Enhancing Electroencephalogram-Based Prediction of Posttraumatic Stress Disorder Treatment Response Using Data Augmentation.

IF 1.8 4区 医学 Q3 PSYCHIATRY
Psychiatry Investigation Pub Date : 2025-08-01 Epub Date: 2025-08-05 DOI:10.30773/pi.2025.0133
Sangha Kim, Chaeyeon Yang, Suh-Yeon Dong, Seung-Hwan Lee
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引用次数: 0

Abstract

Objective: This study aimed to improve the prediction of treatment response in patients with posttraumatic stress disorder (PTSD) by applying a variational autoencoder (VAE)-based data augmentation (DA) approach to electroencephalogram (EEG) data.

Methods: EEG spectrograms were collected from patients diagnosed with PTSD. A VAE model was pretrained on the original spectrograms and used to generate augmented data samples. These augmented spectrograms were then utilized to train a deep neural network (DNN) classifier. The performance of the model was evaluated by comparing the area under the receiver operating characteristic curve (AUC) between models trained with and without DA.

Results: The DNN trained with VAE-augmented EEG data achieved an AUC of 0.85 in predicting treatment response, which was 0.11 higher than the model trained without augmentation. This reflects a significant improvement in classification performance and model generalization.

Conclusion: VAE-based DA effectively addresses the challenge of limited EEG data in clinical settings and enhances the performance of DNN models for treatment response prediction in PTSD. This approach presents a promising direction for future EEG-based neuropsychiatric research involving small datasets.

Abstract Image

Abstract Image

Abstract Image

利用数据增强技术增强基于脑电图的创伤后应激障碍治疗反应预测。
目的:应用基于变分自编码器(VAE)的脑电数据增强(DA)方法,提高对创伤后应激障碍(PTSD)患者治疗反应的预测能力。方法:收集PTSD患者的脑电图。在原始谱图上预训练VAE模型,并用于生成增强数据样本。然后利用这些增强谱图来训练深度神经网络(DNN)分类器。通过比较使用和不使用DA训练的模型的接收者工作特征曲线下面积(AUC)来评估模型的性能。结果:经脑电图增强数据训练的DNN预测治疗反应的AUC为0.85,比未经增强训练的模型高0.11。这反映了在分类性能和模型泛化方面的显著改进。结论:基于vae的脑电数据分析有效地解决了临床上脑电数据有限的难题,提高了DNN模型在PTSD治疗反应预测中的性能。这种方法为未来涉及小数据集的基于脑电图的神经精神病学研究提供了一个有希望的方向。
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来源期刊
CiteScore
4.10
自引率
3.70%
发文量
105
审稿时长
6-12 weeks
期刊介绍: The Psychiatry Investigation is published on the 25th day of every month in English by the Korean Neuropsychiatric Association (KNPA). The Journal covers the whole range of psychiatry and neuroscience. Both basic and clinical contributions are encouraged from all disciplines and research areas relevant to the pathophysiology and management of neuropsychiatric disorders and symptoms, as well as researches related to cross cultural psychiatry and ethnic issues in psychiatry. The Journal publishes editorials, review articles, original articles, brief reports, viewpoints and correspondences. All research articles are peer reviewed. Contributions are accepted for publication on the condition that their substance has not been published or submitted for publication elsewhere. Authors submitting papers to the Journal (serially or otherwise) with a common theme or using data derived from the same sample (or a subset thereof) must send details of all relevant previous publications and simultaneous submissions. The Journal is not responsible for statements made by contributors. Material in the Journal does not necessarily reflect the views of the Editor or of the KNPA. Manuscripts accepted for publication are copy-edited to improve readability and to ensure conformity with house style.
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