National Center for Neurological Diseases, Beijing Tiantan Hospital, Beijing, China.
Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China.
J Cereb Blood Flow Metab. 2024 Nov;44(11):1302-1315. doi: 10.1177/0271678X241254677. Epub 2024 May 15.
Electroencephalogram (EEG) alpha-band oscillations may reflect executive and processing function in patients with cerebral small vessel disease (CSVD). We aimed to assess such association and its relationship with CSVD severity, and to identify specific alpha-band parameters and the cut-off values for cognitive screening. We analysed the dispersion of amplitude-frequency characteristics of EEG alpha-band and different alpha-band parameters (PFα , ΔPFα , PPα , NCL) in different brain locations. We also assessed patients' executive and processing functions using verbal fluency test (VFT) and color trails test (CTT), and CSVD severity using total burden and Fazekas scores. 129 patients were recruited in the study. After adjusting for age, gender and education, PFα(F3), PFα(F4) and NCL were significantly associated with VFT-composite performance (0.05). CTT-1 time and error were associated with PFα(F3), PFα(F4), ΔPFα(O1;F3) and CSVD severity (0.05), whereas CTT-2 time was only associated with CSVD severity. Moreover, the correlations between alpha-band oscillations and cognitive function were higher in low than in high disease-severity group (ρ: -0.58 vs. -0.38, 0.05). The AUC of selected alpha-band parameters were higher than 0.8 for VFT and CTT. Specific alpha-band parameters in the frontal lobe were identified to correspond to executive and processing function. Assessing EEG alpha-band oscillations may assist in screening cognitive impairment.
脑电图(EEG)α 波段振荡可能反映脑小血管病(CSVD)患者的执行和处理功能。我们旨在评估这种关联及其与 CSVD 严重程度的关系,并确定特定的α波段参数和认知筛查的截止值。我们分析了 EEG α 波段幅度-频率特征的分散性和不同脑区的不同α 波段参数(PFα、ΔPFα、PPα、NCL)。我们还使用词语流畅性测试(VFT)和颜色轨迹测试(CTT)评估患者的执行和处理功能,使用总负荷和 Fazekas 评分评估 CSVD 严重程度。研究共纳入 129 例患者。在校正年龄、性别和教育程度后,PFα(F3)、PFα(F4)和 NCL 与 VFT 综合表现显著相关(0.05)。CTT-1 时间和错误与 PFα(F3)、PFα(F4)、ΔPFα(O1;F3)和 CSVD 严重程度相关(0.05),而 CTT-2 时间仅与 CSVD 严重程度相关。此外,α 波段振荡与认知功能之间的相关性在低疾病严重程度组中高于高疾病严重程度组(ρ:-0.58 与-0.38,0.05)。选定的α波段参数的 AUC 对 VFT 和 CTT 均高于 0.8。额叶中特定的α波段参数与执行和处理功能相对应。评估 EEGα波段振荡可能有助于筛选认知障碍。