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Lesion-site-dependent responses to therapy after aphasic stroke.

作者信息

Aguilar Oscar M, Kerry Sheila J, Ong Yean-Hoon, Callaghan Martina F, Crinion Jennifer, Woodhead Zoe Victoria Joan, Price Cathy J, Leff Alexander P, Hope Thomas M H

机构信息

Department of Brain Repair and Rehabilitation, University College London, London, UK.

Wellcome Centre for Human Neuroimaging, University College London, London, UK.

出版信息

J Neurol Neurosurg Psychiatry. 2018 Dec;89(12):1352-1354. doi: 10.1136/jnnp-2017-317446. Epub 2018 Apr 17.

DOI:10.1136/jnnp-2017-317446
PMID:29666209
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6288693/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30de/6288693/2e00400632fb/jnnp-2017-317446f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30de/6288693/2e00400632fb/jnnp-2017-317446f01.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/30de/6288693/2e00400632fb/jnnp-2017-317446f01.jpg

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本文引用的文献

1
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.
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The PLORAS Database: A data repository for Predicting Language Outcome and Recovery After Stroke.PLORAS数据库:一个用于预测中风后语言结果和恢复情况的数据存储库。
Neuroimage. 2016 Jan 1;124(Pt B):1208-1212. doi: 10.1016/j.neuroimage.2015.03.083. Epub 2015 Apr 14.
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The anatomical foundations of acquired reading disorders: a neuropsychological verification of the dual-route model of reading.
Lesion site and therapy time predict responses to a therapy for anomia after stroke: a prognostic model development study.
病灶部位和治疗时间可预测卒中后命名障碍治疗的反应:预后模型开发研究。
Sci Rep. 2021 Sep 17;11(1):18572. doi: 10.1038/s41598-021-97916-x.
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Better long-term speech outcomes in stroke survivors who received early clinical speech and language therapy: What's driving recovery?早期临床言语和语言治疗对脑卒中幸存者的长期言语预后更有益:是什么促进了康复?
Neuropsychol Rehabil. 2022 Oct;32(9):2319-2341. doi: 10.1080/09602011.2021.1944883. Epub 2021 Jul 2.
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Lesion Quantification Toolkit: A MATLAB software tool for estimating grey matter damage and white matter disconnections in patients with focal brain lesions.病灶量化工具包:一个用于估计有局灶性脑损伤患者的灰质损伤和白质中断的 MATLAB 软件工具。
Neuroimage Clin. 2021;30:102639. doi: 10.1016/j.nicl.2021.102639. Epub 2021 Mar 22.
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Efficacy of spoken word comprehension therapy in patients with chronic aphasia: a cross-over randomised controlled trial with structural imaging.口语理解疗法对慢性失语症患者的疗效:一项结合结构成像的交叉随机对照试验
J Neurol Neurosurg Psychiatry. 2020 Nov 5;92(4):418-24. doi: 10.1136/jnnp-2020-324256.
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Aphasia Recovery: When, How and Who to Treat?失语症康复:何时、如何以及谁来治疗?
Curr Neurol Neurosci Rep. 2018 Oct 15;18(12):90. doi: 10.1007/s11910-018-0891-x.
后天性阅读障碍的解剖学基础:阅读双通路模型的神经心理学验证
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Early Activity in Broca's Area During Reading Reflects Fast Access to Articulatory Codes From Print.阅读过程中布罗卡区的早期活动反映了从印刷文字中快速获取发音编码的过程。
Cereb Cortex. 2015 Jul;25(7):1715-23. doi: 10.1093/cercor/bht350. Epub 2014 Jan 20.
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Preservation and modulation of specific left hemisphere regions is vital for treated recovery from anomia in stroke.保护和调节特定的左半球区域对于中风后命名障碍的治疗恢复至关重要。
J Neurosci. 2010 Sep 1;30(35):11558-64. doi: 10.1523/JNEUROSCI.2227-10.2010.
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Predicting the outcome of anomia therapy for people with aphasia post CVA: both language and cognitive status are key predictors.预测 CVA 后失语症患者命名障碍治疗结果:语言和认知状态均为关键预测指标。
Neuropsychol Rehabil. 2010 Apr;20(2):289-305. doi: 10.1080/09602010903237875. Epub 2010 Jan 1.
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Lesion identification using unified segmentation-normalisation models and fuzzy clustering.使用统一分割归一化模型和模糊聚类进行病变识别。
Neuroimage. 2008 Jul 15;41(4):1253-66. doi: 10.1016/j.neuroimage.2008.03.028. Epub 2008 Mar 28.
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Lesion site patterns in severe, nonverbal aphasia to predict outcome with a computer-assisted treatment program.重度非言语性失语的病变部位模式,以预测计算机辅助治疗方案的效果。
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A new brain region for coordinating speech articulation.一个用于协调言语发音的新脑区。
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