A common brain network among state, trait, and pathological anxiety from whole-brain functional connectivity

被引:46
|
作者
Takagi, Yu [1 ,2 ]
Sakai, Yuki [1 ,3 ]
Abe, Yoshinari [3 ]
Nishida, Seiji [3 ]
Harrison, Ben J. [4 ]
Martinez-Zalacain, Ignacio [5 ]
Soriano-Mas, Carles [5 ,6 ,7 ]
Narumoto, Jin [3 ]
Tanaka, Saori C. [1 ]
机构
[1] ATR Brain Informat Commun Res Lab Grp, Kyoto, Japan
[2] Nara Inst Sci & Technol, Grad Sch Informat Sci, Nara, Japan
[3] Kyoto Prefectural Univ Med, Grad Sch Med Sci, Dept Psychiat, Kyoto, Japan
[4] Univ Melbourne & Melbourne Hlth, Melbourne Neuropsychiat Ctr, Dept Psychiat, Melbourne, Vic, Australia
[5] IDIBELL, Bellvitge Biomed Res Inst, Dept Psychiat, Barcelona, Spain
[6] Ctr Invest Biomed Red Salud Mental CIBERSAM, Barcelona, Spain
[7] Univ Autonoma Barcelona, Dept Psychobiol & Methodol Hlth Sci, Barcelona, Spain
关键词
Functional connectivity fMRI; Dimensional psychiatry; Anxiety; Data-driven approach; Machine learning; Human connectome project; OBSESSIVE-COMPULSIVE DISORDER; INDEPENDENT COMPONENT ANALYSIS; MULTIVARIATE PATTERN-ANALYSIS; GENERALIZED SOCIAL PHOBIA; ORBITOFRONTAL CORTEX; SYMPTOM PROVOCATION; HEAD MOTION; FMRI; INDIVIDUALS; AMYGDALA;
D O I
10.1016/j.neuroimage.2018.01.080
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
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.
引用
收藏
页码:506 / 516
页数:11
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