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Functional potential in chronic stroke patients depends on corticospinal tract integrity

磁刺激 皮质脊髓束 冲程(发动机) 部分各向异性 磁共振弥散成像 物理医学与康复 脑功能偏侧化 康复 医学 磁共振成像 慢性中风 上肢 中风恢复 心理学 物理疗法 神经科学 刺激 放射科 机械工程 工程类
作者
Cathy M. Stinear,P. Alan Barber,Peter Smale,James P. Coxon,Melanie K. Fleming,Winston D. Byblow
出处
期刊:Brain [Oxford University Press]
卷期号:130 (1): 170-180 被引量:882
标识
DOI:10.1093/brain/awl333
摘要

Determining whether a person with stroke has reached their full potential for recovery is difficult. While techniques such as transcranial magnetic stimulation (TMS) and MRI have some prognostic value, their role in rehabilitation is undefined. This study used TMS and MRI to determine which factors predict functional potential, defined as an individual's capacity for further functional improvement at least 6 months following stroke. We studied 21 chronic stroke patients with upper limb impairment. The functional integrity of the corticospinal tracts (CSTs) was assessed using TMS and functional MRI. The presence or absence of motor-evoked responses (MEPs) to TMS in the affected upper limb, and the lateralization of cortical activity during affected hand use were determined. The structural integrity of the CST was assessed using MRI, and diffusion tensor imaging was used to measure the asymmetry in fractional anisotropy (FA) of the internal capsules. A multiple linear regression analysis was performed, to predict both clinical score at inception and change in clinical score for 17 patients who completed a 30 day programme of motor practice with the affected upper limb. The main findings were that in patients with MEPs, meaningful gains were still possible 3 years after stroke, although the capacity for improvement declined with time. In patients without MEPs, functional potential declines with increasing CST disruption, with no meaningful gains possible if FA asymmetry exceeds a value of 0.25. This study is the first to demonstrate the complementary nature of TMS and MRI techniques in predicting functional potential in chronic stroke patients. An algorithm is proposed for the selection of individualized rehabilitation strategies, based on the prediction of functional potential. These strategies could include neuromodulation using a range of emerging techniques, to prime the motor system for a plastic response to rehabilitation.
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