Ahn Min-Hee, Park Jeong Hye, Jeon Hanjae, Lee Hyo-Jeong, Kim Hyung-Jong, Hong Sung Kwang
Department of Otorhinolaryngology-Head and Neck Surgery, Hallym University College of Medicine, Anyang, South Korea.
Laboratory of Brain & Cognitive Sciences for Convergence Medicine, Hallym University College of Medicine, Anyang, South Korea.
Front Neurosci. 2020 Nov 19;14:600839. doi: 10.3389/fnins.2020.600839. eCollection 2020.
Even though reciprocal inhibitory vestibular interactions following visual stimulation have been understood as sensory-reweighting mechanisms to stabilize motion perception; this hypothesis has not been thoroughly investigated with temporal dynamic measurements. Recently, virtual reality technology has been implemented in different medical domains. However, exposure in virtual reality environments can cause discomfort, including nausea or headache, due to visual-vestibular conflicts. We speculated that self-motion perception could be altered by accelerative visual motion stimulation in the virtual reality situation because of the absence of vestibular signals (visual-vestibular sensory conflict), which could result in the sickness. The current study investigated spatio-temporal profiles for motion perception using immersive virtual reality. We demonstrated alterations in neural dynamics under the sensory mismatch condition (accelerative visual motion stimulation) and in participants with high levels of sickness after driving simulation. Additionally, an event-related potentials study revealed that the high-sickness group presented with higher P3 amplitudes in sensory mismatch conditions, suggesting that it would be a substantial demand of cognitive resources for motion perception on sensory mismatch conditions.
尽管视觉刺激后相互抑制的前庭相互作用被理解为稳定运动感知的感觉重加权机制;但这一假设尚未通过时间动态测量进行彻底研究。最近,虚拟现实技术已在不同医学领域得到应用。然而,由于视觉-前庭冲突,暴露于虚拟现实环境中会导致不适,包括恶心或头痛。我们推测,在虚拟现实情境中,由于缺乏前庭信号(视觉-前庭感觉冲突),加速视觉运动刺激可能会改变自我运动感知,进而导致不适。本研究使用沉浸式虚拟现实研究了运动感知的时空特征。我们证明了在感觉不匹配条件下(加速视觉运动刺激)以及驾驶模拟后不适程度较高的参与者中神经动力学的改变。此外,一项事件相关电位研究表明,高不适组在感觉不匹配条件下呈现出更高的P3波幅,这表明在感觉不匹配条件下进行运动感知需要大量认知资源。