Zhou Qichen, Zhao Rong, Qin Zhaoxia, Qi Yapeng, Tang Wenshuang, Liu Lan, Wang Weikan, Liu Jian-Ren, Du Xiaoxia
School of Psychology, Shanghai University of Sport, Shanghai, China.
Department of Neurology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Mol Pain. 2024 Jan-Dec;20:17448069241300939. doi: 10.1177/17448069241300939.
This study aimed to investigate the specific manifestations and differences in brain network activity and functional connectivity between brain networks in patients with trigeminal neuralgia and migraine, aiming to reveal the neural basis of these two diseases.
Head and facial pain, including trigeminal neuralgia and migraine, is prevalent globally. However, the underlying neural mechanisms of these conditions remain unclear. Resting-state functional connectivity studies based on independent component analysis (ICA) may offer new insights into these diseases.
The study involved 23 chronic migraine, 37 episodic migraine, 21 trigeminal neuralgia patients, and 33 age- and gender-matched controls. Resting-state functional magnetic resonance imaging was performed, and five sets of brain network components were extracted through ICA. Neuronal activity indicators were calculated for each participant's independent components, including amplitudes of low-frequency fluctuation (ALFF) and regional homogeneity (ReHo). Functional connectivity was also assessed and compared among the four groups.
Trigeminal neuralgia patients showed reduced ALFF in the dorsal attention network versus episodic migraine patients and controls. Both trigeminal neuralgia and chronic migraine patients had decreased ReHo in this network. Migraine patients had weaker connectivity between the default mode and visual networks than controls. Trigeminal neuralgia patients also showed higher connectivity between the somatosensory motor and dorsal attention networks. Compared to episodic migraine, trigeminal neuralgia, and chronic migraine patients had increased connectivity between the visual and dorsal attention networks.
The study provides evidence that long-term chronic head and facial pain may contribute to abnormalities in the activation and connectivity of the dorsal attention network. Compared to migraine patients, trigeminal neuralgia patients exhibit abnormal brain network connectivity, particularly within the somatomotor network, which may explain the presence of significant "trigger points." These findings offer new perspectives for understanding the characteristics of different head and facial pain subtypes.
本研究旨在探究三叉神经痛患者与偏头痛患者脑网络活动及脑网络间功能连接的具体表现和差异,以揭示这两种疾病的神经基础。
包括三叉神经痛和偏头痛在内的头面部疼痛在全球范围内普遍存在。然而,这些病症的潜在神经机制仍不清楚。基于独立成分分析(ICA)的静息态功能连接研究可能为这些疾病提供新的见解。
该研究纳入了23例慢性偏头痛患者、37例发作性偏头痛患者、21例三叉神经痛患者以及33例年龄和性别匹配的对照者。进行了静息态功能磁共振成像,并通过ICA提取了五组脑网络成分。计算了每位参与者独立成分的神经元活动指标,包括低频波动幅度(ALFF)和局部一致性(ReHo)。还评估并比较了四组之间的功能连接。
与发作性偏头痛患者和对照者相比,三叉神经痛患者背侧注意网络的ALFF降低。三叉神经痛患者和慢性偏头痛患者在该网络中的ReHo均降低。偏头痛患者默认模式网络与视觉网络之间的连接比对照者弱。三叉神经痛患者在体感运动网络和背侧注意网络之间也表现出更高的连接性。与发作性偏头痛相比,三叉神经痛患者和慢性偏头痛患者在视觉网络和背侧注意网络之间的连接性增加。
该研究提供了证据,表明长期慢性头面部疼痛可能导致背侧注意网络的激活和连接异常。与偏头痛患者相比,三叉神经痛患者表现出异常的脑网络连接,尤其是在躯体运动网络内,这可能解释了显著“触发点”的存在。这些发现为理解不同头面部疼痛亚型的特征提供了新的视角。