ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan; Graduate School of Information Science, Nara Institute of Science and Technology, Nara, Japan.
ATR Brain Information Communication Research Laboratory Group, Kyoto, Japan; Department of Psychiatry, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Neuroimage. 2018 May 15;172:506-516. doi: 10.1016/j.neuroimage.2018.01.080. Epub 2018 Feb 1.
Anxiety is one of the most common mental states of humans. Although it drives us to avoid frightening situations and to achieve our goals, it may also impose significant suffering and burden if it becomes extreme. Because we experience anxiety in a variety of forms, previous studies investigated neural substrates of anxiety in a variety of ways. These studies revealed that individuals with high state, trait, or pathological anxiety showed altered neural substrates. However, no studies have directly investigated whether the different dimensions of anxiety share a common neural substrate, despite its theoretical and practical importance. Here, we investigated a brain network of anxiety shared by different dimensions of anxiety in a unified analytical framework using functional magnetic resonance imaging (fMRI). We analyzed different datasets in a single scale, which was defined by an anxiety-related brain network derived from whole brain. We first conducted the anxiety provocation task with healthy participants who tended to feel anxiety related to obsessive-compulsive disorder (OCD) in their daily life. We found a common state anxiety brain network across participants (1585 trials obtained from 10 participants). Then, using the resting-state fMRI in combination with the participants' behavioral trait anxiety scale scores (879 participants from the Human Connectome Project), we demonstrated that trait anxiety shared the same brain network as state anxiety. Furthermore, the brain network between common to state and trait anxiety could detect patients with OCD, which is characterized by pathological anxiety-driven behaviors (174 participants from multi-site datasets). Our findings provide direct evidence that different dimensions of anxiety have a substantial biological inter-relationship. Our results also provide a biologically defined dimension of anxiety, which may promote further investigation of various human characteristics, including psychiatric disorders, from the perspective of anxiety.
焦虑是人类最常见的精神状态之一。虽然它促使我们避免可怕的情况并实现目标,但如果变得极端,它也可能带来巨大的痛苦和负担。由于我们以多种形式体验焦虑,以前的研究以多种方式研究了焦虑的神经基础。这些研究表明,具有高状态、特质或病理性焦虑的个体显示出改变的神经基础。然而,尽管具有理论和实际重要性,但没有研究直接调查不同维度的焦虑是否共享共同的神经基础。在这里,我们使用功能磁共振成像 (fMRI) 在统一的分析框架中研究了不同维度的焦虑共享的焦虑脑网络。我们在单一尺度上分析了不同的数据集,该尺度由源自全脑的与焦虑相关的脑网络定义。我们首先在健康参与者中进行了焦虑诱发任务,这些参与者在日常生活中倾向于感到与强迫症 (OCD) 相关的焦虑。我们在参与者中发现了一个共同的状态焦虑脑网络(从 10 名参与者中获得了 1585 次试验)。然后,我们使用静息态 fMRI 并结合参与者的行为特质焦虑量表评分(来自人类连接组计划的 879 名参与者),证明特质焦虑与状态焦虑共享相同的脑网络。此外,共同的状态和特质焦虑之间的脑网络可以检测到具有病理性焦虑驱动行为的强迫症患者(来自多站点数据集的 174 名患者)。我们的研究结果提供了直接证据,表明不同维度的焦虑具有实质性的生物学内在关系。我们的结果还提供了焦虑的生物学定义维度,这可能从焦虑的角度促进对各种人类特征(包括精神障碍)的进一步研究。