• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

相似文献

1
Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy.慢性失语症治疗反应的预测因素:为个性化失语症治疗奠定基础。
J Stroke. 2022 May;24(2):189-206. doi: 10.5853/jos.2022.01102. Epub 2022 May 31.
2
Prognostication in post-stroke aphasia: How do speech pathologists formulate and deliver information about recovery?卒中后失语症的预后:言语病理学家如何制定和传达关于恢复的信息?
Int J Lang Commun Disord. 2020 Jul;55(4):520-536. doi: 10.1111/1460-6984.12534. Epub 2020 Apr 29.
3
4
Speech and language therapy for aphasia following stroke.中风后失语症的言语和语言治疗
Cochrane Database Syst Rev. 2016 Jun 1;2016(6):CD000425. doi: 10.1002/14651858.CD000425.pub4.
5
Computerised speech and language therapy or attention control added to usual care for people with long-term post-stroke aphasia: the Big CACTUS three-arm RCT.计算机化言语和语言治疗或注意力控制联合常规护理用于长期卒中后失语症患者:大 CACTUS 三臂 RCT。
Health Technol Assess. 2020 Apr;24(19):1-176. doi: 10.3310/hta24190.
6
What speech and language therapy do community dwelling stroke survivors with aphasia receive in the UK?在英国,社区居住的失语症脑卒中幸存者接受了哪些言语和语言治疗?
PLoS One. 2018 Jul 10;13(7):e0200096. doi: 10.1371/journal.pone.0200096. eCollection 2018.
7
Current Approaches to the Treatment of Post-Stroke Aphasia.中风后失语症的当前治疗方法。
J Stroke. 2021 May;23(2):183-201. doi: 10.5853/jos.2020.05015. Epub 2021 May 31.
8
Speech and language therapy for aphasia following stroke.中风后失语症的言语和语言治疗
Cochrane Database Syst Rev. 2000(2):CD000425. doi: 10.1002/14651858.CD000425.
9
Assessment and treatment of short-term and working memory impairments in stroke aphasia: a practical tutorial.中风失语症短期和工作记忆障碍的评估与治疗:实用教程
Int J Lang Commun Disord. 2015 Nov-Dec;50(6):721-36. doi: 10.1111/1460-6984.12172. Epub 2015 Jun 30.
10
Intensive speech and language therapy in patients with chronic aphasia after stroke: a randomised, open-label, blinded-endpoint, controlled trial in a health-care setting.在脑卒中后慢性失语症患者中进行强化语言治疗:一项在医疗保健环境中进行的随机、开放标签、盲终点、对照试验。
Lancet. 2017 Apr 15;389(10078):1528-1538. doi: 10.1016/S0140-6736(17)30067-3. Epub 2017 Mar 1.

