Institute of Biomedical and Neural Engineering, Reykjavik University, Reykjavik, Iceland.
Laboratory of Psychophysiology and Cognitive Neuroscience, Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy.
Physiol Meas. 2022 Nov 3;43(11). doi: 10.1088/1361-6579/ac9c43.
To define a new neurophysiological signature from electroencephalography (EEG) during a complex postural control task using the BioVRSea paradigm, consisting of virtual reality (VR) and a moving platform, mimicking the behavior of a boat on the sea.EEG (64 electrodes) data from 190 healthy subjects were acquired. The experiment is composed of 6 segments (Baseline, PRE, 25%, 50%, 75%, POST). The baseline lasts 60 s while standing on the motionless platform with a mountain view in the VR goggles. PRE and POST last 40 s while standing on the motionless platform with a sea simulation. The 3 other tasks last 40 s each, with the platform moving to adapt to the waves, and the subject holding a bar to maintain its balance. The power spectral density (PSD) difference for each task minus baseline has been computed for every electrode, for five frequency bands (delta, theta, alpha, beta, and low-gamma). Statistical significance has been computed.All the bands were significant for the whole cohort, for each task regarding baseline. Delta band shows a prefrontal PSD increase, theta a fronto-parietal decrease, alpha a global scalp power decrease, beta an increase in the occipital and temporal scalps and a decrease in other areas, and low-gamma a significant but slight increase in the parietal, occipital and temporal scalp areas.This study develops a neurophysiological reference during a complex postural control task. In particular, we found a strong localized activity associated with certain frequency bands during certain phases of the experiment. This is the first step towards a neurophysiological signature that can be used to identify pathological conditions lacking quantitative diagnostics assessment.
为了使用 BioVRSea 范式(由虚拟现实 (VR) 和移动平台组成,模拟海上船只的行为)从脑电 (EEG) 中定义新的神经生理特征,以用于复杂的姿势控制任务,我们对 190 名健康受试者的 EEG(64 个电极)数据进行了采集。实验由 6 个阶段组成(基线、预实验、25%、50%、75%、后实验)。基线持续 60 秒,受试者站在 VR 护目镜中的静止平台上,可欣赏到山景。预实验和后实验持续 40 秒,此时受试者站在静止的平台上,可看到海面的模拟场景。其余 3 个任务每个持续 40 秒,平台会移动以适应波浪,而受试者则握住一个横杆以保持平衡。为每个电极计算了每个任务减去基线后的功率谱密度 (PSD) 差异,计算了五个频带(δ、θ、α、β 和低γ)。计算了所有频带的统计显著性。对于整个队列,对于每个任务相对于基线,所有频带均具有统计学意义。δ 频段显示前额叶 PSD 增加,θ 频段显示额顶叶 PSD 减少,α 频段显示整个头皮的功率减少,β 频段显示枕颞区头皮的功率增加,其他区域的功率减少,低 γ 频段显示顶枕颞区头皮的 PSD 有显著但轻微的增加。本研究在复杂的姿势控制任务中开发了一种神经生理参考。特别是,我们在实验的某些阶段发现了与某些频带相关的强烈局部活动。这是朝着可以用于识别缺乏定量诊断评估的病理条件的神经生理特征迈出的第一步。