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静息态脑电图定向功能连接揭示亚急性中风患者康复后运动网络组织的变化。

Resting State EEG Directed Functional Connectivity Unveils Changes in Motor Network Organization in Subacute Stroke Patients After Rehabilitation.

作者信息

Pirovano Ileana, Mastropietro Alfonso, Antonacci Yuri, Barà Chiara, Guanziroli Eleonora, Molteni Franco, Faes Luca, Rizzo Giovanna

机构信息

Istituto di Tecnologie Biomediche, Consiglio Nazionale delle Ricerche, Segrate, Italy.

Dipartimento di Ingegneria, Università di Palermo, Palermo, Italy.

出版信息

Front Physiol. 2022 Apr 5;13:862207. doi: 10.3389/fphys.2022.862207. eCollection 2022.

Abstract

Brain plasticity and functional reorganization are mechanisms behind functional motor recovery of patients after an ischemic stroke. The study of resting-state motor network functional connectivity by means of EEG proved to be useful in investigating changes occurring in the information flow and find correlation with motor function recovery. In the literature, most studies applying EEG to post-stroke patients investigated the undirected functional connectivity of interacting brain regions. Quite recently, works started to investigate the directionality of the connections and many approaches or features have been proposed, each of them being more suitable to describe different aspects, e.g., direct or indirect information flow between network nodes, the coupling strength or its characteristic oscillation frequency. Each work chose one specific measure, despite in literature there is not an agreed consensus, and the selection of the most appropriate measure is still an open issue. In an attempt to shed light on this methodological aspect, we propose here to combine the information of direct and indirect coupling provided by two frequency-domain measures based on Granger's causality, i.e., the directed coherence (DC) and the generalized partial directed coherence (gPDC), to investigate the longitudinal changes of resting-state directed connectivity associated with sensorimotor rhythms α and β, occurring in 18 sub-acute ischemic stroke patients who followed a rehabilitation treatment. Our results showed a relevant role of the information flow through the pre-motor regions in the reorganization of the motor network after the rehabilitation in the sub-acute stage. In particular, DC highlighted an increase in intra-hemispheric coupling strength between pre-motor and primary motor areas, especially in ipsi-lesional hemisphere in both α and β frequency bands, whereas gPDC was more sensitive in the detection of those connection whose variation was mostly represented within the population. A decreased causal flow from contra-lesional premotor cortex towards supplementary motor area was detected in both α and β frequency bands and a significant reinforced inter-hemispheric connection from ipsi to contra-lesional pre-motor cortex was observed in β frequency. Interestingly, the connection from contra towards ipsilesional pre-motor area correlated with upper limb motor recovery in α band. The usage of two different measures of directed connectivity allowed a better comprehension of those coupling changes between brain motor regions, either direct or mediated, which mostly were influenced by the rehabilitation, revealing a particular involvement of the pre-motor areas in the cerebral functional reorganization.

摘要

脑可塑性和功能重组是缺血性中风后患者运动功能恢复背后的机制。通过脑电图研究静息态运动网络功能连接被证明有助于研究信息流中发生的变化,并发现与运动功能恢复的相关性。在文献中,大多数将脑电图应用于中风后患者的研究都调查了相互作用的脑区之间的无向功能连接。最近,研究开始调查连接的方向性,并提出了许多方法或特征,每种方法或特征都更适合描述不同的方面,例如网络节点之间的直接或间接信息流、耦合强度或其特征振荡频率。尽管文献中没有达成共识,但每项研究都选择了一种特定的测量方法,选择最合适的测量方法仍然是一个悬而未决的问题。为了阐明这一方法学方面的问题,我们在此建议结合基于格兰杰因果关系的两种频域测量方法(即直接相干性(DC)和广义部分直接相干性(gPDC))提供的直接和间接耦合信息,以研究18例接受康复治疗的亚急性缺血性中风患者静息态定向连接性与感觉运动节律α和β相关的纵向变化。我们的结果表明,在亚急性期康复后,通过运动前区的信息流在运动网络重组中发挥了重要作用。特别是,DC突出显示了运动前区和初级运动区之间半球内耦合强度的增加,尤其是在α和β频段的患侧半球,而gPDC在检测那些变化主要在人群中体现的连接方面更敏感。在α和β频段均检测到从健侧运动前皮质向辅助运动区的因果流减少,并且在β频段观察到从患侧到健侧运动前皮质的半球间连接显著增强。有趣的是,在α频段,从健侧到患侧运动前区的连接与上肢运动恢复相关。使用两种不同的定向连接测量方法可以更好地理解脑运动区域之间直接或介导的耦合变化,这些变化大多受康复影响,揭示了运动前区在脑功能重组中的特殊参与。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b623/9016279/9ab14284a170/fphys-13-862207-g001.jpg

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