功能性神经紊乱的瞬态静息态显著性-边缘共同激活模式

IF 3.4 2区 医学 Q2 NEUROIMAGING Neuroimage-Clinical Pub Date : 2024-01-01 DOI:10.1016/j.nicl.2024.103583
Samantha Weber , Janine Bühler , Serafeim Loukas , Thomas A.W. Bolton , Giorgio Vanini , Rupert Bruckmaier , Selma Aybek
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引用次数: 0

摘要

背景功能性神经紊乱历来被认为是大脑动态病变的表现,可能与创伤或压力有关,但这种关联尚未得到直接验证。方法对79名混合型功能性神经障碍(即功能性运动障碍、功能性癫痫发作、持续性知觉-姿势性头晕)患者和74名年龄和性别匹配的健康对照者进行病例对照静息态功能磁共振成像研究。采用两步分层数据驱动神经成像方法,首先计算了17个静息态网络之间的静态功能连接性。其次,利用共激活模式分析研究这些网络的动态变化。通过偏最小二乘法相关性分析,评估了改变的时间特征与应激生物标志物以及临床评分之间的多变量相关模式。因此,脑岛和杏仁核被选为后续分析的种子区域。结果发现,患者比对照组更频繁地进入与显著性网络、躯体运动网络和默认模式网络相关的脑岛共(去)激活模式。此外,还发现了与皮层下区域相关的岛叶共同(去)激活模式,以及与不同皮层网络相关的广泛共同(去)激活模式,患者进入这些网络的频率低于对照组。在患者中,动态变化与淀粉酶测量值和症状持续时间共同相关。结论:脑岛共同激活模式的改变、应激生物标志物和临床数据之间的关系提出了涉及应激调节和功能(网络)整合的相互关联机制。总之,在功能性神经紊乱患者中发现了大脑功能网络动态的改变,这支持了之前提出的注意力和内感知处理受损的概念。
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Transient resting-state salience-limbic co-activation patterns in functional neurological disorders

Background

Functional neurological disorders were historically regarded as the manifestation of a dynamic brain lesion which might be linked to trauma or stress, although this association has not yet been directly tested yet. Analysing large-scale brain network dynamics at rest in relation to stress biomarkers assessed by salivary cortisol and amylase could provide new insights into the pathophysiology of functional neurological symptoms.

Methods

Case-control resting-state functional magnetic resonance imaging study of 79 patients with mixed functional neurological disorders (i.e., functional movement disorders, functional seizures, persistent perceptual-postural dizziness) and 74 age- and sex-matched healthy controls. Using a two-step hierarchical data-driven neuroimaging approach, static functional connectivity was first computed between 17 resting-state networks. Second, dynamic alterations in these networks were examined using co-activation pattern analysis. Using a partial least squares correlation analysis, the multivariate pattern of correlation between altered temporal characteristics and stress biomarkers as well as clinical scores were evaluated.

Results

Compared to healthy controls, patients presented with functional aberrancies of the salience-limbic network connectivity. Thus, the insula and amygdala were selected as seed-regions for the subsequent analyses. Insular co-(de)activation patterns related to the salience network, the somatomotor network and the default mode network were detected, which patients entered more frequently than controls. Moreover, an insular co-(de)activation pattern with subcortical regions together with a wide-spread co-(de)activation with diverse cortical networks was detected, which patients entered less frequently than controls. In patients, dynamic alterations conjointly correlated with amylase measures and duration of symptoms.

Conclusion

The relationship between alterations in insular co-activation patterns, stress biomarkers and clinical data proposes inter-related mechanisms involved in stress regulation and functional (network) integration. In summary, altered functional brain network dynamics were identified in patients with functional neurological disorder supporting previously raised concepts of impaired attentional and interoceptive processing.

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来源期刊
Neuroimage-Clinical
Neuroimage-Clinical NEUROIMAGING-
CiteScore
7.50
自引率
4.80%
发文量
368
审稿时长
52 days
期刊介绍: NeuroImage: Clinical, a journal of diseases, disorders and syndromes involving the Nervous System, provides a vehicle for communicating important advances in the study of abnormal structure-function relationships of the human nervous system based on imaging. The focus of NeuroImage: Clinical is on defining changes to the brain associated with primary neurologic and psychiatric diseases and disorders of the nervous system as well as behavioral syndromes and developmental conditions. The main criterion for judging papers is the extent of scientific advancement in the understanding of the pathophysiologic mechanisms of diseases and disorders, in identification of functional models that link clinical signs and symptoms with brain function and in the creation of image based tools applicable to a broad range of clinical needs including diagnosis, monitoring and tracking of illness, predicting therapeutic response and development of new treatments. Papers dealing with structure and function in animal models will also be considered if they reveal mechanisms that can be readily translated to human conditions.
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