伴有自杀意念的老年抑郁症患者大脑网络动力学的异常：脑电图微状态分析
Abnormalities in large-scale brain network dynamics in late-life depression with suicidal ideation: an EEG microstate analysis.
作者信息
Lin Yicheng, Wu Zhangying, Zhang Min, Lin Gaohong, Zeng Yijie, Lao Jingyi, Zhou Huarong, Chen Ben, Wang Qiang, Xu Danyan, Yang Mingfeng, Ning Yuping, Zhong Xiaomei
机构信息
From The Geriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China (Y. Lin, Wu, Zhang, G. Lin, Zeng, Lao, Zhou, Chen, Wang, Xu, Yang, Ning, Zhong); the First School of Clinical Medicine, Southern Medical University, Guangzhou, China (Ning); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Ning); the Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China (Ning); the Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China (Ning, Zhong).
From The Geriatric Neuroscience Center, The Affiliated Brain Hospital, Guangzhou Medical University, Guangzhou, China (Y. Lin, Wu, Zhang, G. Lin, Zeng, Lao, Zhou, Chen, Wang, Xu, Yang, Ning, Zhong); the First School of Clinical Medicine, Southern Medical University, Guangzhou, China (Ning); the Guangdong Engineering Technology Research Center for Translational Medicine of Mental Disorders, Guangzhou, China (Ning); the Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, The Second Affiliated Hospital, Guangzhou Medical University, Guangzhou, China (Ning); the Key Laboratory of Neurogenetics and Channelopathies of Guangdong Province and the Ministry of Education of China, Guangzhou Medical University, Guangzhou, China (Ning, Zhong)
出版信息
J Psychiatry Neurosci. 2025 Mar 11;50(2):E92-E101. doi: 10.1503/jpn.240115. Print 2025 Mar-Apr.
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 ( = 0.04), occurrence ( = 0.009), and contribution ( = 0.001) of microstate C (reflecting activity of the salience network), compared with the LLD-NSI group, as well as higher occurrence ( = 0.03) and contribution ( = 0.009) of microstate C compared with the control group. Furthermore, transition probabilities from microstate class A to D ( = -0.466, = 0.04) and class D to A ( = -0.506, = 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.
背景
有自杀意念（SI）的老年抑郁症（LLD）患者往往有更明确的自杀计划，且老年人的自杀企图比其他年龄组的致死性更高。越来越多的证据表明，抑郁症中有自杀意念的人表现出异常的脑网络连通性；然而，LLD中自杀意念与脑网络动力学之间的关系仍不清楚。
方法
我们招募了有自杀意念的LLD患者（LLD-SI）、无自杀意念的LLD患者（LLD-NSI）以及年龄匹配的健康老年人。我们收集了所有参与者的64通道静息态脑电图（EEG）记录，并使用微状态分析来探索大规模脑网络动力学。
结果
我们纳入了33例LLD-SI患者、29例LLD-NSI患者和31名对照。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的持续时间（=0.04）、出现率（=0.009）和贡献率（=0.001）更高（反映突显网络的活动），与对照组相比，微状态C的出现率（=0.03）和贡献率（=0.009）也更高。此外，在LLD-SI组中，从微状态A到D（=-0.466，=0.04）和从微状态D到A（=-0.506，=0.02）的转移概率（涉及听觉和执行控制网络的耦合和顺序激活）与Stroop颜色和单词测试C部分（执行功能的神经心理学测试）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妨碍了探索异常微状态动力学与自杀意念之间的因果关系，并且我们没有纳入未服用过药物的首发LLD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，微状态动力学可作为识别LLD中自杀意念的潜在神经生物标志物。
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