...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Seminars in Arthritis and Rheumatism >Multivariate pattern analysis utilizing structural or functional MRI—In individuals with musculoskeletal pain and healthy controls: A systematic review
【24h】

Multivariate pattern analysis utilizing structural or functional MRI—In individuals with musculoskeletal pain and healthy controls: A systematic review

机译：利用具有肌肉骨骼疼痛和健康控制的结构或功能性MRI-In个体的多变量模式分析：系统审查

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Abstract Objective The purpose of this systematic review is to systematically review the evidence relating to findings generated by multivariate pattern analysis (MVPA) following structural or functional magnetic resonance imaging (fMRI) to determine if this analysis is able to: a) Discriminate between individuals with musculoskeletal pain and healthy controls, b) Predict pain perception in healthy individuals stimulated with a noxious stimulus compared to those stimulated with a non-noxious stimulus. Methods MEDLINE, CINAHL, Embase, PEDro, Google Scholar, Cochrane library and Web of Science were systematically screened for relevant literature using different combinations of keywords regarding structural and functional MRI analysed with MVPA, both in individuals with musculoskeletal pain and healthy controls. Reference lists of included articles were hand-searched for additional literature. Eligible articles were assessed on risk of bias and reviewed by two independent researchers. Results The search query returned 18 articles meeting the inclusion criteria. Methodological quality varied from poor to good. Seven studies investigated the ability of machine-learning algorithms to differentiate patient groups from healthy control participants. Overall, the review demonstrated that MVPA can discriminate between individuals with MSK pain and healthy controls with an overall accuracy ranging from 53% to 94%. Twelve studies utilized healthy control participants (using them as their own controls), during experimental pain paradigms aimed to investigate the ability of machine-learning to differentiate individuals stimulated with noxious stimuli from those stimulated with non-noxious stimuli, with ‘pain’ detection rates ranging from 60% to 94%. However, significant heterogeneity in patient conditions, study methodology and brain imaging techniques resulted in various findings that make study comparisons and formal conclusions challenging. Conclusion There is preliminary and emerging evidence that MVPA analyses of structural or functional MRI are able to discriminate between patients and healthy controls, and also discriminate between noxious and non-noxious stimulation. No prospective studies were found in this review to allow determination of the prognostic or diagnostic capabilities or treatment responsiveness of these analyses. Future studies would also benefit from combining various behavioural, genotype and phenotype data into analyses to assist with development of sensitive and specific signatures that could guide future individualized patient treatment options and evaluate how treatments exert their effects.
机译：摘要目的该系统审查的目的是系统地审查与结构或功能磁共振成像（FMRI）之后的多变量模式分析（MVPA）产生的发现有关的证据，以确定该分析是否能够歧视个人之间的歧视肌肉骨骼疼痛和健康对照，B）与具有非有害刺激刺激的人相比，预测刺激的健康个体疼痛感知。方法使用与MVPA分析的结构和功能MRI的不同组合，系统地筛选出系统地筛选Medline，Cinahl，Embase，Pedro，Google Scholar，Cockrane图书馆和科学网的相关文献。除了包括的文章的参考列表被手动搜索了其他文献。符合条件的文章被评估对偏倚风险并由两个独立的研究人员审查。结果搜索查询返回了符合纳入标准的18篇文章。方法论质量因差而变化而变化。七项研究调查了机器学习算法的能力，将患者群体与健康控制参与者区分开来。总体而言，审查证明，MVPA可以在具有MSK疼痛和健康控制的个体之间区分，整体准确性范围为53％至94％。在实验性痛苦期间，利用健康控制参与者使用健康控制参与者（使用它们作为自己的控制），旨在调查机器学习的能力，将以非毒性刺激刺激的人刺激有毒刺激的人，具有“疼痛”的检测率从60％到94％。然而，患者条件下具有显着的异质性，研究方法和脑成像技术导致各种调查结果，使研究比较和正式结论具有挑战性。结论有初步和新兴的证据表明，结构或功能MRI的MVPA分析能够区分患者和健康对照，并歧视有毒和非有害的刺激。本综述中没有发现未来的研究，以允许确定这些分析的预后或诊断能力或治疗响应性。未来的研究也将受益于将各种行为，基因型和表型数据组合成分析，以协助开发敏感和特定签名，可以引导未来个性化患者治疗方案，并评估治疗如何发挥其影响。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号