IEEE Trans Neural Syst Rehabil Eng. 2022;30:72-84. doi: 10.1109/TNSRE.2022.3140888. Epub 2022 Jan 28.
Postural control is a complex feedback system that relies on vast array of sensory inputs in order to maintain a stable upright stance. The brain cortex plays a crucial role in the processing of this information and in the elaboration of a successful adaptive strategy to external stimulation preventing loss of balance and falls. In the present work, the participants postural control system was challenged by disrupting the upright stance via a mechanical skeletal muscle vibration applied to the calves. The EEG source connectivity method was used to investigate the cortical response to the external stimulation and highlight the brain network primarily involved in high-level coordination of the postural control system. The cortical network reconfiguration was assessed during two experimental conditions of eyes open and eyes closed and the network flexibility (i.e. its dynamic reconfiguration over time) was correlated with the sample entropy of the stabilogram sway. The results highlight two different cortical strategies in the alpha band: the predominance of frontal lobe connections during open eyes and the strengthening of temporal-parietal network connections in the absence of visual cues. Furthermore, a high correlation emerges between the flexibility in the regions surrounding the right temporo-parietal junction and the sample entropy of the CoP sway, suggesting their centrality in the postural control system. These results open the possibility to employ network-based flexibility metrics as markers of a healthy postural control system, with implications in the diagnosis and treatment of postural impairing diseases.
姿势控制是一个复杂的反馈系统,依赖于大量的感觉输入,以维持稳定的直立姿势。大脑皮层在信息处理和制定成功的适应策略方面起着至关重要的作用,以应对外部刺激,防止失去平衡和摔倒。在本工作中,通过对小腿施加机械骨骼肌振动来破坏直立姿势,从而挑战参与者的姿势控制系统。使用 EEG 源连接方法来研究皮质对外部刺激的反应,并突出主要涉及姿势控制系统高级协调的大脑网络。在睁眼和闭眼两种实验条件下评估皮质网络的重新配置,并将网络灵活性(即随时间的动态重新配置)与稳定图晃动的样本熵相关联。结果突出了 alpha 波段中的两种不同皮质策略:在睁眼时额叶连接占主导地位,而在没有视觉提示时,颞顶网络连接增强。此外,在右颞顶联合周围区域的灵活性与 CoP 晃动的样本熵之间出现高度相关性,这表明它们在姿势控制系统中的核心地位。这些结果为使用基于网络的灵活性指标作为健康姿势控制系统的标志物提供了可能性,这对姿势障碍疾病的诊断和治疗具有重要意义。