引用本文的文献

1
An Introduction to Machine Learning for Speech-Language Pathologists: Concepts, Terminology, and Emerging Applications.面向言语语言病理学家的机器学习导论:概念、术语及新兴应用
Perspect ASHA Spec Interest Groups. 2025 Apr;10(2):432-450. doi: 10.1044/2024_persp-24-00037. Epub 2025 Apr 1.
2
Multifactorial interplay on language recovery following left-hemispheric stroke: A retrospective study.左半球中风后语言恢复的多因素相互作用:一项回顾性研究。
J Neuropsychol. 2025 Jun;19(2):256-273. doi: 10.1111/jnp.12406. Epub 2024 Dec 23.
3
What Impacts What: Clinicians' Perspectives of Causality in Aphasia Rehabilitation.什么影响什么:失语症康复中临床医生对因果关系的看法。
Am J Speech Lang Pathol. 2024 Nov 4;33(6):3012-3025. doi: 10.1044/2024_AJSLP-24-00174. Epub 2024 Oct 7.
4
Cerebellar Atrophy and Language Processing in Chronic Left-Hemisphere Stroke.慢性左半球中风中的小脑萎缩与语言处理
Neurobiol Lang (Camb). 2024 Aug 15;5(3):722-735. doi: 10.1162/nol_a_00120. eCollection 2024.
5
An electrophysiological and behavioral investigation of feedback-based learning in aphasia.失语症中基于反馈学习的电生理与行为学研究
Aphasiology. 2024;38(7):1195-1221. doi: 10.1080/02687038.2023.2267780. Epub 2023 Oct 22.
6
Microstructural properties in subacute aphasia: concurrent and prospective relationships underpinning recovery.亚急性失语症的微观结构特性:恢复过程中的并发关系和前瞻性关联
Brain Struct Funct. 2024 Dec;229(9):2207-2217. doi: 10.1007/s00429-024-02826-z. Epub 2024 Jul 6.
7
Regional brain aging: premature aging of the domain general system predicts aphasia severity.区域性脑老化:一般领域系统的过早老化预测失语症严重程度。
Commun Biol. 2024 Jun 11;7(1):718. doi: 10.1038/s42003-024-06211-8.
8
Success rates of intensive aphasia therapy: real-world data from 448 patients between 2003 and 2020.强化失语症治疗的成功率:2003 年至 2020 年间 448 例患者的真实世界数据。
J Neurol. 2024 Nov;271(11):7169-7183. doi: 10.1007/s00415-024-12429-7. Epub 2024 May 20.
9
A Meta-Analysis of Anomia Treatment in Bilingual Aphasia: Within- and Cross-Language Generalization and Predictors of the Treatment Outcomes.双语失语症中命名障碍治疗的荟萃分析:语言内和跨语言的泛化及治疗效果的预测因素。
J Speech Lang Hear Res. 2024 May 7;67(5):1558-1600. doi: 10.1044/2024_JSLHR-23-00026. Epub 2024 Apr 17.
10
Multilevel factors predict treatment response following semantic feature-based intervention in bilingual aphasia.多水平因素预测双语失语症患者基于语义特征干预后的治疗反应。
Biling (Camb Engl). 2024 Mar;27(2):246-262. doi: 10.1017/s1366728923000391. Epub 2023 Aug 22.

本文引用的文献

1
A Review on Treatment-Related Brain Changes in Aphasia.失语症中与治疗相关的脑变化综述。
Neurobiol Lang (Camb). 2020 Oct 1;1(4):402-433. doi: 10.1162/nol_a_00019. eCollection 2020.
2
Individualized response to semantic versus phonological aphasia therapies in stroke.中风患者对语义性失语症与音韵性失语症疗法的个体化反应。
Brain Commun. 2021 Aug 5;3(3):fcab174. doi: 10.1093/braincomms/fcab174. eCollection 2021.
3
A systematic review of maintenance following intensive therapy programs in chronic post-stroke aphasia: importance of individual response analysis.慢性卒中后失语症强化治疗后维持治疗的系统评价:个体反应分析的重要性。
Disabil Rehabil. 2022 Oct;44(20):5811-5826. doi: 10.1080/09638288.2021.1955303. Epub 2021 Aug 12.
4
Current Approaches to the Treatment of Post-Stroke Aphasia.中风后失语症的当前治疗方法。
J Stroke. 2021 May;23(2):183-201. doi: 10.5853/jos.2020.05015. Epub 2021 May 31.
5
Neuroplasticity in post-stroke aphasia: A systematic review and meta-analysis of functional imaging studies of reorganization of language processing.中风后失语症中的神经可塑性:语言处理重组功能成像研究的系统评价和荟萃分析
Neurobiol Lang (Camb). 2021;2(1):22-82. doi: 10.1162/nol_a_00025. Epub 2020 Dec 1.
6
Predicting language recovery in post-stroke aphasia using behavior and functional MRI.使用行为和功能磁共振成像预测脑卒中后失语症的语言恢复。
Sci Rep. 2021 Apr 19;11(1):8419. doi: 10.1038/s41598-021-88022-z.
7
Effect of Stroke on Contralateral Functional Connectivity.卒中对健侧功能连接的影响。
Brain Connect. 2021 Sep;11(7):543-552. doi: 10.1089/brain.2020.0901. Epub 2021 May 13.
8
Predictors of Poststroke Aphasia Recovery: A Systematic Review-Informed Individual Participant Data Meta-Analysis.预测脑卒中后失语症恢复的因素:基于系统评价的个体参与者数据荟萃分析。
Stroke. 2021 May;52(5):1778-1787. doi: 10.1161/STROKEAHA.120.031162. Epub 2021 Mar 15.
9
Machine learning-based multimodal prediction of language outcomes in chronic aphasia.基于机器学习的慢性失语症语言预后的多模态预测。
Hum Brain Mapp. 2021 Apr 15;42(6):1682-1698. doi: 10.1002/hbm.25321. Epub 2020 Dec 30.
10
Mechanisms underlying anomia treatment outcomes.命名障碍治疗效果的作用机制。
J Commun Disord. 2020 Nov-Dec;88:106048. doi: 10.1016/j.jcomdis.2020.106048. Epub 2020 Sep 29.

