预测亚急性脑梗死后运动恢复:皮质-小脑通路完整性的作用。

Jing Liu, Yi Shan, Bi-Xiao Cui, Shao-Zhen Yan, Lin-Lin Ye, Lei Cao, Miao Zhang, Jie Lu
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引用次数: 0

摘要

小脑皮质已逐渐成为改善脑梗死后运动恢复的有希望的治疗靶点,可能依赖于运动相关皮质小脑通路(CCP)的结构完整性。然而,运动相关CCP的影像学指标与运动预后之间的关系尚未得到充分探讨。利用弥散张量成像(DTI),本研究旨在纵向评估运动相关CCP在预测脑梗死后上肢和下肢运动恢复中的作用。方法29例右脑中动脉(MCA)梗死患者在发病后7 ~ 14天和30天分别行2次DTI扫描,29例年龄性别匹配的对照组行1次扫描。测量皮质脊髓束(CST)和CCP(皮质桥小脑束,CPCT)的分数各向异性(FA)值;齿状丘脑皮质束;背脊髓小脑束(DSCT)。采用多元回归分析检验DTI参数与Fugl-Meyer评估(FMA)之间的关系。结果与对照组相比,CST、DTCT、DSCT患侧FA及FA不对称指数(FA- ai)均显著降低。在线性回归模型中,DTCT FA-AI降低是上肢FMA的强预测因子(R2adj = 0.271, P = 0.022), DSCT FA-AI独立预测下肢FMA (R2adj = 0.400, P = 0.019)。结论在MCA梗死患者中,运动相关CCP的FA-AI可作为预测运动预后的重要影像学指标。dti评估的小脑上行纤维束的结构完整性(DTCT和DSCT)可能分别与上肢和下肢的运动恢复相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Motor Recovery after Subacute Cerebral Infarction: Role of Corticocerebellar Pathway Integrity.

BackgroundThe cerebellar cortex has gradually become a promising therapeutic target for improving motor recovery post-cerebral infarction, potentially dependent on the structural integrity of motor-related corticocerebellar pathways (CCP). However, the relationship between the imaging markers of motor-related CCP and motor prognosis remains inadequately explored. Utilizing diffusion tensor imaging (DTI), this study aims to longitudinally assess the role of motor-related CCP in predicting motor recovery for both upper and lower extremities following cerebral infarction.MethodsTwenty-nine patients with right middle cerebral artery (MCA) infarction underwent 2 DTI scans 7 to 14 and 30 days after onset, and 29 age-sex matched controls received 1 scan. Fractional anisotropy (FA) values were measured for corticospinal tract (CST) and CCP (cortico-pontocerebellar tract, CPCT; dentate-thalamocortical tract, DTCT; dorsal-spinocerebellar tract, DSCT). Multivariate regression analyses were performed to examine the relationships between DTI parameters and Fugl-Meyer Assessment (FMA).ResultsCompared to the control group, FA and FA asymmetry index (FA-AI) of CST, DTCT, and DSCT on the affected side were significantly reduced. In the linear regression model, the decreased FA-AI of DTCT was a strong predictor for upper FMA (R2adj = 0.271, P = .022), while the FA-AI of DSCT independently predicted lower limb FMA (R2adj = 0.400, P = .019).ConclusionsIn patients of MCA infarction, FA-AI of motor-related CCP may be a valuable imaging indicator for predicting motor outcomes. The DTI-assessed structural integrity of the cerebellar ascending fiber tracts (DTCT and DSCT) may correlate with the motor recovery of the upper and lower extremities, respectively.

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