Wu Chia-Hung, Hsu Tun-Wei, Lai Kuan-Lin, Wang Yen-Feng, Fuh Jong-Ling, Wu Hsiu-Mei, Lirng Jiing-Feng, Wang Shuu-Jiun, Chen Shih-Pin
Department of Radiology, Taipei Veterans General Hospital, Taipei, Taiwan.
School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.
Ann Neurol. 2023 Oct;94(4):772-784. doi: 10.1002/ana.26724. Epub 2023 Jul 6.
The aim of this study was to investigate the functional networks in subjects with reversible cerebral vasoconstriction syndrome (RCVS) using resting-state functional magnetic resonance imaging (rs-fMRI).
We prospectively recruited patients with RCVS and healthy controls (HCs) between February 2017 and April 2021. The rs-fMRI data were analyzed using graph theory methods. We compared node-based global and regional topological metrics (Bundle 1) and network-based intranetwork and internetwork connectivity (Bundle 2) between RCVS patients and HCs. We also explored the associations of clinical and vascular (ie, the Lindegaard index, LI) parameters with significant rs-fMRI metrics.
A total of 104 RCVS patients and 93 HCs were included in the final analysis. We identified significantly decreased local efficiency of the left dorsal anterior insula (dAI; p = 0.0005) in RCVS patients within 30 days after disease onset as compared to HCs, which improved 1 month later. RCVS patients also had increased global efficiency (p = 0.009) and decreased average degree centrality (p = 0.045), clustering coefficient (p = 0.033), and assortativity values (p = 0.003) in node-based analysis. In addition, patients with RCVS had increased internetwork connectivity of the default mode network (DMN) with the salience (p = 0.027) and dorsal attention (p = 0.016) networks. Significant correlations between LI and regional local efficiency in left dAI (r = -0.418, p = 0.042) was demonstrated.
The significantly lower local efficiency of the left dAI, suggestive of impaired central autonomic modulation, was negatively correlated with vasoconstriction severity, which is highly plausible for the pathogenesis of RCVS. ANN NEUROL 2023;94:772-784.
本研究旨在使用静息态功能磁共振成像(rs-fMRI)研究可逆性脑血管收缩综合征(RCVS)患者的功能网络。
我们在2017年2月至2021年4月期间前瞻性招募了RCVS患者和健康对照(HCs)。使用图论方法分析rs-fMRI数据。我们比较了RCVS患者和HCs之间基于节点的全局和区域拓扑指标(束1)以及基于网络的网络内和网络间连通性(束2)。我们还探讨了临床和血管(即林德加德指数,LI)参数与显著的rs-fMRI指标之间的关联。
最终分析共纳入104例RCVS患者和93例HCs。我们发现,与HCs相比,RCVS患者在疾病发作后30天内左背侧前岛叶(dAI)的局部效率显著降低(p = 0.0005),1个月后有所改善。在基于节点的分析中,RCVS患者的全局效率也有所提高(p = 0.009),平均度中心性(p = 0.045)、聚类系数(p = 0.033)和 assortativity 值(p = 0.003)降低。此外,RCVS患者的默认模式网络(DMN)与突显网络(p = 0.027)和背侧注意网络(p = 0.016)的网络间连通性增加。LI与左dAI区域局部效率之间存在显著相关性(r = -0.418,p = 0.042)。
左dAI的局部效率显著降低,提示中枢自主调节受损,与血管收缩严重程度呈负相关,这对于RCVS的发病机制非常合理。《神经病学年鉴》2023;94:772 - 784。