The many faces of anxiety-neurobiological correlates of anxiety phenotypes.
The many faces of anxiety-neurobiological correlates of anxiety phenotypes.
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DOI：
10.1016/j.pscychresns.2015.08.013
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发表时间：
2015-10-30
影响因子：
11.3
通讯作者：
Aizenstein H
中科院分区：
文献类型：
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作者：
Andreescu C;Mennin D;Tudorascu D;Sheu LK;Walker S;Banihashemi L;Aizenstein H
焦虑是一个包罗万象的概念，包括躯体症状（心悸、头晕、呼吸困难）、情绪和认知因素（负面影响、恐惧、担忧、沉思）和行为因素（如回避）。本研究的目的是研究与焦虑表型（担忧、反刍、躯体焦虑）和负面情绪（神经质）相关的特定神经关联。该研究包括29名焦虑参与者和30名健康对照者。我们分析了基于种子的内在连通性，并在多变量回归模型中使用相关图来描述每种焦虑表型的具体影响，而不受年龄和其他焦虑指标的影响。担忧严重程度与右脑岛前部（RAI）和楔前叶之间的内在连通性增加有独特的相关性。整体焦虑和躯体焦虑与边缘和副边缘结构（杏仁核、PVN和海马体之间的连通性增加）有关，而神经质与边缘和前额叶结构之间的连通性增加有关。一旦我们控制了焦虑的其他临床测量，反刍的严重程度与任何功能连接的测量都没有显著的相关性。焦虑、整体焦虑、躯体焦虑和神经质的测量有明显的“神经特征”。这些结果提倡在分析各种焦虑障碍临床样本的神经基质时采用细粒度方法。
Anxiety is an all-inclusive concept incorporating somatic symptoms (palpitations, dizziness, dyspnea), emotional and cognitive elements (negative affect, fear, worry, rumination) and behavioral components (e.g., avoidance). The aim of this study was to examine the specific neural correlates associated with anxiety phenotypes (worry, rumination, somatic anxiety) and negative affect (neuroticism). Twenty-nine anxious participants and thirty healthy controls were included in the study. We analyzed seed-based intrinsic connectivity and used correlation maps in a multivariable regression model to describe the specific effect of each anxiety phenotype independently of the effects of age and the other measures of anxiety. Worry severity was uniquely correlated with increased intrinsic connectivity between right anterior insula (RAI) and the precuneus. Global and somatic anxiety were associated with the limbic and paralimbic structures (increased connectivity between the amygdala, PVN, and hippocampus), while neuroticism was correlated with increased connectivity between limbic and prefrontal structures. Rumination severity did not correlate significantly with any measures of functional connectivity once we controlled for other clinical measures of anxiety. Measures of worry, global anxiety, somatic anxiety, and neuroticism have distinct ‘neural signatures’. These results advocate for a fine-grain approach when analyzing the neural substrates of clinical samples with various anxiety disorders.