Chu Linh Ha, Chau Chi Que, Kamel Nidal, Thanh Huong Ha Thi, Yahya Norashikin
College of Engineering and Computer Science, Center of Environmental Intelligence (CEI), Vin University, Hanoi, Vietnam.
Department of Tissue Engineering and Regenerative Medicine, School of Biomedical Engineering, International University, Vietnam National University, Ho Chi Minh City, Vietnam.
Front Psychiatry. 2024 Oct 22;15:1461290. doi: 10.3389/fpsyt.2024.1461290. eCollection 2024.
Social anxiety disorder (SAD) is a prevalent psychiatric condition characterized by an intense fear of and avoidance of social situations. Traditional assessment methods for SAD primarily rely on subjective self-report questionnaires and clinical interviews, which can be prone to biases and inaccuracies. This study aims to explore the functional excitation-inhibition (fEI) ratio derived from EEG data as a potential objective biomarker for assessing SAD severity.
Resting-state EEG data were collected from 20 control subjects and 60 individuals with varying degrees of SAD severity (mild, moderate, and severe). The fEI ratio was estimated across different EEG bands and analyzed, focusing on differences between control subjects and SAD groups.
Significantly higher fEI ratios were observed in the alpha and low beta EEG bands in individuals with SAD compared to controls, especially within the prefrontal cortex. Additionally, a positive correlation was found between the fEI ratio and the severity of social anxiety symptoms across SAD severity levels.
The findings indicate that the fEI ratio in the alpha and low beta bands may serve as a promising biomarker for assessing SAD severity. These results contribute to a deeper understanding of the neural mechanisms underlying social anxiety, offering a potentially more objective approach to SAD assessment compared to traditional methods.
社交焦虑障碍(SAD)是一种常见的精神疾病,其特征是对社交场合存在强烈恐惧并回避。SAD的传统评估方法主要依赖主观的自我报告问卷和临床访谈,这些方法可能容易出现偏差和不准确。本研究旨在探索从脑电图(EEG)数据得出的功能兴奋-抑制(fEI)比率,作为评估SAD严重程度的潜在客观生物标志物。
从20名对照受试者和60名不同程度SAD严重程度(轻度、中度和重度)的个体收集静息状态EEG数据。在不同的EEG频段估计并分析fEI比率,重点关注对照受试者和SAD组之间的差异。
与对照组相比,SAD个体在α和低βEEG频段中观察到显著更高的fEI比率,尤其是在前额叶皮层内。此外,在SAD严重程度水平上,fEI比率与社交焦虑症状的严重程度之间发现正相关。
研究结果表明,α和低β频段的fEI比率可能作为评估SAD严重程度的有前景的生物标志物。这些结果有助于更深入地理解社交焦虑背后的神经机制,与传统方法相比,为SAD评估提供了一种潜在更客观的方法。