Institute for Brain Research and Rehabilitation, Guangdong Key Laboratory of Mental Health and Cognitive Science, Center for Studies of Psychological Application, South China Normal University, Guangzhou, China.
Key Laboratory of Brain, Cognition and Education Sciences (South China Normal University), Ministry of Education, Guangzhou, China.
CNS Neurosci Ther. 2021 Jun;27(6):652-663. doi: 10.1111/cns.13632. Epub 2021 Mar 13.
To explore large-scale brain network alterations and examine their clinical and neuropsychological relevance in patients with anti-N-methyl-D-aspartate receptor (NMDAR) encephalitis.
Twenty-four patients with anti-NMDAR encephalitis and 26 matched healthy controls (HCs) were enrolled in our study. Based on the multimodal MRI dataset, individual morphological, structural, and functional brain networks were constructed and compared between the two groups at multiple levels. The associations with clinical/neuropsychological variables and the discriminant ability of significant alterations were further studied.
Multimodal network analysis revealed that anti-NMDAR encephalitis mainly affected morphological and structural networks, but subtle alterations were observed in functional networks. Intriguingly, decreased network local efficiency was observed for both morphological and structural networks and increased nodal centrality in the lateral orbital gyrus was convergently observed among the three types of networks in the patients. Moreover, the alterations, particularly those from structural networks, accounted largely for cognitive deficits of the patients and could distinguish the diseased individuals from the HCs with excellent performance (area under the curve =0.933).
The current study provides a comprehensive view of characteristic multimodal network dysfunction in anti-NMDAR encephalitis, which is crucial to establish new diagnostic biomarkers and promising therapeutic targets for the disease.
探讨抗 N-甲基-D-天冬氨酸受体(NMDAR)脑炎患者的大脑网络大规模改变,并研究其与临床和神经心理学的相关性。
本研究纳入了 24 例抗 NMDAR 脑炎患者和 26 名匹配的健康对照者(HCs)。基于多模态 MRI 数据集,在多个层面上比较了两组个体的形态、结构和功能脑网络。进一步研究了这些改变与临床/神经心理学变量的关联及其对显著改变的判别能力。
多模态网络分析显示,抗 NMDAR 脑炎主要影响形态和结构网络,但在功能网络中也观察到了细微的改变。有趣的是,在三种网络类型中,患者的形态和结构网络均表现出网络局部效率降低,而外侧眶回的节点中心度增加。此外,这些改变,特别是来自结构网络的改变,在很大程度上解释了患者的认知缺陷,并能以优异的性能(曲线下面积=0.933)将患病个体与 HCs 区分开来。
本研究提供了抗 NMDAR 脑炎特征性多模态网络功能障碍的全面视图,这对于建立该疾病的新诊断生物标志物和有前途的治疗靶点至关重要。