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老年人姿势波动与头皮 EEG 的频域调制:用于快速平衡调整的误差放大反馈。

Cross-frequency modulation of postural fluctuations and scalp EEG in older adults: error amplification feedback for rapid balance adjustments.

机构信息

Department of Physical Therapy, College of Medical Science and Technology, Chung Shan Medical University, Taichung City, Taiwan.

Physical Therapy Room, Chung Shan Medical University Hospital, Taichung City, Taiwan.

出版信息

Geroscience. 2024 Dec;46(6):5599-5613. doi: 10.1007/s11357-024-01258-1. Epub 2024 Jun 24.

Abstract

Virtual error amplification (VEA) in visual feedback enhances attentive control over postural stability, although the neural mechanisms are still debated. This study investigated the distinct cortical control of unsteady stance in older adults using VEA through cross-frequency modulation of postural fluctuations and scalp EEG. Thirty-seven community-dwelling older adults (68.1 ± 3.6 years) maintained an upright stance on a stabilometer while receiving either VEA or real error feedback. Along with postural fluctuation dynamics, phase-amplitude coupling (PAC) and amplitude-amplitude coupling (AAC) were analyzed for postural fluctuations under 2 Hz and EEG sub-bands (theta, alpha, and beta). The results revealed a higher mean frequency of the postural fluctuation phase (p = .005) and a greater root mean square of the postural fluctuation amplitude (p = .003) with VEA compared to the control condition. VEA also reduced PAC between the postural fluctuation phase and beta-band EEG in the left frontal (p = .009), sensorimotor (p = .002), and occipital (p = .018) areas. Conversely, VEA increased the AAC of posture fluctuation amplitude and beta-band EEG in FP2 (p = .027). Neither theta nor alpha band PAC or AAC were affected by VEA. VEA optimizes postural strategies in older adults during stabilometer stance by enhancing visuospatial attentive control of postural responses and facilitating the transition of motor states against postural perturbations through a disinhibitory process. Incorporating VEA into virtual reality technology is advocated as a valuable strategy for optimizing therapeutic interventions in postural therapy, particularly to mitigate the risk of falls among older adults.

摘要

虚拟误差放大(VEA)在视觉反馈中增强了对姿势稳定性的注意力控制,尽管神经机制仍存在争议。本研究通过姿势波动的交叉频率调制和头皮 EEG 研究了 VEA 在老年人不稳定站立中的不同皮质控制。37 名社区居住的老年人(68.1±3.6 岁)在稳定器上保持直立姿势,同时接受 VEA 或真实错误反馈。除了姿势波动动力学外,还分析了 2 Hz 以下和 EEG 子带(θ、α和β)中姿势波动的相位-振幅耦合(PAC)和振幅-振幅耦合(AAC)。结果表明,与对照条件相比,VEA 具有更高的姿势波动相位平均频率(p=.005)和更大的姿势波动幅度均方根(p=.003)。VEA 还降低了左侧额(p=.009)、感觉运动(p=.002)和枕(p=.018)区域的姿势波动相位与β带 EEG 之间的 PAC。相反,VEA 增加了 FP2 处姿势波动幅度和β带 EEG 的 AAC(p=.027)。VEA 并未影响θ或α带 PAC 或 AAC。VEA 通过增强对姿势反应的视觉空间注意力控制,并通过抑制过程促进运动状态对姿势扰动的转变,优化了老年人在稳定器站立时的姿势策略。将 VEA 纳入虚拟现实技术被认为是优化姿势治疗中治疗干预的有价值策略,特别是可以降低老年人跌倒的风险。

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