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Characteristics of Intrinsic Functional Connectivity of Amygdalar Subregions in Social Anxiety Disorder  

Kim, Jinseong (Institute of Behavioral Science in Medicine, Yonsei University College of Medicine)
Yoon, Hyung-Jun (Institute of Behavioral Science in Medicine, Yonsei University College of Medicine)
Park, Sunyoung (Department of Psychiatry, Yonsei University Gangnam Severance Hospital)
Shin, Yu-Bin (Institute of Behavioral Science in Medicine, Yonsei University College of Medicine)
Kim, Jae-Jin (Institute of Behavioral Science in Medicine, Yonsei University College of Medicine)
Publication Information
Anxiety and mood / v.10, no.1, 2014 , pp. 44-51 More about this Journal
Abstract
Objective : The amygdala has been considered to be a critical region in the pathophysiology of social anxiety disorder, but subregional connectivity pattern has not been examined yet despite lots of previous functional neuroimaging studies. Methods : Resting-state functional magnetic resonance imaging data was obtained in 19 patients with social anxiety disorder and 20 normal controls, and default mode functional connectivity with each of basolateral, centromedial and superficial areas of the amygdala was measured and compared between the two groups. Results : Differential amygdala-based networks between the two groups were distributed to all over the brain. In particular, however, a bias on the amygdala-cingulate pathway was observed in the superficial amygdala only. Connectivity strengths between the superficial amygdala and perigenual anterior cingulate cortex were correlated with scores of social interaction and avoidance. Conclusion : Our findings provide new insights into understanding of the intrinsic cognitive bias model of social anxiety disorder. An abnormality in superficial amygdala-anterior cingulate connectivity may influence on cognitive processing of socially-relevant information in social anxiety disorder.
Keywords
Social anxiety disorder; Amygdalar subregions; Functional connectivity; Functional magnetic resonance imaging; Cognitive bias;
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