Samantha Weber, Johannes Jungilligens, Selma Aybek, Stoyan Popkirov
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The red nucleus served as a control condition. Entry rates, durations, and state transition probabilities of identified CAPs were calculated. Analyses were corrected for demographic, technical, and clinical confounders including depression and anxiety.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Three LC-related CAPs were identified, with the dominant two showing inverse activations and deactivations of the default mode network and the attention networks, respectively. Analysis of transition probabilities between and within the three CAPs revealed higher state persistence in patients compared to healthy controls for both CAP2<sub>LC</sub> (Cohen's <i>d</i> = −0.55; <i>p</i> = 0.01) and CAP3<sub>LC</sub> (Cohen's <i>d</i> = −0.57; <i>p</i> = 0.01). The control analysis using the red nucleus as a seed yielded similar CAPs, but no significant between-group differences in transition probabilities.</p>\n </section>\n \n <section>\n \n <h3> Significance</h3>\n \n <p>Higher state persistence of LC-CAPs in patients with dissociative seizures generates the novel hypothesis that arousal-related impairments of network switching might be a candidate neural mechanism of dissociation.</p>\n </section>\n \n <section>\n \n <h3> Plain Language Summary</h3>\n \n <p>Dissociative seizures often arise during high affective arousal. The locus coeruleus is a brain structure involved in managing such acute arousal states. We investigated whether the activity of the locus coeruleus correlates with activity in other regions of the brain (which we refer to as “brain states”), and whether those brain states were different between patients with dissociative seizures and healthy controls. We found that patients tended to stay in certain locus coeruleus-dependent brain states instead of switching between them. This might be related to the loss of awareness and disruptions of brain functions (“dissociation”) that patients experience during seizures.</p>\n </section>\n </div>","PeriodicalId":12038,"journal":{"name":"Epilepsia Open","volume":"9 6","pages":"2331-2341"},"PeriodicalIF":2.8000,"publicationDate":"2024-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11633765/pdf/","citationCount":"0","resultStr":"{\"title\":\"Locus coeruleus co-activation patterns at rest show higher state persistence in patients with dissociative seizures: A Pilot Study\",\"authors\":\"Samantha Weber, Johannes Jungilligens, Selma Aybek, Stoyan Popkirov\",\"doi\":\"10.1002/epi4.13050\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Objective</h3>\\n \\n <p>Dissociative seizures are paroxysmal disruptions of awareness and behavioral control in the context of affective arousal. Alterations in stress-related endocrine function have been demonstrated, but the timescale of dissociation suggests that the central locus coeruleus (LC) noradrenergic system is likely pivotal. Here, we investigate whether LC activation at rest is associated with altered brain network dynamics.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>A preliminary co-activation pattern (CAP) analysis of resting-state functional magnetic resonance imaging (fMRI) in 14 patients with dissociative seizures and 14 healthy controls was performed by using the LC as a seeding region. The red nucleus served as a control condition. Entry rates, durations, and state transition probabilities of identified CAPs were calculated. Analyses were corrected for demographic, technical, and clinical confounders including depression and anxiety.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Results</h3>\\n \\n <p>Three LC-related CAPs were identified, with the dominant two showing inverse activations and deactivations of the default mode network and the attention networks, respectively. Analysis of transition probabilities between and within the three CAPs revealed higher state persistence in patients compared to healthy controls for both CAP2<sub>LC</sub> (Cohen's <i>d</i> = −0.55; <i>p</i> = 0.01) and CAP3<sub>LC</sub> (Cohen's <i>d</i> = −0.57; <i>p</i> = 0.01). The control analysis using the red nucleus as a seed yielded similar CAPs, but no significant between-group differences in transition probabilities.