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本文引用的文献

1
Effects of Vascular Comorbidity on Cognition in Multiple Sclerosis Are Partially Mediated by Changes in Brain Structure.血管合并症对多发性硬化症认知的影响部分由脑结构变化介导。
Front Neurol. 2022 May 24;13:910014. doi: 10.3389/fneur.2022.910014. eCollection 2022.
2
Interface of Multiple Sclerosis, Depression, Vascular Disease, and Mortality: A Population-Based Matched Cohort Study.多发性硬化症、抑郁、血管疾病和死亡率的关系:一项基于人群的匹配队列研究。
Neurology. 2021 Sep 28;97(13):e1322-e1333. doi: 10.1212/WNL.0000000000012610. Epub 2021 Sep 1.
3
Higher Framingham Risk Scores are associated with greater loss of brain volume over time in multiple sclerosis.更高的弗雷明汉风险评分与多发性硬化症患者随时间推移脑容量的更大损失有关。
Mult Scler Relat Disord. 2021 Sep;54:103088. doi: 10.1016/j.msard.2021.103088. Epub 2021 Jun 17.
4
A Retrospective Exploratory Analysis on Cardiovascular Risk and Cognitive Dysfunction in Multiple Sclerosis.多发性硬化症中心血管风险与认知功能障碍的回顾性探索性分析
Brain Sci. 2021 Apr 16;11(4):502. doi: 10.3390/brainsci11040502.
5
Which multiband factor should you choose for your resting-state fMRI study?在静息态 fMRI 研究中,应该选择哪个多频段因子?
Neuroimage. 2021 Jul 1;234:117965. doi: 10.1016/j.neuroimage.2021.117965. Epub 2021 Mar 17.
6
Performance of Regression-Based Norms for Cognitive Functioning of Persons With Multiple Sclerosis in an Independent Sample.基于回归的多发性硬化症患者认知功能常模在独立样本中的表现。
Front Neurol. 2021 Jan 14;11:621010. doi: 10.3389/fneur.2020.621010. eCollection 2020.
7
QSMART: Quantitative susceptibility mapping artifact reduction technique.QSMART:定量磁敏感图伪影减少技术。
Neuroimage. 2021 May 1;231:117701. doi: 10.1016/j.neuroimage.2020.117701. Epub 2021 Jan 20.
8
The Framingham cardiovascular risk score and 5-year progression of multiple sclerosis.弗雷明汉心血管风险评分与多发性硬化症的 5 年进展。
Eur J Neurol. 2021 Mar;28(3):893-900. doi: 10.1111/ene.14608. Epub 2020 Nov 21.
9
Anxiety and depression affect performance on the symbol digit modalities test over time in MS and other immune disorders.焦虑和抑郁会随着时间的推移影响多发性硬化症和其他免疫性疾病患者在符号数字模式测试中的表现。
Mult Scler. 2021 Jul;27(8):1284-1292. doi: 10.1177/1352458520961534. Epub 2020 Sep 25.
10
Spatial normalization of multiple sclerosis brain MRI data depends on analysis method and software package.多发性硬化症脑 MRI 数据的空间标准化取决于分析方法和软件包。
Magn Reson Imaging. 2020 May;68:83-94. doi: 10.1016/j.mri.2020.01.016. Epub 2020 Jan 30.

多发性硬化症合并症与认知(CCOMS)神经影像协议:研究原理、MRI采集及最小图像处理流程

The comorbidity and cognition in multiple sclerosis (CCOMS) neuroimaging protocol: Study rationale, MRI acquisition, and minimal image processing pipelines.

作者信息

Uddin Md Nasir, Figley Teresa D, Kornelsen Jennifer, Mazerolle Erin L, Helmick Carl A, O'Grady Christopher B, Pirzada Salina, Patel Ronak, Carter Sean, Wong Kaihim, Essig Marco R, Graff Lesley A, Bolton James M, Marriott James J, Bernstein Charles N, Fisk John D, Marrie Ruth Ann, Figley Chase R

机构信息

Department of Radiology, Max Rady College of Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, MB, Canada.

Division of Diagnostic Imaging, Health Sciences Centre Winnipeg, Winnipeg, MB, Canada.

出版信息

Front Neuroimaging. 2022 Aug 24;1:970385. doi: 10.3389/fnimg.2022.970385. eCollection 2022.

DOI:10.3389/fnimg.2022.970385
PMID:37555178
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10406313/
Abstract

The Comorbidity and Cognition in Multiple Sclerosis (CCOMS) study represents a coordinated effort by a team of clinicians, neuropsychologists, and neuroimaging experts to investigate the neural basis of cognitive changes and their association with comorbidities among persons with multiple sclerosis (MS). The objectives are to determine the relationships among psychiatric (e.g., depression or anxiety) and vascular (e.g., diabetes, hypertension, etc.) comorbidities, cognitive performance, and MRI measures of brain structure and function, including changes over time. Because neuroimaging forms the basis for several investigations of specific neural correlates that will be reported in future publications, the goal of the current manuscript is to briefly review the CCOMS study design and baseline characteristics for participants enrolled in the three study cohorts (MS, psychiatric control, and healthy control), and provide a detailed description of the MRI hardware, neuroimaging acquisition parameters, and image processing pipelines for the volumetric, microstructural, functional, and perfusion MRI data.

摘要

多发性硬化症的共病与认知(CCOMS)研究是由一组临床医生、神经心理学家和神经影像学专家共同开展的一项协作研究,旨在探究认知变化的神经基础及其与多发性硬化症(MS)患者共病之间的关联。其目标是确定精神疾病(如抑郁症或焦虑症)和血管疾病(如糖尿病、高血压等)共病、认知表现以及脑结构和功能的MRI测量指标(包括随时间的变化)之间的关系。由于神经影像学是未来出版物中将要报道的几项特定神经关联研究的基础,因此本手稿的目的是简要回顾CCOMS研究设计以及三个研究队列(MS、精神疾病对照和健康对照)参与者的基线特征,并详细描述用于容积、微观结构、功能和灌注MRI数据的MRI硬件、神经影像学采集参数以及图像处理流程。