Ma Haotian, Zhu Yanyan, Liang Xiao, Wu Lin, Wang Yao, Li Xiaoxing, Qian Long, Cheung Gerald L, Zhou Fuqing
Department of Radiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, China.
Queen Mary College, Nanchang University, Nanchang, China.
Front Immunol. 2024 Feb 5;15:1345843. doi: 10.3389/fimmu.2024.1345843. eCollection 2024.
To assess the alteration of individual brain morphological and functional network topological properties and their clinical significance in patients with neuromyelitis optica spectrum disorder (NMOSD).
Eighteen patients with NMOSD and twenty-two healthy controls (HCs) were included. The clinical assessment of NMOSD patients involved evaluations of disability status, cognitive function, and fatigue impact. For each participant, brain images, including high-resolution T1-weighted images for individual morphological brain networks (MBNs) and resting-state functional MR images for functional brain networks (FBNs) were obtained. Topological properties were calculated and compared for both MBNs and FBNs. Then, partial correlation analysis was performed to investigate the relationships between the altered network properties and clinical variables. Finally, the altered network topological properties were used to classify NMOSD patients from HCs and to analyses time- to-progression of the patients.
The average Expanded Disability Status Scale score of NMOSD patients was 1.05 (range from 0 to 2), indicating mild disability. Compared to HCs, NMOSD patients exhibited a higher normalized characteristic path length (λ) in their MBNs (P = 0.0118, FDR corrected) but showed no significant differences in the global properties of FBNs (p: 0.405-0.488). Network-based statistical analysis revealed that MBNs had more significantly altered connections (P< 0.01, NBS corrected) than FBNs. Altered nodal properties of MBNs were correlated with disease duration or fatigue scores (P< 0.05/6 with Bonferroni correction). Using the altered nodal properties of MBNs, the accuracy of classification of NMOSD patients versus HCs was 96.4%, with a sensitivity of 93.3% and a specificity of 100%. This accuracy was better than that achieved using the altered nodal properties of FBNs. Nodal properties of MBN significantly predicted Expanded Disability Status Scale worsening in patients with NMOSD.
The results indicated that patients with mild disability NMOSD exhibited compensatory increases in local network properties to maintain overall stability. Furthermore, the alterations in the morphological network nodal properties of NMOSD patients not only had better relevance for clinical assessments compared with functional network nodal properties, but also exhibited predictive values of EDSS worsening.
评估视神经脊髓炎谱系障碍(NMOSD)患者个体脑形态学和功能网络拓扑属性的改变及其临床意义。
纳入18例NMOSD患者和22名健康对照(HCs)。对NMOSD患者的临床评估包括残疾状态、认知功能和疲劳影响的评估。为每位参与者获取脑图像,包括用于个体形态学脑网络(MBNs)的高分辨率T1加权图像和用于功能脑网络(FBNs)的静息态功能磁共振图像。计算并比较MBNs和FBNs的拓扑属性。然后,进行偏相关分析以研究改变的网络属性与临床变量之间的关系。最后,使用改变的网络拓扑属性对NMOSD患者与HCs进行分类,并分析患者的疾病进展时间。
NMOSD患者的平均扩展残疾状态量表评分为1.05(范围为0至2),表明残疾程度较轻。与HCs相比,NMOSD患者的MBNs中归一化特征路径长度(λ)更高(P = 0.0118,经FDR校正),但在FBNs的全局属性方面无显著差异(P:0.405 - 0.488)。基于网络的统计分析显示,MBNs比FBNs有更显著改变的连接(P < 0.01,经NBS校正)。MBNs改变的节点属性与疾病持续时间或疲劳评分相关(经Bonferroni校正,P < 0.05/6)。使用MBNs改变的节点属性,NMOSD患者与HCs分类的准确率为96.4%,敏感性为93.3%,特异性为100%。该准确率优于使用FBNs改变的节点属性所达到的准确率。MBNs的节点属性显著预测了NMOSD患者扩展残疾状态量表的恶化情况。
结果表明,轻度残疾的NMOSD患者在局部网络属性上表现出代偿性增加以维持整体稳定性。此外,与功能网络节点属性相比,NMOSD患者形态学网络节点属性的改变不仅与临床评估有更好的相关性,而且还表现出对扩展残疾状态量表恶化的预测价值。