Abnormal dynamic functional networks during pain-free periods: Resting-state co-activation pattern analysis in primary dysmenorrhea

IF 4.7 2区 医学 Q1 NEUROIMAGING
Huiping Liu , Xing Su , Meiling Shang , Ling Ma , Weixian Bai , Hui Wang , Lu Quan , Youjun Li , Zigang Huang , Jiaxi He , Wanghuan Dun , Yuchen Zhang
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引用次数: 0

Abstract

Chronic pain alters the configuration of brain functional networks. Primary dysmenorrhea (PDM) is a form of chronic visceral pain, which has been identified spatial alterations in brain functional networks using static functional connectivity analysis methods. However, the dynamics alterations of brain functional networks during pain-free periovulation phase remain unclear. Using the co-activation pattern (CAP) method, we investigated the dynamic network characteristics of brain functional networks and their relationship with pain-related emotions in a sample of 59 women with PDM and 57 demographically matched healthy controls (HCs) during the pain-free periovulation phase. We observed that patients with PDM showed significant alterations in brain dynamics compared to HCs in the slow-4 (0.027–0.073 Hz) frequency band during the pain-free periovulation phase. Additionally, the fraction of time for CAP state 2 was positively correlated with the Pain Catastrophizing Scale-helplessness score, while the persistence time for CAP state 1 was positively correlated with the McGill Pain Questionnaire score. Our results provide new insights, suggesting that the atypical brain functional network dynamics may serve as a potential biological marker of patients with PDM during the pain-free periovulation phase.
无痛期动态功能网络异常:原发性痛经静息态共激活模式分析:原发性痛经动态功能网络异常。
慢性疼痛会改变大脑功能网络的结构。原发性痛经(PDM)是一种慢性内脏疼痛,已通过静态功能连接分析方法确定了脑功能网络的空间变化。然而,在无痛排卵期,脑功能网络的动态变化仍不清楚。采用共激活模式(CAP)方法,研究了59名PDM女性和57名人口统计学匹配的健康对照(hc)在无痛周期的脑功能网络的动态网络特征及其与疼痛相关情绪的关系。我们观察到,与hc相比,PDM患者在无痛周期的慢-4频段(0.027-0.073 Hz)表现出显著的脑动力学改变。此外,CAP状态2的持续时间与疼痛灾难化量表-无助得分呈正相关,而CAP状态1的持续时间与McGill疼痛问卷得分呈正相关。我们的研究结果提供了新的见解,表明非典型脑功能网络动力学可能作为PDM患者在无痛排卵期的潜在生物学标志物。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
NeuroImage
NeuroImage 医学-核医学
CiteScore
11.30
自引率
10.50%
发文量
809
审稿时长
63 days
期刊介绍: NeuroImage, a Journal of Brain Function provides a vehicle for communicating important advances in acquiring, analyzing, and modelling neuroimaging data and in applying these techniques to the study of structure-function and brain-behavior relationships. Though the emphasis is on the macroscopic level of human brain organization, meso-and microscopic neuroimaging across all species will be considered if informative for understanding the aforementioned relationships.
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