视觉运动相关功能连接网络的动态重构
Dynamic Reconfiguration of Visuomotor-Related Functional Connectivity Networks.
作者信息
Brovelli Andrea, Badier Jean-Michel, Bonini Francesca, Bartolomei Fabrice, Coulon Olivier, Auzias Guillaume
机构信息
Institut de Neurosciences de la Timone, Unité Mixte de Recherche 7289, Aix Marseille Université, Centre National de la Recherche Scientifique, 13385 Marseille, France;
Aix Marseille Université, Institut de Neurosciences des Systèmes Unité Mixte de Recherche Scientifique 1106, 13005 Marseille, France.
出版信息
J Neurosci. 2017 Jan 25;37(4):839-853. doi: 10.1523/JNEUROSCI.1672-16.2016.
UNLABELLED
Cognitive functions arise from the coordination of large-scale brain networks. However, the principles governing interareal functional connectivity dynamics (FCD) remain elusive. Here, we tested the hypothesis that human executive functions arise from the dynamic interplay of multiple networks. To do so, we investigated FCD mediating a key executing function, known as arbitrary visuomotor mapping, using brain connectivity analyses of high-gamma activity recorded using MEG and intracranial EEG. Visuomotor mapping was found to arise from the dynamic interplay of three partly overlapping cortico-cortical and cortico-subcortical functional connectivity (FC) networks. First, visual and parietal regions coordinated with sensorimotor and premotor areas. Second, the dorsal frontoparietal circuit together with the sensorimotor and associative frontostriatal networks took the lead. Finally, cortico-cortical interhemispheric coordination among bilateral sensorimotor regions coupled with the left frontoparietal network and visual areas. We suggest that these networks reflect the processing of visual information, the emergence of visuomotor plans, and the processing of somatosensory reafference or action's outcomes, respectively. We thus demonstrated that visuomotor integration resides in the dynamic reconfiguration of multiple cortico-cortical and cortico-subcortical FC networks. More generally, we showed that visuomotor-related FC is nonstationary and displays switching dynamics and areal flexibility over timescales relevant for task performance. In addition, visuomotor-related FC is characterized by sparse connectivity with density <10%. To conclude, our results elucidate the relation between dynamic network reconfiguration and executive functions over short timescales and provide a candidate entry point toward a better understanding of cognitive architectures.
SIGNIFICANCE STATEMENT
Executive functions are supported by the dynamic coordination of neural activity over large-scale networks. The properties of large-scale brain coordination processes, however, remain unclear. Using tools combining MEG and intracranial EEG with brain connectivity analyses, we provide evidence that visuomotor behaviors, a hallmark of executive functions, are mediated by the interplay of multiple and spatially overlapping subnetworks. These subnetworks span visuomotor-related areas, the cortico-cortical and cortico-subcortical interactions of which evolve rapidly and reconfigure over timescales relevant for behavior. Visuomotor-related functional connectivity dynamics are characterized by sparse connections, nonstationarity, switching dynamics, and areal flexibility. We suggest that these properties represent key aspects of large-scale functional networks and cognitive architectures.
未标注
认知功能源于大规模脑网络的协调。然而,支配区域间功能连接动力学(FCD)的原理仍不清楚。在此,我们检验了人类执行功能源于多个网络动态相互作用的假设。为此,我们使用脑磁图(MEG)和颅内脑电图记录的高伽马活动进行脑连接分析,研究介导一种关键执行功能(即任意视觉运动映射)的FCD。发现视觉运动映射源于三个部分重叠的皮质 - 皮质和皮质 - 皮质下功能连接(FC)网络的动态相互作用。首先,视觉和顶叶区域与感觉运动和运动前区协调。其次,背侧额顶叶回路与感觉运动和联合额纹状体网络起主导作用。最后,双侧感觉运动区域之间的皮质 - 皮质半球间协调与左额顶叶网络和视觉区域相耦合。我们认为这些网络分别反映了视觉信息的处理、视觉运动计划的出现以及体感再传入或动作结果的处理。因此,我们证明了视觉运动整合存在于多个皮质 - 皮质和皮质 - 皮质下FC网络的动态重构中。更一般地说,我们表明与视觉运动相关的FC是非平稳的,并且在与任务执行相关的时间尺度上显示出切换动力学和区域灵活性。此外,与视觉运动相关的FC的特征是连接稀疏,密度<10%。总之,我们的结果阐明了短时间尺度上动态网络重构与执行功能之间的关系,并为更好地理解认知结构提供了一个候选切入点。
意义声明
执行功能由大规模网络上神经活动的动态协调支持。然而,大规模脑协调过程的特性仍不清楚。使用结合MEG和颅内脑电图与脑连接分析的工具,我们提供证据表明,作为执行功能标志的视觉运动行为是由多个空间重叠子网的相互作用介导的。这些子网跨越与视觉运动相关的区域,其皮质 - 皮质和皮质 - 皮质下相互作用在与行为相关的时间尺度上迅速演变并重新配置。与视觉运动相关的功能连接动力学的特征是连接稀疏、非平稳性、切换动力学和区域灵活性。我们认为这些特性代表了大规模功能网络和认知结构的关键方面。
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