Association of resting-state EEG with suicidality in depressed patients: a systematic review

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...

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Main Authors: Fatemeh Shamsi, Fatemeh Azadinia, Farzaneh Vafaee
Format: Article
Language:English
Published: BMC 2025-01-01
Series:BMC Psychiatry
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Online Access:https://doi.org/10.1186/s12888-024-06464-x
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author Fatemeh Shamsi
Fatemeh Azadinia
Farzaneh Vafaee
author_facet Fatemeh Shamsi
Fatemeh Azadinia
Farzaneh Vafaee
author_sort Fatemeh Shamsi
collection DOAJ
description 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).
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spelling doaj-art-62932e79b4a94a13a079e8e5f3ac18ab2025-01-12T12:34:21ZengBMCBMC Psychiatry1471-244X2025-01-0125111710.1186/s12888-024-06464-xAssociation of resting-state EEG with suicidality in depressed patients: a systematic reviewFatemeh Shamsi0Fatemeh Azadinia1Farzaneh Vafaee2Department of Neuroscience, School of Advanced Medical Sciences and Technologies, Shiraz University of Medical SciencesRehabilitation Research Center, Department of Orthotics and Prosthetics, School of Rehabilitation Sciences, Iran University of Medical SciencesNeuroscience Research Center, Mashhad University of Medical SciencesAbstract 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).https://doi.org/10.1186/s12888-024-06464-xElectroencephalographySuicide ideationSuicide attemptMDDMajor depressive disorder
spellingShingle Fatemeh Shamsi
Fatemeh Azadinia
Farzaneh Vafaee
Association of resting-state EEG with suicidality in depressed patients: a systematic review
BMC Psychiatry
Electroencephalography
Suicide ideation
Suicide attempt
MDD
Major depressive disorder
title Association of resting-state EEG with suicidality in depressed patients: a systematic review
title_full Association of resting-state EEG with suicidality in depressed patients: a systematic review
title_fullStr Association of resting-state EEG with suicidality in depressed patients: a systematic review
title_full_unstemmed Association of resting-state EEG with suicidality in depressed patients: a systematic review
title_short Association of resting-state EEG with suicidality in depressed patients: a systematic review
title_sort association of resting state eeg with suicidality in depressed patients a systematic review
topic Electroencephalography
Suicide ideation
Suicide attempt
MDD
Major depressive disorder
url https://doi.org/10.1186/s12888-024-06464-x
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