Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Complutense and Universidad Politécnica de Madrid, Madrid, Spain; Institute of Neuroscience, Autonomous University of Barcelona (UAB), Barcelona, Spain.
Laboratory of Cognitive and Computational Neuroscience, Center for Biomedical Technology, Universidad Complutense and Universidad Politécnica de Madrid, Madrid, Spain; Faculty of Medicine and Health Sciences, Department of Nursing and Physiotherapy, Universidad de Alcalá, Madrid, Spain.
Clin Neurophysiol. 2022 Oct;142:190-198. doi: 10.1016/j.clinph.2022.08.007. Epub 2022 Aug 24.
The use of the electroencephalography (EEG) technique in Alzheimer's disease (AD) diagnosis is scarce due to a lack of validation of its neurophysiological information with current biomarkers. Therefore, our goal was to assess correlations between brain spectral power signatures and cerebrospinal fluid markers (CSF) such as amyloid-β 42 load (Aβ-42), total tau (t-tau), and phosphorylated tau (p-tau) in a mild cognitive impairment (MCI) population. Furthermore, given the AD sex-dependent vulnerability related to CSF biomarkers, we went a little forward looking for different electrophysiological correlations for males and females independently.
A data-driven approach was employed to determine bidimensional spectral power signatures (space-frequency) that correlated (Spearman) significantly with any of the three CSF markers in 27 patients with MCI in any of the two sex-dependent subsamples (i.e., 12 females and 15 males).
Our main significant outcomes evidenced 1) a negative correlation of Aβ-42 load with central-posterior theta power and a negative correlation of t-tau with widespread alpha power within the male subsample, and 2) a significant negative correlation between t-tau and widespread beta power in the female subgroup.
There is a distinctive profile of correlations between resting-state electrophysiological signatures and CSF markers in male and female individuals.
The combination of these two measures would be pointing out the need of a more personalized approach to promote early AD diagnosis.
由于缺乏对脑电图（EEG）技术的神经生理学信息与当前生物标志物的验证，因此在阿尔茨海默病（AD）诊断中很少使用该技术。因此，我们的目标是评估轻度认知障碍（MCI）人群中脑光谱功率特征与脑脊液标志物（CSF）（如β-淀粉样蛋白 42 负荷（Aβ-42）、总tau（t-tau）和磷酸化 tau（p-tau））之间的相关性。此外，鉴于 AD 与 CSF 生物标志物相关的性别依赖性脆弱性，我们前瞻性地寻找了男性和女性独立的不同电生理相关性。
采用数据驱动方法确定与任何三种 CSF 标志物在两性依赖性亚组（即 12 名女性和 15 名男性）中的任何一个中的任何一个 MCI 患者的二维光谱功率特征（空间频率）显著相关（Spearman）。
我们的主要重要结果表明，1）在男性亚组中，Aβ-42 负荷与中央后θ功率呈负相关，t-tau 与广泛的α功率呈负相关，2）在女性亚组中，t-tau 与广泛的β功率呈显著负相关。
在男性和女性个体中，静息状态电生理特征与 CSF 标志物之间存在独特的相关性模式。
这两种测量方法的结合将指出需要更个性化的方法来促进早期 AD 诊断。
