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[神经网络对中风后运动康复的重要性]

[The importance of neuronal networks for motor rehabilitation after a stroke].

作者信息

Hummel F C

机构信息

Defitech Chair of Clinical Neuroengineering, BrainMind Institute (BMI) and Center for Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL), Campus Biotech, Rm H4.3.132.084 9, Chemin des Mines, 1202, Genf, Schweiz.

Defitech Chair of Clinical Neuroengineering, BrainMind Institute (BMI) and Center for Neuroprosthetics (CNP), Swiss Federal Institute of Technology (EPFL Valais), Clinique Romande de Réadaptation, 1951, Sitten, Schweiz.

出版信息

Nervenarzt. 2017 Aug;88(8):850-857. doi: 10.1007/s00115-017-0369-0.

DOI:10.1007/s00115-017-0369-0
PMID:28656344
Abstract

Every year in Europe 1.5 million patients suffer a new stroke. Despite the further developments in acute therapy with nationwide stroke units, thrombolysis, thrombectomy and post-acute neurorehabilitation, only a small proportion of patients recover to a satisfactory degree allowing them to return to their normal social and professional life. This makes stroke the main cause of long-term disability with a corresponding impact on patient lives, socioeconomics and the healthcare system. Thus, the concepts of neurorehabilitation have to be extended to enhance the effects of rehabilitative treatment strategies. To achieve this, an understanding of the prediction of the course of recovery, the mechanisms underlying functional recovery and factors influencing recovery have to be enhanced for the development towards patient-tailored precision medicine approaches. A central point towards this is the understanding of stroke as a disease, which not only influences the damaged area but also the associated network. This is crucial for the understanding of the stroke-induced deficits, for prediction of recovery and options for interventional treatment strategies, which can target different areas in this network (e.g. primary motor cortex and secondary motor regions) based on individual factors of the patient. The present article discusses the importance of network alterations for motor neurorehabilitation after a stroke and which novel options, concepts and consequences could arise from this for neurorehabilitation.

摘要

在欧洲,每年有150万患者首次发生中风。尽管在急性治疗方面有了进一步发展,建立了全国性的中风单元,开展了溶栓、取栓及急性后期神经康复治疗,但只有一小部分患者能恢复到令人满意的程度,从而能够回归正常的社会和职业生活。这使得中风成为长期残疾的主要原因,对患者生活、社会经济和医疗保健系统产生相应影响。因此,神经康复的理念必须加以扩展,以增强康复治疗策略的效果。要做到这一点,就必须加强对恢复过程预测、功能恢复潜在机制以及影响恢复因素的理解,从而朝着针对患者的精准医疗方法发展。实现这一目标的一个关键点是将中风理解为一种不仅影响受损区域而且影响相关网络的疾病。这对于理解中风导致的功能障碍、预测恢复情况以及介入治疗策略的选择至关重要,这些治疗策略可以根据患者的个体因素针对该网络中的不同区域(如初级运动皮层和次级运动区域)。本文讨论了网络改变对中风后运动神经康复的重要性,以及由此可能为神经康复带来的新选择、新理念和新结果。

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1
[The importance of neuronal networks for motor rehabilitation after a stroke].[神经网络对中风后运动康复的重要性]
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本文引用的文献

1
Interactions Between the Corticospinal Tract and Premotor-Motor Pathways for Residual Motor Output After Stroke.皮质脊髓束与运动前区-运动区通路在脑卒中后残留运动功能中的相互作用。
Stroke. 2017 Oct;48(10):2805-2811. doi: 10.1161/STROKEAHA.117.016834. Epub 2017 Sep 13.
2
Toward precision medicine: tailoring interventional strategies based on noninvasive brain stimulation for motor recovery after stroke.迈向精准医学:基于无创脑刺激定制中风后运动恢复的干预策略。
Curr Opin Neurol. 2017 Aug;30(4):388-397. doi: 10.1097/WCO.0000000000000462.
3
Synergistic but independent: The role of corticospinal and alternate motor fibers for residual motor output after stroke.
协同但独立:皮质脊髓束和替代运动纤维在中风后残余运动输出中的作用。
Neuroimage Clin. 2017 Apr 19;15:118-124. doi: 10.1016/j.nicl.2017.04.016. eCollection 2017.
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Decreased integration and information capacity in stroke measured by whole brain models of resting state activity.通过静息态活动的全脑模型测量的中风患者大脑整合能力和信息容量下降。
Brain. 2017 Apr 1;140(4):1068-1085. doi: 10.1093/brain/awx021.
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Disruptions of network connectivity predict impairment in multiple behavioral domains after stroke.网络连接中断预示着中风后多个行为领域的损伤。
Proc Natl Acad Sci U S A. 2016 Jul 26;113(30):E4367-76. doi: 10.1073/pnas.1521083113. Epub 2016 Jul 11.
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Dissociated functional connectivity profiles for motor and attention deficits in acute right-hemisphere stroke.急性右半球卒中运动和注意力缺陷的分离功能连接模式
Brain. 2016 Jul;139(Pt 7):2024-38. doi: 10.1093/brain/aww107. Epub 2016 May 25.
7
Conditional Granger Causality Analysis of Effective Connectivity during Motor Imagery and Motor Execution in Stroke Patients.中风患者运动想象和运动执行过程中有效连接性的条件格兰杰因果关系分析
Biomed Res Int. 2016;2016:3870863. doi: 10.1155/2016/3870863. Epub 2016 Apr 20.
8
Structural connectivity analyses in motor recovery research after stroke.结构性连接分析在中风后运动功能恢复研究中的应用。
Ann Clin Transl Neurol. 2016 Jan 19;3(3):233-44. doi: 10.1002/acn3.278. eCollection 2016 Mar.
9
Enhanced Effective Connectivity Between Primary Motor Cortex and Intraparietal Sulcus in Well-Recovered Stroke Patients.恢复良好的脑卒中患者初级运动皮层和顶内沟之间的增强有效连接。
Stroke. 2016 Feb;47(2):482-9. doi: 10.1161/STROKEAHA.115.011641. Epub 2016 Jan 7.
10
Cortico-Cerebellar Structural Connectivity Is Related to Residual Motor Output in Chronic Stroke.皮质-小脑结构连接与慢性卒中的残余运动输出相关。
Cereb Cortex. 2017 Jan 1;27(1):635-645. doi: 10.1093/cercor/bhv251.