Clinical Implication of Maumgyeol Basic Biotypes–Electroencephalography- and Photoplethysmogram-Based Bwave State Inventory

IF 1.8 4区 医学 Q3 PSYCHIATRY
Yunsu Kim, Junseok Hwang, Jaehyung Lee, Seongwon Jang, Yumi Im, Sunkyung Yoon, Seung-Hwan Lee
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Abstract

Objective The development of individual subtypes based on biomarkers offers a cost-effective and timely avenue to comprehending individual differences pertaining to mental health, independent from individuals’ subjective insights. Incorporating 2-channel electroencephalography (EEG) and photoplethysmogram (PPG), we sought to establish a subtype classification system with clinical relevance.Methods One hundred healthy participants and 99 patients with psychiatric disorders were recruited. Classification thresholds were determined using the EEG and PPG data from 2,278 individuals without mental disorders, serving to classify subtypes in our sample of 199 participants. Multivariate analysis of variance was applied to examine psychological distinctions among these subtypes. K-means clustering was employed to verify the classification system.Results The distribution of subtypes differed between healthy participants and those with psychiatric disorders. Cognitive abilities were contingent upon brain subtypes, while mind subtypes exhibited significant differences in symptom severity, overall health, and cognitive stress. K-means clustering revealed that the results of our theory-based classification and data-driven classification are comparable. The synergistic assessment of both brain and mind subtypes was also explored.Conclusion Our subtype classification system offers a concise means to access individuals’ mental health. The utilization of EEG and PPG signals for subtype classification offers potential for the future of digital mental healthcare.
基于 Maumgyeol 基本生物类型--脑电图和人像图的 B 波状态清单的临床意义
目的 基于生物标志物的个体亚型的开发为了解与心理健康有关的个体差异提供了一种独立于个体主观见解的经济、及时的途径。结合双通道脑电图(EEG)和光电搏动图(PPG),我们试图建立一个具有临床意义的亚型分类系统。我们使用来自 2,278 名无精神障碍患者的脑电图和 PPG 数据确定了分类阈值,用于对我们的 199 名参与者样本进行亚型分类。我们采用多变量方差分析来研究这些亚型之间的心理差异。结果 健康参与者和精神障碍患者的亚型分布不同。认知能力取决于大脑亚型,而心理亚型在症状严重程度、总体健康状况和认知压力方面表现出显著差异。K均值聚类显示,我们基于理论的分类结果与数据驱动的分类结果具有可比性。结论 我们的亚型分类系统为了解个人心理健康提供了一种简明的方法。利用脑电图和 PPG 信号进行亚型分类为未来的数字心理保健提供了潜力。
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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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