{"title":"多发性硬化症患者白质纤维密度降低。","authors":"Zeinab Gharaylou, Fatemeh Shahbodaghy, Pirhossein Kolivand, Maryam Kolivand, Fatemeh Azizzadeh, Masoumeh Rostampour","doi":"10.1089/brain.2023.0068","DOIUrl":null,"url":null,"abstract":"<p><p><b><i>Introduction:</i></b> Improved understanding of multiple sclerosis (MS) symptomatology, disease mechanisms, and clinical effectiveness can be achieved by investigating microstructural damage. The aim was to gain deeper insights into changes in white matter (WM) tracts in MS patients. <b><i>Methods:</i></b> Diffusion magnetic resonance imaging-based tractography was utilized to segment WM tracts into regions of interest for further quantitative analysis. However, tractography is susceptible to false-positive findings, reducing its specificity and clinical feasibility. To address these limitations, the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) technique was used. COMMIT was used to derive measures of intracellular compartment (IC) and isotropic compartments from multishell diffusion data of 40 healthy controls (HCs) and 40 MS patients. <b><i>Results:</i></b> The analysis revealed a widespread pattern of significantly decreased IC values in MS patients compared with HCs across 61,581 voxels (<i>p</i><sub>FWE</sub> < 0.05, threshold-free cluster enhancement [TFCE] corrected). Similar WM structures studied using the fractional anisotropy (FA) value also showed a reduction in FA among MS patients compared with HCs across 57,304 voxels (<i>p</i><sub>FWE</sub> < 0.05, TFCE corrected). Out of the 61,581 voxels exhibiting lower IC, a substantial overlap of 47,251 voxels (76.72%) also demonstrated lower FA in MS patients compared with HCs. <b><i>Discussion:</i></b> The data suggested that lower IC values contributed to the explanation of FA reductions. In addition, IC showed promising potential for evaluating microstructural abnormalities in WM in MS, potentially being more sensitive than the frequently used FA value.</p>","PeriodicalId":9155,"journal":{"name":"Brain connectivity","volume":" ","pages":"172-181"},"PeriodicalIF":2.4000,"publicationDate":"2024-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reduced White Matter Fiber Density in Patients with Multiple Sclerosis.\",\"authors\":\"Zeinab Gharaylou, Fatemeh Shahbodaghy, Pirhossein Kolivand, Maryam Kolivand, Fatemeh Azizzadeh, Masoumeh Rostampour\",\"doi\":\"10.1089/brain.2023.0068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p><b><i>Introduction:</i></b> Improved understanding of multiple sclerosis (MS) symptomatology, disease mechanisms, and clinical effectiveness can be achieved by investigating microstructural damage. The aim was to gain deeper insights into changes in white matter (WM) tracts in MS patients. <b><i>Methods:</i></b> Diffusion magnetic resonance imaging-based tractography was utilized to segment WM tracts into regions of interest for further quantitative analysis. However, tractography is susceptible to false-positive findings, reducing its specificity and clinical feasibility. To address these limitations, the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) technique was used. COMMIT was used to derive measures of intracellular compartment (IC) and isotropic compartments from multishell diffusion data of 40 healthy controls (HCs) and 40 MS patients. <b><i>Results:</i></b> The analysis revealed a widespread pattern of significantly decreased IC values in MS patients compared with HCs across 61,581 voxels (<i>p</i><sub>FWE</sub> < 0.05, threshold-free cluster enhancement [TFCE] corrected). Similar WM structures studied using the fractional anisotropy (FA) value also showed a reduction in FA among MS patients compared with HCs across 57,304 voxels (<i>p</i><sub>FWE</sub> < 0.05, TFCE corrected). Out of the 61,581 voxels exhibiting lower IC, a substantial overlap of 47,251 voxels (76.72%) also demonstrated lower FA in MS patients compared with HCs. <b><i>Discussion:</i></b> The data suggested that lower IC values contributed to the explanation of FA reductions. In addition, IC showed promising potential for evaluating microstructural abnormalities in WM in MS, potentially being more sensitive than the frequently used FA value.