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Copyright: ©Author(s) 2026. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial (CC BY-NC 4.0) license. No commercial re-use. See permissions. Published by Baishideng Publishing Group Inc.
World J Psychiatry. Jun 19, 2026; 16(6): 116395
Published online Jun 19, 2026. doi: 10.5498/wjp.v16.i6.116395
Letter to the Editor: New neural perspective on suicidal behavior in adolescent depression: Specific amygdala subregional dysconnectivity with visual and socio-cognitive networks
Xiao-Yue Zhou, Xiao-Qi Gong, Quan-Feng Zhu
Xiao-Yue Zhou, Xiao-Qi Gong, Quan-Feng Zhu, Department of Psychiatry, Affiliated Xiaoshan Hospital, Hangzhou Normal University, Hangzhou 311200, Zhejiang Province, China
Co-first authors: Xiao-Yue Zhou and Xiao-Qi Gong.
Author contributions: Zhu QF designed the study and revised the manuscript; Zhou XY and Gong XQ wrote the first draft of the manuscript, and they contributed equally to this manuscript and are co-first authors. All the authors have read and approved the final version to be published.
AI contribution statement: This research utilized artificial intelligence tools for assistance. Before seeking professional language editing services for language polishing, this study utilized AI tools for language translation.
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Corresponding author: Quan-Feng Zhu, Associate Chief Pharmacist, Director, Department of Psychiatry, Affiliated Xiaoshan Hospital, Hangzhou Normal University, No. 728 Yuercai North Road, Hangzhou 311200, Zhejiang Province, China. quanfengzhu@126.com
Received: November 17, 2025
Revised: January 8, 2026
Accepted: February 10, 2026
Published online: June 19, 2026
Processing time: 195 Days and 3.3 Hours
Abstract

This letter discusses a recent case-control study by Cheng et al, which investigated alterations in resting-state functional connectivity (rsFC) in adolescents with major depressive disorder (MDD) and a history of suicide attempt (sMDD), with a specific focus on the subregions of the amygdala and their connectivity with whole-brain networks. The study included 32 sMDD patients, 33 MDD patients without suicide attempt (nsMDD), and 34 healthy controls, using resting-state functional magnetic resonance imaging. The results revealed that, compared with the nsMDD group, the sMDD group exhibited significantly reduced rsFC between the right lateral amygdala and both the right inferior occipital gyrus and the left middle occipital gyrus. Furthermore, within the sMDD group, rsFC between the right medial amygdala and the right superior temporal gyrus was negatively correlated with self-esteem scores, while rsFC between the left lateral amygdala and the right parahippocampal gyrus was positively correlated with interpersonal stress scores. These findings underscore abnormal functional connectivity between amygdala subregions and brain areas involved in visual processing, emotion, and social cognition, which may represent a potential neural mechanism underlying suicidal behavior in depressed adolescents. Future studies should integrate multimodal neuroimaging and longitudinal designs to validate these findings and provide a neurobiological basis for early identification and intervention of suicide risk in adolescent depression.

Keywords: Major depressive disorder; Adolescent; Suicide attempt; Amygdala; Functional connectivity

Core Tip: Adolescents with major depressive disorder and a history of suicide attempts exhibit reduced resting-state functional connectivity between the right lateral amygdala and visual association areas (bilateral occipital lobes), along with abnormal connections involving the parahippocampal gyrus and superior temporal gyrus. These neural patterns are further correlated with lower self-esteem and higher interpersonal stress, offering an integrated neurobiological model linking emotional regulation, self-evaluation, and environmental stress in adolescent suicidality. The findings highlight the potential of amygdala subregion-based analysis in identifying specific neural circuits associated with suicide risk, paving the way for future biomarker development and targeted interventions.

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