Zhu Yuping, Lai Xunfu, Wang Mengting, Tang Xin, Wan Tianyi, Li Bin, Liu Xiaoming, Wu Jialin, He Lei, He Yulin
Department of Radiology, The First Affiliated Hospital of Nanchang University, Nanchang, People's Republic of China.
Department of Radiology, Yichang Central People's Hospital, Yichang, People's Republic of China.
J Pain Res. 2024 Jun 14;17:2111-2120. doi: 10.2147/JPR.S456437. eCollection 2024.
To separate the resting-state network of patients with dental pain using independent component analysis (ICA) and analyze abnormal changes in functional connectivity within as well as between the networks.
Twenty-three patients with dental pain and 30 healthy controls participated in this study. We extracted the resting-state functional network components of both using ICA. Functional connectivity differences within 14 resting-state brain networks were analyzed at the voxel level. Directional interactions between networks were analyzed using Granger causality analysis. Subsequently, functional connectivity values and causal coefficients were assessed for correlations with clinical parameters.
Compared to healthy controls, we found enhanced functional connectivity in the left superior temporal gyrus of anterior protrusion network and the right Rolandic operculum of auditory network in patients with dental pain (p<0.01 and cluster-level p<0.05, Gaussian random field corrected). In contrast, functional connectivity of the right precuneus in the precuneus network was reduced, and were significantly as well as negatively correlated to those of the Visual Analogue Scale (r=-4.93, p=0.017), Hamilton Anxiety Scale (r=-0.46, p=0.027), and Hamilton Depression Scale (r=-0.563, p<0.01), using the Spearman correlation analysis. Regarding the causal relationship between resting-state brain networks, we found increased connectivity from the language network to the precuneus in patients with dental pain (p<0.05, false discovery rate corrected). However, the increase in causal coefficients from the verbal network to the precuneus network was independent of clinical parameters.
Patients with toothache exhibited abnormal functional changes in cognitive-emotion-related brain networks, such as the salience, auditory, and precuneus networks, thereby offering a new imaging basis for understanding central neural mechanisms in dental pain patients.
采用独立成分分析(ICA)分离牙痛患者的静息态网络,并分析网络内部以及网络之间功能连接的异常变化。
23例牙痛患者和30名健康对照者参与了本研究。我们使用ICA提取了两者的静息态功能网络成分。在体素水平分析了14个静息态脑网络内部的功能连接差异。使用格兰杰因果分析来分析网络之间的定向相互作用。随后,评估功能连接值和因果系数与临床参数的相关性。
与健康对照者相比,我们发现牙痛患者前突出网络的左侧颞上回和听觉网络的右侧中央 operculum 的功能连接增强(p<0.01,聚类水平p<0.05,高斯随机场校正)。相比之下,楔前叶网络中右侧楔前叶的功能连接降低,并且使用斯皮尔曼相关分析,其与视觉模拟量表(r=-4.93,p=0.017)、汉密尔顿焦虑量表(r=-0.46,p=0.027)和汉密尔顿抑郁量表(r=-0.563,p<0.01)显著负相关。关于静息态脑网络之间的因果关系,我们发现牙痛患者从语言网络到楔前叶的连接增加(p<0.05,错误发现率校正)。然而,从言语网络到楔前叶网络的因果系数增加与临床参数无关。
牙痛患者在认知 - 情感相关脑网络,如突显、听觉和楔前叶网络中表现出异常的功能变化,从而为理解牙痛患者的中枢神经机制提供了新的影像学依据。