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Anxious brain networks: A coordinate-based activation likelihood estimation meta-analysis of resting-state functional connectivity studies in anxiety

期刊

NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS
卷 96, 期 -, 页码 21-30

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.neubiorev.2018.11.005

关键词

Anxiety; Anxiety disorders; Resting-state; Functional brain networks; Activation likelihood estimation; Meta-analysis

资金

  1. National Natural Science Foundation of China [31530031, 31500920, 31871137, 31571124, 81471376, 31700959, 31671133]
  2. National Basic Research Program of China (973 Program) [2014CB744600, 2011CB711000]
  3. Zhujiang Talent Project for Postdoctoral researchers, Guangdong young Innovative Talent Project [2016KQNCX149]
  4. Natural Science Foundation of Shenzhen University [85303[HYPHEN]00000275]
  5. Shenzhen Science and Technology Research Funding Program [JCYJ20170412164413575]
  6. Shenzhen Peacock Program [827[HYPHEN]000235, KQTD2015033016104926]

向作者/读者索取更多资源

Anxiety and anxiety disorders are associated with specific alterations to functional brain networks, including intra-networks and inter-networks. Given the heterogeneity within anxiety disorders and inconsistencies in functional network differences across studies, identifying common patterns of altered brain networks in anxiety is imperative. Here, we conducted an activation likelihood estimation meta-analysis of resting-state functional connectivity studies in anxiety and anxiety disorders (including 835 individuals with different levels of anxiety or anxiety disorders and 508 controls). Results show that anxiety can be characterized by hypo-connectivity of the affective network with executive control network (ECN) and default mode network (DMN), as well as de coupling of the ECN with the DMN. The connectivity within the salience network and its connectivity with sensorimotor network are also attenuated. These results reveal consistent dysregulations of affective and cognitive control related networks over networks related to emotion processing in anxiety and anxiety disorders. The current findings provide an empirical foundation for an integrated model of brain network alterations that are common across anxiety and anxiety disorders.

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