慢性失语症治疗反应的预测因素:为个性化失语症治疗奠定基础。

Predictors of Therapy Response in Chronic Aphasia: Building a Foundation for Personalized Aphasia Therapy.

作者信息

Kristinsson Sigfus, den Ouden Dirk B, Rorden Chris, Newman-Norlund Roger, Neils-Strunjas Jean, Fridriksson Julius

机构信息

Center for the Study of Aphasia Recovery, University of South Carolina, Columbia, SC, USA.

Department of Communication Sciences and Disorders, University of South Carolina, Columbia, SC, USA.

出版信息

J Stroke. 2022 May;24(2):189-206. doi: 10.5853/jos.2022.01102. Epub 2022 May 31.

DOI:10.5853/jos.2022.01102
PMID:35677975
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9194549/
Abstract

Chronic aphasia, a devastating impairment of language, affects up to a third of stroke survivors. Speech and language therapy has consistently been shown to improve language function in prior clinical trials, but few clinicially applicable predictors of individual therapy response have been identified to date. Consequently, clinicians struggle substantially with prognostication in the clinical management of aphasia. A rising prevalence of aphasia, in particular in younger populations, has emphasized the increasing demand for a personalized approach to aphasia therapy, that is, therapy aimed at maximizing language recovery of each individual with reference to evidence-based clinical recommendations. In this narrative review, we discuss the current state of the literature with respect to commonly studied predictors of therapy response in aphasia. In particular, we focus our discussion on biographical, neuropsychological, and neurobiological predictors, and emphasize limitations of the literature, summarize consistent findings, and consider how the research field can better support the development of personalized aphasia therapy. In conclusion, a review of the literature indicates that future research efforts should aim to recruit larger samples of people with aphasia, including by establishing multisite aphasia research centers.

摘要

慢性失语症是一种严重的语言障碍,影响着多达三分之一的中风幸存者。在先前的临床试验中,言语和语言治疗一直被证明能改善语言功能,但迄今为止,几乎没有发现临床上可应用的个体治疗反应预测指标。因此,临床医生在失语症的临床管理中进行预后判断时面临很大困难。失语症的患病率不断上升,尤其是在年轻人群中,这凸显了对失语症个性化治疗方法的需求不断增加,即根据循证临床建议,旨在使每个个体的语言恢复最大化的治疗方法。在这篇叙述性综述中,我们讨论了关于失语症治疗反应的常见研究预测指标的文献现状。特别是,我们将讨论重点放在个人信息、神经心理学和神经生物学预测指标上,并强调文献的局限性,总结一致的研究结果,并思考该研究领域如何能更好地支持个性化失语症治疗的发展。总之,对文献的综述表明,未来的研究工作应旨在招募更大样本的失语症患者,包括通过建立多中心失语症研究中心来实现。