Connection Mechanism of Brain Functional Networks under Impact of Vision on Human Postural Control
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维普
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目的 研究视觉对人体姿势控制影响及其脑功能网络连接机制.方法 以15名健康青年为研究对象,要求受试者分别进行30 s睁眼、闭眼的双腿站立平衡,采集平衡过程中身体压力中心(center of pressure,COP)和脑电.对COP进行样本熵(SampleEn)计算;对脑电θ、α和β频段,计算相位滞后指数(phase lag index,PLI)构建大脑功能网络,并基于图论计算集聚系数(C)、特征路径长度(L)及小世界网络属性(σ).结果 人体在双腿站立平衡过程中,闭眼COPY样本熵显著高于睁眼(P<0.05).闭眼α频段PLI平均值显著高于睁眼(P<0.05);闭眼α频段C、σ显著高于睁眼,L显著低于睁眼(P<0.05).闭眼时α频段额区-中央区-顶区之间的网络连接以及中央区和顶区内连接强度显著高于睁眼(P<0.05).闭眼时α频段PLI平均值以及C值与COPY样本熵中度呈中度负相关(P<0.05).睁眼时左前额区、左顶区、左枕区α频段PLI平均值与COPv样本熵呈中度负相关;闭眼时左中央区、右枕区α频段PLI平均值则与COPY样本熵呈中度负相关.结论 人体在站立平衡时,当没有视觉信息输入时,身体平衡稳定性下降,同时伴随着脑电α频段的脑网络连接增强以及大脑处理信息的效率需提升.人体在不同的视觉条件下进行姿势控制时,大脑会采用不同的神经策略.
Objective To study the effects of vision on human postural control and the connection mechanisms of the brain's functional network.Methods 15 healthy male adults were required to perform 30 s of balanced standing on both legs with eyes open and eyes closed.The center of pressure(COP)and electroencephalograph(EEG)were recorded during balance.The sample entropy(sample En)of the COP was calculated.The phase lag index(PLI)in θ-,α-,β-band of EEG was calculated to construct the brain functional networks,and the clustering coefficient(C),characteristic path length(L),and the criteria(σ)of the small-world network were calculated based on graph theory.Results During balanced standing on both legs,the SampleEn of the COPY with eyes closed was significantly higher than that with eyes open(P<0.05).The mean value of PLI in the α-band under the eyes closed state was significantly higher than that under the eyes open state(P<0.05).The C and σ values in the α-band under the eyes closed state were significantly higher than those under the eyes open state,and the L value was significantly lower than that under the eyes open state(P<0.05).The frontal-central-parietal connectivity and the central-parietal connectivity strength in the α-band under the eyes closed state were significantly higher than those under the eyes open state(P<0.05).The average PLI and C values in the α-band were moderately negatively correlated with the SampleEn of COPY (P<0.05).The average PLI of the left prefrontal area,left parietal area,and left occipital area in the α-band under the eyes closed state had a moderate negative correlation with the SampleEn of COPY.The average PLI of the left central region and the right occipital area in the eyes-closed state was moderately negatively correlated with the SampleEn of COPY.Conclusions During the standing balance,when there is no visual input,the stability of body balance decreases,accompanied by enhanced brain network connectivity in α-band and the requirement for efficiency enhancement in information processing in the brain.The brain adopts different neural strategies when performing postural control under various visual conditions.