Institute for Biomedical and Neural Engineering, Reykjavık University, Reykjavık, Iceland.
J Neural Eng. 2019 Apr;16(2):026037. doi: 10.1088/1741-2552/ab0678. Epub 2019 Feb 12.
Maintaining upright posture is a complex task governed by the integration of afferent sensorimotor and visual information with compensatory neuromuscular reactions. The objective of the present work was to characterize the visual dependency and functional dynamics of cortical activation during postural control.
Proprioceptic vibratory stimulation of calf muscles at 85 Hz was performed to evoke postural perturbation in open-eye (OE) and closed-eye (CE) experimental trials, with pseudorandom binary stimulation phases divided into four segments of 16 stimuli. 64-channel EEG was recorded at 512 Hz, with perturbation epochs defined using bipolar electrodes placed proximal to each vibrator. Power spectra variation and linearity analysis was performed via fast Fourier transformation into six frequency bands (Δ, 0.5-3.5 Hz; θ, 3.5-7.5 Hz; α, 7.5-12.5 Hz; β, 12.5-30 Hz; [Formula: see text], 30-50 Hz; and [Formula: see text], 50-80 Hz). Finally, functional connectivity assessment was explored via network segregation and integration analyses.
Spectra variation showed waveform and vision-dependent activation within cortical regions specific to both postural adaptation and habituation. Generalized spectral variation yielded significant shifts from low to high frequencies in CE adaptation trials, with overall activity suppressed in habituation; OE trials showed the opposite phenomenon, with both adaptation and habituation yielding increases in spectral power. Finally, our analysis of functional dynamics reveals novel cortical networks implicated in postural control using EEG source-space brain networks. In particular, our reported significant increase in local θ connectivity may signify the planning of corrective steps and/or the analysis of falling consequences, while α band network integration results reflect an inhibition of error detection within the cingulate cortex, likely due to habituation.
Our findings principally suggest that specific cortical waveforms are dependent upon the availability of visual feedback, and we furthermore present the first evidence that local and global brain networks undergo characteristic modification during postural control.
维持直立姿势是一项复杂的任务,它受传入感觉运动和视觉信息的整合以及补偿性神经肌肉反应的控制。本工作的目的是描述姿势控制过程中皮质激活的视觉依赖性和功能动力学特性。
对小腿肌肉进行 85 Hz 的本体感觉振动刺激,以在睁眼(OE)和闭眼(CE)实验试验中引起姿势扰动,伪随机二进制刺激阶段分为 16 个刺激的四个段。以每个振动器近端放置的双极电极定义扰动时段,以 512 Hz 记录 64 通道 EEG,通过快速傅里叶变换(FFT)将功率谱变化和线性分析分为六个频带(Δ,0.5-3.5 Hz;θ,3.5-7.5 Hz;α,7.5-12.5 Hz;β,12.5-30 Hz;[Formula: see text],30-50 Hz;和[Formula: see text],50-80 Hz)。最后,通过网络隔离和集成分析探索功能连接评估。
频谱变化显示出特定于姿势适应和习惯化的皮质区域的波形和视觉依赖性激活。广义频谱变化导致 CE 适应试验中从低频到高频的显著转移,整体活动在习惯化中受到抑制;OE 试验则表现出相反的现象,适应和习惯化都导致频谱功率增加。最后,我们对功能动力学的分析揭示了使用 EEG 源空间脑网络涉及姿势控制的新皮质网络。特别是,我们报告的局部θ连通性显著增加可能表明正在规划纠正步骤和/或分析跌倒后果,而α频段网络整合结果反映了扣带皮层中错误检测的抑制,这可能是由于习惯化。
我们的发现主要表明,特定的皮质波形依赖于视觉反馈的可用性,并且我们还首次证明了局部和全局脑网络在姿势控制过程中会发生特征性变化。