Ruiz-Gomez Saul J, Gomez Carlos, Poza Jesus, Revilla-Vallejo Marcos, Gutierrez-de-Pablo Victor, Rodriguez-Gonzalez Victor, Maturana-Candelas Aaron, Hornero Roberto
Annu Int Conf IEEE Eng Med Biol Soc. 2020 Jul;2020:30-33. doi: 10.1109/EMBC44109.2020.9176398.
This study had two main objectives: (i) to study the effects of volume conduction on different connectivity metrics (Amplitude Envelope Correlation AEC, Phase Lag Index PLI, and Magnitude Squared Coherence MSCOH), comparing the coupling patterns at electrode- and sensor-level; and (ii) to characterize spontaneous EEG activity during different stages of Alzheimer's disease (AD) continuum by means of three complementary network parameters: node degree (k), characteristic path length (L), and clustering coefficient (C). Our results revealed that PLI and AEC are weakly influenced by volume conduction compared to MSCOH, but they are not immune to it. Furthermore, network parameters obtained from PLI showed that AD continuum is characterized by an increase in L and C in low frequency bands, suggesting lower integration and higher segregation as the disease progresses. These network changes reflect the abnormalities during AD continuum and are mainly due to neuronal alterations, because PLI is slightly affected by volume conduction effects.
（i）研究容积传导对不同连接性指标（幅度包络相关性AEC、相位滞后指数PLI和幅度平方相干性MSCOH）的影响，比较电极水平和传感器水平的耦合模式；（ii）通过三个互补的网络参数：节点度（k）、特征路径长度（L）和聚类系数（C），表征阿尔茨海默病（AD）连续体不同阶段的自发脑电图活动。我们的结果表明，与MSCOH相比，PLI和AEC受容积传导的影响较弱，但并非不受其影响。此外，从PLI获得的网络参数表明，AD连续体的特征是低频带中L和C增加，这表明随着疾病进展，整合性降低，分离性增加。这些网络变化反映了AD连续体期间的异常情况，主要是由于神经元改变，因为PLI受容积传导效应的影响较小。
