Department of Radiology, the First Affiliated Hospital, Nanchang University, Nanchang, China.
Department of Pain, the First Affiliated Hospital, Nanchang University, Nanchang, China.
Br J Radiol. 2023 Jan 1;96(1141):20220762. doi: 10.1259/bjr.20220762. Epub 2022 Dec 8.
This study aimed to compare whole brain network between herpes zoster (HZ) patients and post-herpetic neuralgia (PHN) patients, as well as to investigate the associations between whole brain network changes and pain intensity and the accuracy of classifying between different types of pain.
PHN patients ( = 50) and HZ patients ( = 50) and healthy controls (HCs) ( = 50) underwent resting-state functional magnetic resonance imaging (rs-fMRI). Functional connectivity and global and local graph theory metrics were calculated by using Dosenbach-160 atlas. The relationship between neuroimaging indicators and clinical scales was evaluated using correlation analysis, and receiver operating characteristic (ROC) curves evaluated the feasibility of classifying PHN and HZ patients using specific neuroimaging indicators.
(1) 10 greater average connectivities were found in HZ group among the default mode, frontoparietal, cingulo-opercular, sensorimotor, occipital networks (ONs), and cerebellum ( < 0.001). (2) HZ patients exhibited higher global efficiency than those in the PHN and HCs ( = 2.178, = 0.038). (3) Multiple linear regression analyses indicated that functional connectivity between the ventral frontal cortex in the cingulo-opercular network and the occipital gyrus in the ON influenced the visual analog score pain scores (β = 4.273; = 0.004).
The variation of functional connectivity between ventral frontal cortex in the cingulo-opercular network and occipital gyrus in the ON may be a robust neuroimaging marker of the transition from HZ to PHN patients.
Whole-brain network analysis may be effective in distinguishing HZ and PHN patients and predicting pain intensity.
本研究旨在比较带状疱疹(HZ)患者和带状疱疹后神经痛(PHN)患者的全脑网络,并探讨全脑网络变化与疼痛强度的关系,以及分类不同类型疼痛的准确性。
PHN 患者(n=50)、HZ 患者(n=50)和健康对照者(HCs)(n=50)接受静息态功能磁共振成像(rs-fMRI)检查。采用 Dosenbach-160 图谱计算功能连接和全局及局部图论指标。采用相关分析评估神经影像学指标与临床量表的关系,采用受试者工作特征(ROC)曲线评估特定神经影像学指标区分 PHN 和 HZ 患者的可行性。
(1)HZ 组默认模式、额顶叶、扣带前回、感觉运动、枕叶网络(ON)和小脑的平均连接强度更高(10 个,P<0.001)。(2)HZ 患者的全局效率高于 PHN 患者和 HCs(P=2.178,P=0.038)。(3)多元线性回归分析表明,扣带前回腹侧额叶与 ON 枕叶之间的功能连接影响视觉模拟评分疼痛评分(β=4.273,P=0.004)。
扣带前回腹侧额叶与 ON 枕叶之间功能连接的变化可能是 HZ 向 PHN 患者转变的一个稳健的神经影像学标志物。
全脑网络分析可能有助于区分 HZ 和 PHN 患者,并预测疼痛强度。