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帕金森病僵硬:与脑连接和运动表现的关系。

Parkinson's disease rigidity: relation to brain connectivity and motor performance.

机构信息

Pacific Parkinson's Research Centre, University of British Columbia , Vancouver, BC , Canada.

出版信息

Front Neurol. 2013 Jun 5;4:67. doi: 10.3389/fneur.2013.00067. eCollection 2013.

Abstract

OBJECTIVE

(1) To determine the brain connectivity pattern associated with clinical rigidity scores in Parkinson's disease (PD) and (2) to determine the relation between clinically assessed rigidity and quantitative metrics of motor performance.

BACKGROUND

Rigidity, the resistance to passive movement, is exacerbated in PD by asking the subject to move the contralateral limb, implying that rigidity involves a distributed brain network. Rigidity mainly affects subjects when they attempt to move; yet the relation between clinical rigidity scores and quantitative aspects of motor performance are unknown.

METHODS

Ten clinically diagnosed PD patients (off-medication) and 10 controls were recruited to perform an fMRI squeeze-bulb tracking task that included both visually guided and internally guided features. The direct functional connectivity between anatomically defined regions of interest was assessed with Dynamic Bayesian Networks (DBNs). Tracking performance was assessed by fitting Linear Dynamical System (LDS) models to the motor performance, and was compared to the clinical rigidity scores. A cross-validated Least Absolute Shrinkage and Selection Operator (LASSO) regression method was used to determine the brain connectivity network that best predicted clinical rigidity scores.

RESULTS

The damping ratio of the LDS models significantly correlated with clinical rigidity scores (p = 0.014). An fMRI connectivity network in subcortical and primary and premotor cortical regions accurately predicted clinical rigidity scores (p < 10(-5)).

CONCLUSION

A widely distributed cortical/subcortical network is associated with rigidity observed in PD patients, which reinforces the importance of altered functional connectivity in the pathophysiology of PD. PD subjects with higher rigidity scores tend to have less overshoot in their tracking performance, and damping ratio may represent a robust, quantitative marker of the motoric effects of increasing rigidity.

摘要

目的

(1)确定与帕金森病(PD)临床僵硬评分相关的大脑连接模式,(2)确定临床评估的僵硬与运动表现的定量指标之间的关系。

背景

僵硬是对被动运动的抵抗力,当要求患者移动对侧肢体时,PD 中的僵硬会加剧,这意味着僵硬涉及到一个分布式的大脑网络。当患者试图移动时,僵硬主要会影响他们;然而,临床僵硬评分与运动表现的定量方面之间的关系尚不清楚。

方法

招募了 10 名临床诊断的 PD 患者(停药)和 10 名对照者进行 fMRI 挤压灯泡跟踪任务,该任务包括视觉引导和内部引导特征。使用动态贝叶斯网络(DBN)评估解剖定义的感兴趣区域之间的直接功能连接。通过将线性动力系统(LDS)模型拟合到运动表现中,来评估跟踪性能,并将其与临床僵硬评分进行比较。使用交叉验证的最小绝对收缩和选择算子(LASSO)回归方法来确定最能预测临床僵硬评分的大脑连接网络。

结果

LDS 模型的阻尼比与临床僵硬评分显著相关(p=0.014)。皮质下和初级及运动前皮质区域的 fMRI 连接网络准确地预测了临床僵硬评分(p<10(-5))。

结论

广泛分布的皮质/皮质下网络与 PD 患者中观察到的僵硬有关,这进一步证明了功能连接改变在 PD 病理生理学中的重要性。具有较高僵硬评分的 PD 患者在其跟踪性能中往往具有较小的过冲,而阻尼比可能是僵硬程度增加对运动影响的一个稳健的定量标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ec31/3672800/6cd233edede4/fneur-04-00067-g001.jpg

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