Lin Churong, Xie Ya, Liu Dong, Liu Budian, Gu Jieruo, Wang Xiaohong, Qin Jie
Radiology Department, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
Department of Rheumatology and Immunology, The Third Affiliated Hospital of Sun Yat-Sen University, Guangzhou, People's Republic of China.
J Pain Res. 2025 Sep 2;18:4551-4563. doi: 10.2147/JPR.S515977. eCollection 2025.
Previous studies have revealed alterations of the functional connectivity of the brain networks in ankylosing spondylitis (AS). Fractional amplitude of low-frequency fluctuations (fALFF) and regional homogeneity (ReHo) are both voxel-based functional metrics capable of estimating local spontaneous neural activities. This study aimed to investigate the local spontaneous neural activities in AS patients by utilizing the analytical approaches of fALFF and ReHo.
A total of 78 AS patients and 59 healthy controls (HCs) underwent resting-state functional magnetic resonance imaging. fALFF and ReHo maps were generated to identify brain regions with aberrations of spontaneous neural activities in AS patients. Different frequency bands, including the standard frequency band (0.01-0.1 Hz), slow-5 (0.01-0.027 Hz), and slow-4 (0.027-0.073 Hz), were adopted in the fALFF analysis.
Compared with HCs, AS patients exhibited extensive alterations of fALFF and ReHo values in brain regions belonging to the default mode network (DMN), salience network (SN), frontoparietal network (FPN), sensorimotor network, visual network and the cerebellum. Clusters found in the slow-5 band only showed significantly decreased fALFF values, whereas the slow-4 was the major contributor to the elevated fALFF values in the standard band.
The fALFF and ReHo analyses consistently revealed significantly altered local spontaneous neural activities in AS patients, especially in the DMN, SN and FPN, comprising the triple network model. The slow-4 band might be more sensitive to the elevated fALFF values in AS patients than the slow-5 band. Our findings provide further evidence that the aberrations of the triple network model serve as an important feature of AS from the perspective of local neural activities.
先前的研究已经揭示了强直性脊柱炎(AS)患者脑网络功能连接的改变。低频振幅分数(fALFF)和局部一致性(ReHo)都是基于体素的功能指标,能够估计局部自发神经活动。本研究旨在利用fALFF和ReHo的分析方法来研究AS患者的局部自发神经活动。
共78例AS患者和59名健康对照(HCs)接受了静息态功能磁共振成像。生成fALFF和ReHo图谱,以识别AS患者中自发神经活动异常的脑区。fALFF分析采用了不同的频段,包括标准频段(0.01-0.1Hz)、慢波5(0.01-0.027Hz)和慢波4(0.027-0.073Hz)。
与HCs相比,AS患者在属于默认模式网络(DMN)、突显网络(SN)、额顶叶网络(FPN)、感觉运动网络、视觉网络和小脑的脑区中,fALFF和ReHo值出现了广泛改变。仅在慢波5频段发现的簇仅显示fALFF值显著降低,而慢波4是标准频段中fALFF值升高的主要贡献者。
fALFF和ReHo分析一致显示AS患者的局部自发神经活动有显著改变,尤其是在包含三重网络模型的DMN、SN和FPN中。慢波4频段可能比慢波5频段对AS患者fALFF值升高更敏感。我们的研究结果进一步证明,从局部神经活动的角度来看,三重网络模型的异常是AS的一个重要特征。