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进展性临床前期神经退行性变中运动功能的区域间补偿机制。

Interregional compensatory mechanisms of motor functioning in progressing preclinical neurodegeneration.

机构信息

Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Hauptstrasse 5, 79104 Freiburg, Germany; Freiburg Brain Imaging Center, University Medical Center, University of Freiburg, Breisacher Str. 64, 79106 Freiburg, Germany; Department of Psychology, Laboratory for Biological and Personality Psychology, University of Freiburg, Stefan-Meier-Str. 8, D-79104 Freiburg, Germany.

Department of Psychiatry and Psychotherapy, University Medical Center Freiburg, Hauptstrasse 5, 79104 Freiburg, Germany; Freiburg Brain Imaging Center, University Medical Center, University of Freiburg, Breisacher Str. 64, 79106 Freiburg, Germany; Department of Computer Science, University of Freiburg, Georges-Koehler-Allee, 79110 Freiburg, Germany.

出版信息

Neuroimage. 2013 Jul 15;75:146-154. doi: 10.1016/j.neuroimage.2013.02.058. Epub 2013 Mar 14.

Abstract

Understanding brain reserve in preclinical stages of neurodegenerative disorders allows determination of which brain regions contribute to normal functioning despite accelerated neuronal loss. Besides the recruitment of additional regions, a reorganisation and shift of relevance between normally engaged regions are a suggested key mechanism. Thus, network analysis methods seem critical for investigation of changes in directed causal interactions between such candidate brain regions. To identify core compensatory regions, fifteen preclinical patients carrying the genetic mutation leading to Huntington's disease and twelve controls underwent fMRI scanning. They accomplished an auditory paced finger sequence tapping task, which challenged cognitive as well as executive aspects of motor functioning by varying speed and complexity of movements. To investigate causal interactions among brain regions a single Dynamic Causal Model (DCM) was constructed and fitted to the data from each subject. The DCM parameters were analysed using statistical methods to assess group differences in connectivity, and the relationship between connectivity patterns and predicted years to clinical onset was assessed in gene carriers. In preclinical patients, we found indications for neural reserve mechanisms predominantly driven by bilateral dorsal premotor cortex, which increasingly activated superior parietal cortices the closer individuals were to estimated clinical onset. This compensatory mechanism was restricted to complex movements characterised by high cognitive demand. Additionally, we identified task-induced connectivity changes in both groups of subjects towards pre- and caudal supplementary motor areas, which were linked to either faster or more complex task conditions. Interestingly, coupling of dorsal premotor cortex and supplementary motor area was more negative in controls compared to gene mutation carriers. Furthermore, changes in the connectivity pattern of gene carriers allowed prediction of the years to estimated disease onset in individuals. Our study characterises the connectivity pattern of core cortical regions maintaining motor function in relation to varying task demand. We identified connections of bilateral dorsal premotor cortex as critical for compensation as well as task-dependent recruitment of pre- and caudal supplementary motor area. The latter finding nicely mirrors a previously published general linear model-based analysis of the same data. Such knowledge about disease specific inter-regional effective connectivity may help identify foci for interventions based on transcranial magnetic stimulation designed to stimulate functioning and also to predict their impact on other regions in motor-associated networks.

摘要

理解神经退行性疾病的临床前阶段的大脑储备,可以确定哪些大脑区域有助于正常功能,尽管神经元加速丢失。除了招募更多的区域外,通常参与的区域之间的重新组织和相关性的转移是一个建议的关键机制。因此,网络分析方法似乎对于研究这些候选大脑区域之间的有向因果相互作用的变化至关重要。为了确定核心代偿区域,十五名携带导致亨廷顿病的基因突变的临床前患者和十二名对照者接受了 fMRI 扫描。他们完成了听觉节拍手指序列敲击任务,通过改变运动的速度和复杂性来挑战认知和执行运动功能的各个方面。为了研究大脑区域之间的因果相互作用,构建了一个单一的动态因果模型(DCM),并将其拟合到每个受试者的数据中。使用统计方法分析 DCM 参数,以评估连接组间的差异,并评估携带基因的个体中连接模式与预测临床发病时间之间的关系。在临床前患者中,我们发现了神经储备机制的迹象,这些机制主要由双侧背侧运动前皮质驱动,随着个体接近估计的临床发病时间,它们越来越多地激活了上顶叶皮质。这种代偿机制仅限于具有高认知需求的复杂运动。此外,我们在两组受试者中都发现了与前和后辅助运动区的任务诱导连接变化,这些变化与更快或更复杂的任务条件有关。有趣的是,与对照组相比,携带基因突变的个体中背侧运动前皮质和辅助运动区的耦合更为消极。此外,携带基因突变的个体的连接模式变化允许预测个体估计的疾病发病时间。我们的研究描述了与变化的任务需求相关的维持运动功能的核心皮质区域的连接模式。我们确定了双侧背侧运动前皮质的连接作为补偿以及对前和后辅助运动区的任务依赖性招募的关键。后一发现很好地反映了对相同数据进行的先前发表的基于广义线性模型的分析。关于疾病特异性区域间有效连接的这种知识可能有助于确定基于经颅磁刺激的干预措施的焦点,旨在刺激功能,并预测其对运动相关网络中其他区域的影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/390b/3899022/8ed9896c579e/gr1.jpg

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