【摘要】：為了研究健康人在行走過程中大腦皮層與肌肉間的功能性關(guān)聯(lián),探究正走與倒走過程中該功能聯(lián)系是否存在差異,分別對10名健康被試進(jìn)行時長大于10 min的正走和倒走測試;基于格蘭杰因果性算法(GC)對測試過程中同步采集到的頭皮腦電(EEG)與表面肌電(EMG)信號進(jìn)行分析,進(jìn)一步定義不同節(jié)律下EEG和不同肌肉EMG的GC顯著性面積指標(biāo),用以定量描述皮層-肌肉間的功能性耦合關(guān)系和信息流向,并分析腦電功率譜與該功能性耦合關(guān)系的聯(lián)系。Wilcoxon非參數(shù)檢驗(yàn)的結(jié)果顯示,倒走過程中股直肌與脛骨前肌在EEG→EMG和EMG→EEG方向上alpha和beta節(jié)律的GC顯著性面積指標(biāo)較正走過程存在顯著下降(P0.05);線性回歸分析的結(jié)果顯示,正走和倒走中的EEG功率譜峰值與EEG→EMG方向的GC峰值存在線性相關(guān)性(P0.05)。實(shí)驗(yàn)說明,健康人步行時EEG和EMG間存在方向性耦合關(guān)系,并且腦電alpha和beta節(jié)律參與步行中的控制反饋過程,從而證明該研究方法可以刻畫大腦皮層與肌肉之間的同步特征與功能聯(lián)系。
[Abstract]:In order to study the functional relationship between cerebral cortex and muscle in healthy people during walking, and to explore whether there was a difference in the functional relationship between walking and backward walking, 10 healthy subjects were tested for forward walking and backward walking for more than 10 min. Based on Granger causality algorithm (GC), the (EMG) signals of scalp EEG (EEG) and surface electromyography collected synchronously during the test were analyzed. The GC significant area indexes of EEG and different muscle EMG under different rhythms were further defined to quantitatively describe the functional coupling relationship and information flow between cortex and muscle. The relationship between EEG power spectrum and functional coupling was analyzed. Wilcoxon nonparametric test showed that the GC significant area index of alpha and beta rhythm of rectus femoris and anterior tibia muscle in EEG 鈮，

本文編號：2503879