METHODS: Two sets of data were collected from each of 10 healthy adult male subjects in their 20s, and five HRV parameters from the time domain (RMSSD, pNN50, pNN30, pNN20, ppNNx) and two EEG parameters (power of alpha band, power of delta band) were extracted.
RESULTS: Based on pNN50, responders to taVNS were identified; among them, pNN50 (p = 0.0041) and ppNNx (p = 0.0037) showed significant differences before and after taVNS. At the same time, for alpha power and delta power of EEG, significant difference (p < 0.05) was observed in most channels after taVNS compared to before stimulation.
CONCLUSIONS: This study demonstrated the validity of identifying responders using pNN50 and the influence of taVNS on both the ANS and CNS. We conclude that taVNS can be used to treat a variety of diseases and as a tool to help control the ANS and CNS.
方法:从10名20多岁的健康成年男性受试者中收集两组数据,和来自时域的五个HRV参数(RMSSD,pNN50,pNN30,pNN20,ppNNx)和两个EEG参数(α波段的功率,提取δ波段的功率)。
结果:基于pNN50,确定了taVNS的应答者;其中,pNN50(p=0.0041)和ppNNx(p=0.0037)在taVNS前后表现出显著差异。同时,脑电图的α功率和δ功率,与刺激前相比,在taVNS后的大多数通道中观察到显著差异(p<0.05)。
结论:这项研究证明了使用pNN50识别应答者的有效性以及taVNS对ANS和CNS的影响。我们得出结论,taVNS可用于治疗多种疾病,并作为帮助控制ANS和CNS的工具。