Macquarie University, Balaclava Road, Macquarie Park, New South Wales 2109, Australia; New South Wales Service for the Rehabilitation and Treatment of Torture and Trauma Survivors (STARTTS), 152-168 The Horsley Drive Carramar, New South Wales 2163, Australia.
Macquarie University, Balaclava Road, Macquarie Park, New South Wales 2109, Australia.
Int J Psychophysiol. 2023 Mar;185:27-49. doi: 10.1016/j.ijpsycho.2023.01.009. Epub 2023 Jan 30.
The enigma of post-traumatic stress disorder (PTSD) is embedded in a complex array of physiological responses to stressful situations that result in disruptions in arousal and cognitions that characterise the psychological disorder. Deciphering these physiological patterns is complex, which has seen the use of machine learning (ML) grow in popularity. However, it is unclear to what extent ML has been used with physiological data, specifically, the electroencephalogram (EEG) and electrocardiogram (ECG) to further understand the physiological responses associated with PTSD. To better understand the use of EEG and ECG biomarkers, with and without ML, a scoping review was undertaken. A total of 124 papers based on adult samples were identified comprising 19 ML studies involving EEG and ECG. A further 21 studies using EEG data, and 84 studies employing ECG meeting all other criteria but not employing ML were included for comparison. Identified studies indicate classical ML methodologies currently dominate EEG and ECG biomarkers research, with derived biomarkers holding clinically relevant diagnostic implications for PTSD. Discussion of the emerging trends, algorithms used and their success is provided, along with areas for future research.
创伤后应激障碍（PTSD）的谜团嵌入在对紧张情况的一系列复杂生理反应中，这些反应导致唤醒和认知的中断，从而构成了心理障碍的特征。 破译这些生理模式很复杂，这使得机器学习（ML）的使用越来越受欢迎。 但是，尚不清楚 ML 在多大程度上已经与生理数据（特别是脑电图（EEG）和心电图（ECG））一起使用，以进一步了解与 PTSD 相关的生理反应。 为了更好地理解 EEG 和 ECG 生物标志物的使用，包括有无 ML，进行了范围综述。 总共确定了基于成人样本的 124 篇论文，其中包括 19 项涉及 EEG 和 ECG 的 ML 研究。 进一步纳入了 21 项使用 EEG 数据的研究，以及 84 项符合所有其他标准但不使用 ML 的研究，用于比较。 确定的研究表明，经典的 ML 方法目前主导着 EEG 和 ECG 生物标志物研究，衍生的生物标志物对 PTSD 具有临床相关的诊断意义。 提供了对新兴趋势，使用的算法及其成功的讨论，以及未来研究的领域。
