Bangli Shen, Jinming Cheng, Xi Zhang, Xiaoyuan Wu, Zhihong Wang, Xiaozheng Liu
{"title":"无先兆偏头痛患者的小脑位置功能连接异常增强。","authors":"Bangli Shen, Jinming Cheng, Xi Zhang, Xiaoyuan Wu, Zhihong Wang, Xiaozheng Liu","doi":"10.1186/s13104-024-06991-6","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The neurovascular theory is thought to be one of the main pathological mechanisms of migraine. Locus coeruleus (LC) is a major node in the neurovascular pathway. Exploring the functional network characteristics of LC in migraine without aura (MwoA) patients can help us gain insight into the underlying neural mechanisms in MwoA patients.</p><p><strong>Methods: </strong>In this study, we used resting-state functional magnetic resonance imaging (rsfMRI) and a functional connectivity (FC) approach to explore the functional characteristics of LC in MwoA patients. 17 healthy controls (HCs) and 28 MwoA patients were included in the study. FC was calculated based on rsfMRI data collected by a 3T MRI scanner. General linear model were used to compare whether there were differences in LC brain networks between the two groups. We also utilized logistic regression to explore the role of LC functional networks in the clinical diagnosis of MwoA.</p><p><strong>Results: </strong>After general linear analysis, MwoA patients displayed increased FC from right LC to the left lingual and calcarine sulcus, as well as to the right frontal medial gyrus/orbit part, when compared with HCs. The results of the logistic regression showed that the LC FC signals were 81% accurate in distinguishing MwoA from the HCs.</p><p><strong>Conclusion: </strong>Our results demonstrated that patients with MwoA exhibited significant LC FC differences in the brain areas associated with visual and cognitive function. Understanding the changes in the LC brain network in MwoA patients can provide us with new ideas to understand the pathological mechanisms of MwoA.</p>","PeriodicalId":9234,"journal":{"name":"BMC Research Notes","volume":null,"pages":null},"PeriodicalIF":1.6000,"publicationDate":"2024-11-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542211/pdf/","citationCount":"0","resultStr":"{\"title\":\"The abnormally increased functional connectivity of the locus coeruleus in migraine without aura patients.\",\"authors\":\"Bangli Shen, Jinming Cheng, Xi Zhang, Xiaoyuan Wu, Zhihong Wang, Xiaozheng Liu\",\"doi\":\"10.1186/s13104-024-06991-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The neurovascular theory is thought to be one of the main pathological mechanisms of migraine. Locus coeruleus (LC) is a major node in the neurovascular pathway. Exploring the functional network characteristics of LC in migraine without aura (MwoA) patients can help us gain insight into the underlying neural mechanisms in MwoA patients.</p><p><strong>Methods: </strong>In this study, we used resting-state functional magnetic resonance imaging (rsfMRI) and a functional connectivity (FC) approach to explore the functional characteristics of LC in MwoA patients. 17 healthy controls (HCs) and 28 MwoA patients were included in the study. FC was calculated based on rsfMRI data collected by a 3T MRI scanner. General linear model were used to compare whether there were differences in LC brain networks between the two groups. We also utilized logistic regression to explore the role of LC functional networks in the clinical diagnosis of MwoA.</p><p><strong>Results: </strong>After general linear analysis, MwoA patients displayed increased FC from right LC to the left lingual and calcarine sulcus, as well as to the right frontal medial gyrus/orbit part, when compared with HCs. The results of the logistic regression showed that the LC FC signals were 81% accurate in distinguishing MwoA from the HCs.</p><p><strong>Conclusion: </strong>Our results demonstrated that patients with MwoA exhibited significant LC FC differences in the brain areas associated with visual and cognitive function. Understanding the changes in the LC brain network in MwoA patients can provide us with new ideas to understand the pathological mechanisms of MwoA.</p>\",\"PeriodicalId\":9234,\"journal\":{\"name\":\"BMC Research Notes\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.6000,\"publicationDate\":\"2024-11-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542211/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BMC Research Notes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1186/s13104-024-06991-6\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MULTIDISCIPLINARY SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Research Notes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s13104-024-06991-6","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MULTIDISCIPLINARY SCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
背景:神经血管理论被认为是偏头痛的主要病理机制之一。Locus coeruleus(LC)是神经血管通路的一个主要节点。探索无先兆偏头痛(MwoA)患者LC的功能网络特征有助于我们深入了解MwoA患者的潜在神经机制:在这项研究中,我们使用静息态功能磁共振成像(rsfMRI)和功能连接(FC)方法来探讨无先兆偏头痛患者的LC功能特征。研究纳入了 17 名健康对照组(HCs)和 28 名 MwoA 患者。FC是根据3T磁共振成像扫描仪采集的rsfMRI数据计算得出的。我们使用一般线性模型来比较两组患者的 LC 脑网络是否存在差异。我们还利用逻辑回归探讨了 LC 功能网络在 MwoA 临床诊断中的作用:结果:经过一般线性分析,与普通人相比,MwoA 患者从右侧 LC 到左侧舌沟和钙沟以及右侧额叶内侧回/眶部的 FC 增加。逻辑回归结果显示,LC FC 信号在区分 MwoA 和 HC 方面的准确率为 81%:我们的研究结果表明,MwoA 患者在与视觉和认知功能相关的脑区表现出明显的低密度脂蛋白FC差异。我们的研究结果表明,MwoA 患者在与视觉和认知功能相关的脑区表现出明显的低频FC差异,了解MwoA 患者低频脑网络的变化可为我们理解MwoA 的病理机制提供新的思路。
The abnormally increased functional connectivity of the locus coeruleus in migraine without aura patients.
Background: The neurovascular theory is thought to be one of the main pathological mechanisms of migraine. Locus coeruleus (LC) is a major node in the neurovascular pathway. Exploring the functional network characteristics of LC in migraine without aura (MwoA) patients can help us gain insight into the underlying neural mechanisms in MwoA patients.
Methods: In this study, we used resting-state functional magnetic resonance imaging (rsfMRI) and a functional connectivity (FC) approach to explore the functional characteristics of LC in MwoA patients. 17 healthy controls (HCs) and 28 MwoA patients were included in the study. FC was calculated based on rsfMRI data collected by a 3T MRI scanner. General linear model were used to compare whether there were differences in LC brain networks between the two groups. We also utilized logistic regression to explore the role of LC functional networks in the clinical diagnosis of MwoA.
Results: After general linear analysis, MwoA patients displayed increased FC from right LC to the left lingual and calcarine sulcus, as well as to the right frontal medial gyrus/orbit part, when compared with HCs. The results of the logistic regression showed that the LC FC signals were 81% accurate in distinguishing MwoA from the HCs.
Conclusion: Our results demonstrated that patients with MwoA exhibited significant LC FC differences in the brain areas associated with visual and cognitive function. Understanding the changes in the LC brain network in MwoA patients can provide us with new ideas to understand the pathological mechanisms of MwoA.
BMC Research NotesBiochemistry, Genetics and Molecular Biology-Biochemistry, Genetics and Molecular Biology (all)
CiteScore
3.60
自引率
0.00%
发文量
363
审稿时长
15 weeks
期刊介绍:
BMC Research Notes publishes scientifically valid research outputs that cannot be considered as full research or methodology articles. We support the research community across all scientific and clinical disciplines by providing an open access forum for sharing data and useful information; this includes, but is not limited to, updates to previous work, additions to established methods, short publications, null results, research proposals and data management plans.