Abnormalities in large-scale brain network dynamics in late-life depression with suicidal ideation: an EEG microstate analysis.

IF 4.1 2区医学 Q2 NEUROSCIENCES

Journal of Psychiatry & Neuroscience Pub Date : 2025-03-11 Print Date: 2025-03-01 DOI:10.1503/jpn.240115

Yicheng Lin, Zhangying Wu, Min Zhang, Gaohong Lin, Yijie Zeng, Jingyi Lao, Huarong Zhou, Ben Chen, Qiang Wang, Danyan Xu, Mingfeng Yang, Yuping Ning, Xiaomei Zhong

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引用次数: 0

Abstract

Background: Patients with late-life depression (LLD) with suicidal ideation (SI) often have more explicit suicide plans, and suicide attempts among older adults are more highly lethal than in other age groups. Increasing evidence suggests that people with SI in depression exhibit abnormal brain network connectivity; however, the relationship between suicidal ideation in LLD and brain network dynamics is still unclear.

Methods: We recruited patients with LLD and SI (LLD-SI), patients with LLD without SI (LLD-NSI), and age-matched healthy older adults. We collected 64-channel resting state electroencephalography (EEG) recordings of all participants and used microstate analysis to explore large-scale brain network dynamics.

Results: We included 33 patients with LLD-SI, 29 patients with LLD-NSI, and 31 controls. We observed abnormal microstate parameters in the LLD-SI group, characterized by higher duration (p = 0.04), occurrence (p = 0.009), and contribution (p = 0.001) of microstate C (reflecting activity of the salience network), compared with the LLD-NSI group, as well as higher occurrence (p = 0.03) and contribution (p = 0.009) of microstate C compared with the control group. Furthermore, transition probabilities from microstate class A to D (r = -0.466, p = 0.04) and class D to A (r = -0.506, p = 0.02) (involving coupling and sequential activation of auditory and executive control network) were negatively correlated with completion time of Stroop Colour and Word Test Part C (a neuropsychological test of executive function) in the LLD-SI group.

Limitations: The sample size was relatively small, the cross-sectional nature of this study prohibited exploring the causal relationship between abnormal microstate dynamics and suicidal ideation, and we did not include medication-naive patients with first-episode LLD.

Conclusion: The study reveals altered microstate dynamics among patients with LLD-SI, compared with patients with LLD-NSI and controls. Our findings suggest that microstate dynamics could serve as potential neurobiomarkers for identifying SI in LLD.

查看原文本刊更多论文

老年抑郁症伴自杀意念的大规模脑网络动力学异常：脑电图微观状态分析。

背景：有自杀意念（SI）的晚期抑郁症（LLD）患者通常有更明确的自杀计划，老年人的自杀企图比其他年龄组更致命。越来越多的证据表明抑郁症SI患者表现出异常的大脑网络连接；然而，LLD自杀意念与脑网络动力学之间的关系尚不清楚。方法：我们招募了LLD合并SI的患者（LLD-SI）， LLD不SI的患者（LLD- nsi）和年龄匹配的健康老年人。我们收集了所有参与者的64通道静息状态脑电图（EEG）记录，并使用微状态分析来探索大尺度的脑网络动态。结果：我们纳入了33例LLD-SI患者，29例LLD-NSI患者和31例对照组。我们观察到LLD-SI组的微状态参数异常，其特征是与LLD-NSI组相比，微状态C（反映显著性网络的活性）的持续时间（p = 0.04）、发生率（p = 0.009）和贡献（p = 0.001）更长，以及与对照组相比，微状态C的发生率（p = 0.03）和贡献（p = 0.009）更高。此外，从微观状态A到D （r = -0.466, p = 0.04）和从微观状态D到A (r = -0.506, p = 0.02)（涉及听觉和执行控制网络的耦合和顺序激活）的转移概率与执行功能神经心理测试Stroop color and Word Test Part C的完成时间呈负相关。局限性：样本量相对较小，本研究的横断面性质禁止探索异常微观状态动力学与自杀意念之间的因果关系，并且我们没有纳入首次发作LLD的未用药患者。结论：该研究揭示了与LLD-NSI患者和对照组相比，LLD-SI患者的微观状态动力学发生了改变。我们的研究结果表明，微状态动力学可以作为识别LLD中SI的潜在神经生物标志物。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Journal of Psychiatry & Neuroscience 医学-精神病学

CiteScore

6.80

自引率

2.30%

发文量

审稿时长

2 months

期刊介绍： The Journal of Psychiatry & Neuroscience publishes papers at the intersection of psychiatry and neuroscience that advance our understanding of the neural mechanisms involved in the etiology and treatment of psychiatric disorders. This includes studies on patients with psychiatric disorders, healthy humans, and experimental animals as well as studies in vitro. Original research articles, including clinical trials with a mechanistic component, and review papers will be considered.