4.2 Article

Abnormal functional connectivity of brain regions associated with fear network model in panic disorder

期刊

WORLD JOURNAL OF BIOLOGICAL PSYCHIATRY
卷 23, 期 10, 页码 764-772

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/15622975.2022.2038389

关键词

Panic disorder; resting-state functional connectivity; fear network model; thalamus

资金

  1. Shanghai Municipal Health Commission [2019ZB0201]
  2. Shanghai Mental Health Center [2019-YJ12]

向作者/读者索取更多资源

The study investigated abnormal brain regions in patients with panic disorder (PD) and found increased thalamic resting-state functional connectivity (rsFC) with the insula, which was significantly correlated with HAMA-somatic score. The advanced fear network model (FNM) may provide a more comprehensive explanation for PD.
Background: Patients with panic disorder (PD) have an abnormal function in brain regions related to fear network is well recognised. However, the traditional fear network model (FNM) which was based on animals' horrible behaviours has been found that it's not enough to explain the pathological mechanism of PD. This study aims to explore brain regions' abnormalities in the new advanced FNM, and estimate whether it can better explain PD. Methods: Magnetic resonance imaging resting-state scans were acquired in 40 patients with PD (35 drug-naive and 5 drug-free) and 40 healthy controls (HCs). Twelve brain regions in the advanced FNM were chosen as regions of interest (ROIs) to examine the group difference in the ROIs and whole-brain resting-state functional connectivity (rsFC). Results: We found significantly increased thalamic rsFC with the insula, compared with HCs. And it was significantly correlated with HAMA-somatic score. We also found increased thalamic rsFC with occipital gyrus, temporal gyrus, and frontal gyrus when compared with HCs. Conclusions: Taken together, PD patients exhibit abnormal rsFC alterations within the advanced FNM, especially the increased rsFC within thalamus-insula loop, suggesting that excessive sensitivity to external information plays an important role in PD. The advanced FNM may provide a fuller explanation about PD.

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