</p>\",\"PeriodicalId\":9155,\"journal\":{\"name\":\"Brain connectivity\",\"volume\":\" \",\"pages\":\"172-181\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2024-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brain connectivity\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1089/brain.2023.0068\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/14 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q3\",\"JCRName\":\"NEUROSCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brain connectivity","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1089/brain.2023.0068","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/14 0:00:00","PubModel":"Epub","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
摘要
导言:通过研究微结构损伤,可以加深对多发性硬化症(MS)症状学、疾病机制和临床疗效的理解。本研究旨在深入了解多发性硬化症患者白质(WM)束的变化:方法:利用基于弥散磁共振成像的束成像技术将白质束分割成感兴趣的区域,以便进一步进行定量分析。然而,束成像容易出现假阳性结果,降低了其特异性和临床可行性。为了解决这些局限性,研究人员采用了微结构知情束成像凸面优化建模(COMMIT)技术。COMMIT 用于从 40 名健康对照组(HCs)和 40 名多发性硬化症患者的多壳体扩散数据中得出细胞内(IC)和各向同性(ISO)分区的测量值:分析结果显示,与健康对照组相比,多发性硬化症患者的IC值在61,581个体素上普遍明显下降(pFWE < 0.05,TFCE校正)。使用分数各向异性(FA)值研究的类似WM结构也显示,在57,304个体素上,多发性硬化症患者的FA值与普通人相比有所降低(pFWE < 0.05,TFCE校正)。在显示较低 IC 值的 61,581 个体素中,有 47,251 个体素(76.72%)也显示 MS 患者的 FA 值低于 HC 患者:讨论:数据表明,较低的IC值有助于解释FA降低的原因。此外,IC在评估多发性硬化症患者WM微结构异常方面显示出良好的潜力,其灵敏度可能高于常用的FA值。
Reduced White Matter Fiber Density in Patients with Multiple Sclerosis.
Introduction: Improved understanding of multiple sclerosis (MS) symptomatology, disease mechanisms, and clinical effectiveness can be achieved by investigating microstructural damage. The aim was to gain deeper insights into changes in white matter (WM) tracts in MS patients. Methods: Diffusion magnetic resonance imaging-based tractography was utilized to segment WM tracts into regions of interest for further quantitative analysis. However, tractography is susceptible to false-positive findings, reducing its specificity and clinical feasibility. To address these limitations, the Convex Optimization Modeling for Microstructure Informed Tractography (COMMIT) technique was used. COMMIT was used to derive measures of intracellular compartment (IC) and isotropic compartments from multishell diffusion data of 40 healthy controls (HCs) and 40 MS patients. Results: The analysis revealed a widespread pattern of significantly decreased IC values in MS patients compared with HCs across 61,581 voxels (pFWE < 0.05, threshold-free cluster enhancement [TFCE] corrected). Similar WM structures studied using the fractional anisotropy (FA) value also showed a reduction in FA among MS patients compared with HCs across 57,304 voxels (pFWE < 0.05, TFCE corrected). Out of the 61,581 voxels exhibiting lower IC, a substantial overlap of 47,251 voxels (76.72%) also demonstrated lower FA in MS patients compared with HCs. Discussion: The data suggested that lower IC values contributed to the explanation of FA reductions. In addition, IC showed promising potential for evaluating microstructural abnormalities in WM in MS, potentially being more sensitive than the frequently used FA value.
期刊介绍:
Brain Connectivity provides groundbreaking findings in the rapidly advancing field of connectivity research at the systems and network levels. The Journal disseminates information on brain mapping, modeling, novel research techniques, new imaging modalities, preclinical animal studies, and the translation of research discoveries from the laboratory to the clinic.
This essential journal fosters the application of basic biological discoveries and contributes to the development of novel diagnostic and therapeutic interventions to recognize and treat a broad range of neurodegenerative and psychiatric disorders such as: Alzheimer’s disease, attention-deficit hyperactivity disorder, posttraumatic stress disorder, epilepsy, traumatic brain injury, stroke, dementia, and depression.