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Interregional compensatory mechanisms of motor functioning in progressing preclinical neurodegeneration

机译:进行性临床前神经变性的运动功能的区域间补偿机制

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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.
机译:了解神经退行性疾病的临床前阶段的大脑储备,可以确定哪些神经区域尽管加速了神经元丢失也有助于正常功能。除了招募更多地区外,正常参与地区之间的重组和相关性转移是建议的关键机制。因此,网络分析方法对于研究这些候选大脑区域之间的直接因果相互作用的变化似乎至关重要。为了确定核心代偿区域,对15位携带导致亨廷顿氏病的基因突变的临床前患者和12位对照进行了fMRI扫描。他们完成了听觉节奏的手指序列敲击任务,该任务通过改变速度和动作的复杂性,挑战了认知功能以及运动功能的执行方面。为了研究大脑区域之间的因果相互作用,构建了一个动态因果模型(DCM),并将其与来自每个受试者的数据进行拟合。使用统计方法分析DCM参数以评估组之间的连通性差异,并在基因携带者中评估连通性模式与预测发作时间与临床发作之间的关系。皮层,随着接近估计的临床发作,越来越多的上壁皮层被激活。这种补偿机制仅限于以高认知需求为特征的复杂运动。此外,我们在两组受试者中都发现了任务诱发的连接性向着前,尾补充运动区的变化,这与更快或更复杂的工作条件有关。有趣的是,与基因突变携带者相比,对照中背运动前皮层和辅助运动区域的耦合更为阴性。此外,基因载体连通性模式的变化使人们可以预测估计疾病发作的年数。我们发现双侧背运动前皮层的连接对于补偿以及根据任务而招募的前,尾补充运动区至关重要。后者的发现很好地反映了以前发布的基于通用线性模型的相同数据分析。这种关于疾病特定区域间有效连通性的知识可能有助于基于经颅磁刺激确定干预的重点,经颅磁刺激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。

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