UNASSIGNED: Based on resting-state electroencephalograms (EEG), both power spectral density (PSD) and brain network analysis were performed to disclose the persistent distortions of brain rhythms in these patients. Potential biomarkers were then established to distinguish convalescent patients from healthy controls.
UNASSIGNED: Oppositely configured spatial patterns in PSD and network architecture within specific rhythms were identified, as the hyperactivated PSD spanning the middle and posterior regions obstructs the inter-regional information interactions in patients and thereby leads to attenuated frontoparietal and frontotemporal connectivity. Additionally, the EEG indexes within delta and theta rhythms were further clarified to be objective biomarkers that facilitated the noninvasive recognition of convalescent anti-NMDARE patients from healthy populations.
UNASSIGNED: Current findings contributed to understanding the persistent and residual pathological states in convalescent anti-NMDARE patients, as well as informing clinical decisions of prognosis evaluation.
■基于静息状态脑电图(EEG),我们进行了功率谱密度(PSD)和脑网络分析,以揭示这些患者脑节律的持续性畸变.然后建立潜在的生物标志物以区分康复患者与健康对照。
■确定了PSD和特定节奏内的网络结构中相反配置的空间模式,因为跨越中部和后部区域的超激活PSD阻碍了患者的区域间信息交互,从而导致额顶部和额颞部连通性减弱。此外,δ和θ节律范围内的EEG指标被进一步阐明为客观生物标志物,有助于非侵入性识别健康人群中的恢复期抗NMDARE患者.
■目前的发现有助于理解恢复期抗NMDARE患者的持续和残留病理状态,以及告知预后评估的临床决策。