A Thalamic-Fronto-Parietal Structural Covariance Network Emerging in the Course of Recovery from Hand Paresis after Ischemic Stroke.
A Thalamic-Fronto-Parietal Structural Covariance Network Emerging in the Course of Recovery from Hand Paresis after Ischemic Stroke.
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DOI：
10.3389/fneur.2015.00211
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发表时间：
2015
影响因子：
3.4
通讯作者：
Weder BJ
中科院分区：
文献类型：
--
作者：
Abela E;Missimer JH;Federspiel A;Seiler A;Hess CW;Sturzenegger M;Wiest R;Weder BJ
目的描述28例首次脑卒中患者初级感觉运动皮质灰质体积（GMV）变化的结构协方差网络，并探讨其与手功能恢复和局部GMV变化的关系。基于张量的形态测量图来源于高分辨率的结构图像，通过主成分分析来识别网络。我们计算了网络表达与局部GMV变化、手部感觉运动功能和病变体积之间的相关性。为了验证GMV变化的结构协方差网络中哪些与手函数有显著关系，我们进行了额外的多元回归方法。第二个网络的表达，解释了9.1%的方差，与丘脑中背侧（md）和手部运动技能的GMV增加相关。阳性表达系数的患者在脑卒中恢复过程中该结构GMV显著升高。该网络的重要节点位于丘脑下部、背外侧前额叶皮层和高阶感觉运动皮层。手功能参数与网络有独特的关系，依赖于网络表达与病变体积之间的相互作用。相反，网络表达在病变体积较大的患者中受到限制。感觉运动脑皮层卒中的慢性期以同侧脑半球的大规模共变结构网络为特征，该网络与感觉运动手技能特别相关。它的表达与神经网络的一个组成部分丘脑GMV的增加有关，并与控制运动执行和高阶感觉运动皮层的皮质-纹状体-丘脑回路相关。该网络的表达与恢复程度之间的密切关系可能表明受损亚组代偿资源减少。
To describe structural covariance networks of gray matter volume (GMV) change in 28 patients with first-ever stroke to the primary sensorimotor cortices, and to investigate their relationship to hand function recovery and local GMV change. Tensor-based morphometry maps derived from high-resolution structural images were subject to principal component analyses to identify the networks. We calculated correlations between network expression and local GMV change, sensorimotor hand function and lesion volume. To verify which of the structural covariance networks of GMV change have a significant relationship to hand function, we performed an additional multivariate regression approach. Expression of the second network, explaining 9.1% of variance, correlated with GMV increase in the medio-dorsal (md) thalamus and hand motor skill. Patients with positive expression coefficients were distinguished by significantly higher GMV increase of this structure during stroke recovery. Significant nodes of this network were located in md thalamus, dorsolateral prefrontal cortex, and higher order sensorimotor cortices. Parameter of hand function had a unique relationship to the network and depended on an interaction between network expression and lesion volume. Inversely, network expression is limited in patients with large lesion volumes. Chronic phase of sensorimotor cortical stroke has been characterized by a large scale co-varying structural network in the ipsilesional hemisphere associated specifically with sensorimotor hand skill. Its expression is related to GMV increase of md thalamus, one constituent of the network, and correlated with the cortico-striato-thalamic loop involved in control of motor execution and higher order sensorimotor cortices. A close relation between expression of this network with degree of recovery might indicate reduced compensatory resources in the impaired subgroup.