阿尔茨海默病患者躁动中的蓝斑信号强度与情绪调节。

IF 4.1 Q1 CLINICAL NEUROLOGY Brain communications Pub Date : 2024-12-17 eCollection Date: 2025-01-01 DOI:10.1093/braincomms/fcae457
Kathy Y Liu, Matthew J Betts, Dorothea Hämmerer, Emrah Düzel, Mara Mather, Jonathan P Roiser, Anja Schneider, Annika Spottke, Ayda Rostamzadeh, Björn H Schott, Boris-Stephan Rauchmann, Christoph Laske, Daniel Janowitz, Eike J Spruth, Ersin Ersözlü, Falk Lüsebrink, Frank Jessen, Ingo Frommann, Ingo Kilimann, Jens Wiltfang, Johanna Brustkern, Josef Priller, Julian Hellman-Regen, Katharina Buerger, Klaus Fliessbach, Klaus Scheffler, Luca Kleineidam, Melina Stark, Michael Ewers, Michael Wagner, Oliver Peters, Peter Dechent, Robert Perneczky, Sebastian Sodenkamp, Stefan Hetzer, Stefan Teipel, Wenzel Glanz, Robert Howard
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引用次数: 0

摘要

从阿尔茨海默病的早期开始,在去肾上腺素能蓝斑中可见过度磷酸化的tau积累,并与躁动症状有关。据推测,代偿性蓝斑-去甲肾上腺素系统过度活跃和情绪调节受损可能是躁动倾向的基础,但据我们所知,这一点此前尚未得到研究。更好地了解躁动的神经生物学基础将有助于制定有针对性的预防和治疗策略。使用来自德国神经退行性疾病中心(DZNE)-纵向认知障碍和痴呆(DELCODE)研究队列(N = 309,年龄67-96岁,51%女性)的健忘轻度认知障碍和可能轻度阿尔茨海默病痴呆的个体样本,我们评估了代表情感相关执行调节网络功能完整性的潜在因素与躁动点患病率和严重程度评分之间的横断面关系。在蓝斑核磁共振成像数据个体的子样本中(N = 37,年龄68-93岁,49%为女性),我们还初步研究了蓝斑核磁共振对比度(一种结构完整性的测量,整个或分为吻侧、中部和尾侧三分之一)与个体影响相关的调节网络因子评分和躁动测量之间的关系。回归模型控制了年龄和临床疾病严重程度的影响,对于包括静息状态功能MRI连接变量、灰质体积和受教育年限的模型。激越点流行率与代表情感相关执行调节网络功能完整性的潜在因素呈正相关关系(与相应的结构性措施呈负相关关系)。蓝斑核磁共振对比度与躁动严重程度呈正相关(但仅适用于吻侧三分之一,N = 13),与功能性情感相关的执行调节潜在因素评分负相关。静息状态下前额叶内侧皮质区与左杏仁核之间的功能连接与蓝斑核MRI对比率有关。这些发现暗示了蓝斑完整性和情绪失调在阿尔茨海默病躁动中的参与,并支持潜在代偿过程的存在。在神经水平上,躁动风险本身的机制与症状严重程度之间可能存在分离。需要进一步的研究来复制和扩展这些发现,包括纵向设计、自主功能测量和非线性建模方法,以探索阿尔茨海默病各个阶段的潜在因果关系和环境依赖关系。
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Locus coeruleus signal intensity and emotion regulation in agitation in Alzheimer's disease.

Hyperphosphorylated tau accumulation is seen in the noradrenergic locus coeruleus from the earliest stages of Alzheimer's disease onwards and has been associated with symptoms of agitation. It is hypothesized that compensatory locus coeruleus-noradrenaline system overactivity and impaired emotion regulation could underlie agitation propensity, but to our knowledge this has not previously been investigated. A better understanding of the neurobiological underpinnings of agitation would help the development of targeted prevention and treatment strategies. Using a sample of individuals with amnestic mild cognitive impairment and probable mild Alzheimer's disease dementia from the German Center for Neurodegenerative Diseases (DZNE)-Longitudinal Cognitive Impairment and Dementia (DELCODE) study cohort (N = 309, aged 67-96 years, 51% female), we assessed cross-sectional relationships between a latent factor representing the functional integrity of an affect-related executive regulation network and agitation point prevalence and severity scores. In a subsample of individuals with locus coeruleus MRI imaging data (N = 37, aged 68-93 years, 49% female), we also investigated preliminary associations between locus coeruleus MRI contrast ratios (a measure of structural integrity, whole or divided into rostral, middle, and caudal thirds) and individual affect-related regulation network factor scores and agitation measures. Regression models controlled for effects of age and clinical disease severity and, for models including resting-state functional MRI connectivity variables, grey matter volume and education years. Agitation point prevalence showed a positive relationship with a latent factor representing the functional integrity (and a negative relationship with a corresponding structural measure) of the affect-related executive regulation network. Locus coeruleus MRI contrast ratios were positively associated with agitation severity (but only for the rostral third, in N = 13) and negatively associated with the functional affect-related executive regulation latent factor scores. Resting-state functional connectivity between a medial prefrontal cortex region and the left amygdala was related to locus coeruleus MRI contrast ratios. These findings implicate the involvement of locus coeruleus integrity and emotion dysregulation in agitation in Alzheimer's disease and support the presence of potential compensatory processes. At the neural level, there may be a dissociation between mechanisms underlying agitation risk per se and symptom severity. Further studies are needed to replicate and extend these findings, incorporating longitudinal designs, measures of autonomic function and non-linear modelling approaches to explore potential causal and context-dependent relationships across Alzheimer's disease stages.

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