{"title":"Association of resting-state EEG with suicidality in depressed patients: a systematic review.","authors":"Fatemeh Shamsi, Fatemeh Azadinia, Farzaneh Vafaee","doi":"10.1186/s12888-024-06464-x","DOIUrl":null,"url":null,"abstract":"<p><strong>Objective: </strong>The incidence of suicide is high among adolescents and young adults, especially those suffering from psychiatric diseases. Because of the reported association between depression and suicidality, exploring suicide risk factors in depressed patients is crucial for the identification of those at high risk and preventing suicide. In recent decades, electroencephalography parameters have been considered for identifying biomarkers of suicide ideation and attempts in depressed patients. This study aimed to review the available literature on resting-state EEG for suicidality in depressed patients.</p><p><strong>Method: </strong>A systematic search was performed in five electronic databases, including APA PsycINFO, Embase, Medline (via PubMed), Scopus, and Web of Science. Papers with full text available in English in which resting-state EEG was evaluated in depressed patients with suicide ideation or suicide attempts compared to a control group of healthy subjects or non-suicidal depressed patients were included. The risk of bias was assessed by using the Newcastle-Ottawa scale.</p><p><strong>Results: </strong>A total of 4665 references were retrieved from five electronic databases from which eleven studies were included in this systematic review. A meta-analysis was not performed due to the substantial heterogeneity of the studies. Five of the eleven reviewed papers were classified as high-quality, and six had moderate quality.</p><p><strong>Conclusions: </strong>According to the included studies in this review, the EEG signals of depressed patients with suicide ideation or suicide attempts may be different from patients with low risk of suicidality or healthy subjects. Connectivity measures sound more promising parameters than the power spectral analysis and EEG asymmetry.</p><p><strong>Protocol registration: </strong>The protocol of this review was registered in PROSPERO (No. CRD42024502056).</p>","PeriodicalId":9029,"journal":{"name":"BMC Psychiatry","volume":"25 1","pages":"24"},"PeriodicalIF":3.4000,"publicationDate":"2025-01-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11707925/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"BMC Psychiatry","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1186/s12888-024-06464-x","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"PSYCHIATRY","Score":null,"Total":0}
引用次数: 0
Abstract
Objective: The incidence of suicide is high among adolescents and young adults, especially those suffering from psychiatric diseases. Because of the reported association between depression and suicidality, exploring suicide risk factors in depressed patients is crucial for the identification of those at high risk and preventing suicide. In recent decades, electroencephalography parameters have been considered for identifying biomarkers of suicide ideation and attempts in depressed patients. This study aimed to review the available literature on resting-state EEG for suicidality in depressed patients.
Method: A systematic search was performed in five electronic databases, including APA PsycINFO, Embase, Medline (via PubMed), Scopus, and Web of Science. Papers with full text available in English in which resting-state EEG was evaluated in depressed patients with suicide ideation or suicide attempts compared to a control group of healthy subjects or non-suicidal depressed patients were included. The risk of bias was assessed by using the Newcastle-Ottawa scale.
Results: A total of 4665 references were retrieved from five electronic databases from which eleven studies were included in this systematic review. A meta-analysis was not performed due to the substantial heterogeneity of the studies. Five of the eleven reviewed papers were classified as high-quality, and six had moderate quality.
Conclusions: According to the included studies in this review, the EEG signals of depressed patients with suicide ideation or suicide attempts may be different from patients with low risk of suicidality or healthy subjects. Connectivity measures sound more promising parameters than the power spectral analysis and EEG asymmetry.
Protocol registration: The protocol of this review was registered in PROSPERO (No. CRD42024502056).
目的:青少年和青壮年自杀的发生率较高,尤其是精神疾病患者。由于抑郁症与自杀之间的关联,探索抑郁症患者的自杀风险因素对于识别高危人群和预防自杀至关重要。近几十年来,脑电图参数已被认为是识别抑郁症患者自杀意念和企图的生物标志物。本研究旨在回顾有关静息状态脑电图诊断抑郁症患者自杀倾向的文献。方法:系统检索APA PsycINFO、Embase、Medline(通过PubMed)、Scopus、Web of Science等5个电子数据库。将有自杀意念或自杀企图的抑郁症患者的静息状态脑电图与对照组健康受试者或无自杀倾向的抑郁症患者进行比较的论文纳入其中。偏倚风险采用纽卡斯尔-渥太华量表进行评估。结果:从5个电子数据库中共检索到4665篇文献,其中11篇研究被纳入本系统综述。由于研究的异质性,没有进行meta分析。11篇综述论文中5篇为高质量,6篇为中等质量。结论:根据本综述纳入的研究,有自杀意念或企图自杀的抑郁症患者的脑电图信号可能与低自杀风险患者或健康受试者不同。连通性测量听起来比功率谱分析和脑电图不对称更有前途。方案注册:本综述的方案在普洛斯彼罗(PROSPERO)注册。CRD42024502056)。
期刊介绍:
BMC Psychiatry is an open access, peer-reviewed journal that considers articles on all aspects of the prevention, diagnosis and management of psychiatric disorders, as well as related molecular genetics, pathophysiology, and epidemiology.