DEIS - Department of Electronics, Computer Science, and Systems, Università di Bologna, Italy.
Hum Mov Sci. 2011 Apr;30(2):249-61. doi: 10.1016/j.humov.2010.05.016. Epub 2010 Aug 30.
The control of postural sway depends on the dynamic integration of multi-sensory information in the central nervous system. Augmentation of sensory information, such as during auditory biofeedback (ABF) of the trunk acceleration, has been shown to improve postural control. By means of quantitative electroencephalography (EEG), we examined the basic processes in the brain that are involved in the perception and cognition of auditory signals used for ABF. ABF and Fake ABF (FAKE) auditory stimulations were delivered to 10 healthy naive participants during quiet standing postural tasks, with eyes-open and closed. Trunk acceleration and 19-channels EEG were recorded at the same time. Advanced, state-of-the-art EEG analysis and modeling methods were employed to assess the possibly differential, functional activation, and localization of EEG spectral features (power in α, β, and γ bands) between the FAKE and the ABF conditions, for both the eyes-open and the eyes-closed tasks. Participants gained advantage by ABF in reducing their postural sway, as measured by a reduction of the root mean square of trunk acceleration during the ABF compared to the FAKE condition. Population-wise localization analysis performed on the comparison FAKE - ABF revealed: (i) a significant decrease of α power in the right inferior parietal cortex for the eyes-open task; (ii) a significant increase of γ power in left temporo-parietal areas for the eyes-closed task; (iii) a significant increase of γ power in the left temporo-occipital areas in the eyes-open task. EEG outcomes supported the idea that ABF for postural control heavily modulates (increases) the cortical activation in healthy participants. The sites showing the higher ABF-related modulation are among the known cortical areas associated with multi-sensory, perceptual integration, and sensorimotor integration, showing a differential activation between the eyes-open and eyes-closed conditions.
姿势摆动的控制依赖于中枢神经系统对多感觉信息的动态整合。增强感觉信息,例如在躯干加速度的听觉生物反馈(ABF)期间,已被证明可以改善姿势控制。通过定量脑电图(EEG),我们研究了大脑中涉及用于 ABF 的听觉信号感知和认知的基本过程。在安静站立的姿势任务中,10 名健康的新手参与者在睁眼和闭眼状态下接受 ABF 和假 ABF(FAKE)听觉刺激。同时记录躯干加速度和 19 通道 EEG。采用先进的 EEG 分析和建模方法,评估在睁眼和闭眼任务中,FAKE 和 ABF 条件之间 EEG 频谱特征(α、β和γ频段的功率)的可能差异、功能激活和定位。与 FAKE 条件相比,ABF 可通过减少躯干加速度的均方根来帮助参与者减少姿势摆动,从而获得优势。在 FAKE-ABF 比较上进行的群体定位分析显示:(i)在睁眼任务中,右侧下顶叶皮层的α功率显著降低;(ii)在闭眼任务中,左颞顶区域的γ功率显著增加;(iii)在睁眼任务中,左颞枕区域的γ功率显著增加。EEG 结果支持这样的观点,即用于姿势控制的 ABF 强烈调节(增加)健康参与者的皮质激活。显示出更高的 ABF 相关调制的部位是与多感觉、知觉整合和感觉运动整合相关的已知皮质区域之一,在睁眼和闭眼条件之间显示出不同的激活。