NPSLE), which may improve the understanding of neural mechanism in SLE.
We acquired resting-state fMRI data from 32 non-NPSLE patients and 32 healthy controls (HC), constructed their whole-brain functional network, and then estimated the topological properties including global and nodal parameters by using graph theory. Meanwhile, we also investigated the differences in intra- and inter-network FC between the non-NPSLE patients and the HC.
The non-NPSLE patients showed significantly lower clustering coefficient, global and local efficiency, but higher characteristic path length than the HC. The non-NPSLE patients had significantly lower nodal strength in two regions, ventromedial prefrontal cortex (vmPFC) and anterior PFC (aPFC) than the HC. We found the non-NPSLE patients had significantly lower intra-network FC within frontal-parietal network (FPN) and within default mode network (DMN), and significantly lower inter-network FC between DMN and FPN than the HC. The intra-network FC within DMN was negatively correlated with systemic lupus erythematosus disease activity index (SLEDAI).
Abnormal whole-brain functional network properties and abnormal intra- and inter-network FC may be related to cognitive impairment and disease degree in the non-NPSLE patients. Our findings provide a network perspective to understand the neural mechanisms of SLE.
先前的 fMRI 研究表明,异常的功能连接(FC)与 SLE 患者的认知障碍有关。然而,在没有神经精神症状(非 NPSLE)的 SLE 患者中,疾病严重程度如何影响整个大脑网络的功能拓扑组织尚不清楚。
我们旨在研究无神经精神症状(非 NPSLE)的 SLE 患者整个大脑功能网络的损伤,这可能有助于理解 SLE 的神经机制。
我们从 32 名非 NPSLE 患者和 32 名健康对照者(HC)中获取静息态 fMRI 数据,构建他们的整个大脑功能网络,然后使用图论估计拓扑性质,包括全局和节点参数。同时,我们还研究了非 NPSLE 患者与 HC 之间的内、网络间 FC 的差异。
非 NPSLE 患者的聚类系数、全局和局部效率明显降低,特征路径长度明显升高。与 HC 相比,非 NPSLE 患者的两个区域(腹内侧前额叶皮质(vmPFC)和前前额叶皮质(aPFC))的节点强度明显降低。我们发现,非 NPSLE 患者的额顶网络(FPN)和默认模式网络(DMN)内的网络间 FC 明显降低,DMN 与 FPN 之间的网络间 FC 明显降低。DMN 内的网络间 FC 与系统性红斑狼疮疾病活动指数(SLEDAI)呈负相关。
异常的全脑功能网络性质和异常的内、网络间 FC 可能与非 NPSLE 患者的认知障碍和疾病程度有关。我们的研究结果从网络的角度提供了理解 SLE 神经机制的思路。