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Significance</h3>\\n \\n <p>Higher state persistence of LC-CAPs in patients with dissociative seizures generates the novel hypothesis that arousal-related impairments of network switching might be a candidate neural mechanism of dissociation.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Plain Language Summary</h3>\\n \\n <p>Dissociative seizures often arise during high affective arousal. The locus coeruleus is a brain structure involved in managing such acute arousal states. We investigated whether the activity of the locus coeruleus correlates with activity in other regions of the brain (which we refer to as “brain states”), and whether those brain states were different between patients with dissociative seizures and healthy controls. 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引用次数: 0
摘要
目的:解离性癫痫发作是在情感唤醒背景下意识和行为控制的阵发性中断。应激相关内分泌功能的改变已得到证实,但解离发作的时间尺度表明,中央区小脑去甲肾上腺素能系统可能起着关键作用。在此,我们研究了LC在静息状态下的激活是否与大脑网络动力学的改变有关:方法:以 LC 为播种区域,对 14 名分离性癫痫发作患者和 14 名健康对照者的静息态功能磁共振成像(fMRI)进行了初步的共激活模式(CAP)分析。红色核作为对照条件。计算了已识别 CAP 的进入率、持续时间和状态转换概率。分析对人口、技术和临床混杂因素(包括抑郁和焦虑)进行了校正:结果:发现了三种与低密度脂蛋白胆固醇相关的 CAPs,其中最主要的两种分别表现为默认模式网络和注意力网络的反向激活和失活。对三个CAP之间和内部的转换概率分析显示,与健康对照组相比,患者的CAP2LC(Cohen's d = -0.55;p = 0.01)和CAP3LC(Cohen's d = -0.57;p = 0.01)的状态持续性更高。以红色细胞核为种子进行对照分析的结果与 CAP 相似,但过渡概率在组间无显著差异:意义:解离性癫痫发作患者的 LC-CAPs 状态持续性较高,这提出了一个新的假设,即与唤醒相关的网络切换障碍可能是解离的一种候选神经机制。脑室小叶是参与管理这种急性唤醒状态的大脑结构。我们研究了局部小脑的活动是否与大脑其他区域的活动(我们称之为 "大脑状态")相关,以及解离性癫痫发作患者与健康对照组之间的大脑状态是否有所不同。我们发现,患者倾向于停留在某些依赖于脑皮质的大脑状态,而不是在这些状态之间切换。这可能与患者在癫痫发作时意识丧失和大脑功能紊乱("解离")有关。
Locus coeruleus co-activation patterns at rest show higher state persistence in patients with dissociative seizures: A Pilot Study
Objective
Dissociative seizures are paroxysmal disruptions of awareness and behavioral control in the context of affective arousal. Alterations in stress-related endocrine function have been demonstrated, but the timescale of dissociation suggests that the central locus coeruleus (LC) noradrenergic system is likely pivotal. Here, we investigate whether LC activation at rest is associated with altered brain network dynamics.
Methods
A preliminary co-activation pattern (CAP) analysis of resting-state functional magnetic resonance imaging (fMRI) in 14 patients with dissociative seizures and 14 healthy controls was performed by using the LC as a seeding region. The red nucleus served as a control condition. Entry rates, durations, and state transition probabilities of identified CAPs were calculated. Analyses were corrected for demographic, technical, and clinical confounders including depression and anxiety.
Results
Three LC-related CAPs were identified, with the dominant two showing inverse activations and deactivations of the default mode network and the attention networks, respectively. Analysis of transition probabilities between and within the three CAPs revealed higher state persistence in patients compared to healthy controls for both CAP2LC (Cohen's d = −0.55; p = 0.01) and CAP3LC (Cohen's d = −0.57; p = 0.01). The control analysis using the red nucleus as a seed yielded similar CAPs, but no significant between-group differences in transition probabilities.
Significance
Higher state persistence of LC-CAPs in patients with dissociative seizures generates the novel hypothesis that arousal-related impairments of network switching might be a candidate neural mechanism of dissociation.
Plain Language Summary
Dissociative seizures often arise during high affective arousal. The locus coeruleus is a brain structure involved in managing such acute arousal states. We investigated whether the activity of the locus coeruleus correlates with activity in other regions of the brain (which we refer to as “brain states”), and whether those brain states were different between patients with dissociative seizures and healthy controls. We found that patients tended to stay in certain locus coeruleus-dependent brain states instead of switching between them. This might be related to the loss of awareness and disruptions of brain functions (“dissociation”) that patients experience during seizures.