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- W4367295870 abstract "Abstract The brain’s default mode network has a central role in the processing of information concerning oneself. Dysfunction in this self-referential processing represents a key component of multiple mental health conditions, including social anxiety disorder (SAD). This study aimed to clarify alterations to network dynamics present during self-appraisal in SAD participants. Thirty-eight adolescents and young adults with SAD and 72 healthy control participants underwent a self-referential processing fMRI task. The task involved two primary conditions of interest: direct self-appraisal (thinking about oneself) and reflected self-appraisal (thinking about how others might think about oneself). Dynamic causal modelling and parametric empirical Bayes were then used to explore differences in the effective connectivity of the default mode network between groups. We observed connectivity differences between SAD and healthy control participants in the reflected self-appraisal but not the direct self-appraisal condition. Specifically, SAD participants exhibited greater excitatory connectivity from the posterior cingulate cortex (PCC) to medial prefrontal cortex (MPFC) and greater inhibitory connectivity from the inferior parietal lobule (IPL) to MPFC. In contrast, in the absence of task modulation, SAD participants exhibited reduced intrinsic connectivity, with reduced excitatory connectivity from the PCC to MPFC and reduced inhibitory connectivity from the IPL to MPFC. Participants with SAD showed changes to MPFC inputs that occurred during reflected self-appraisal that were also present intrinsically. The presence of connectivity differences in reflected and not direct self-appraisal is consistent with the characteristic fear of negative social evaluation that is experienced by people with SAD." @default.
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- W4367295870 date "2023-04-28" @default.
- W4367295870 modified "2023-09-26" @default.
- W4367295870 title "A Brain Model of Disturbed Self-Appraisal in Social Anxiety Disorder" @default.
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- W4367295870 doi "https://doi.org/10.1101/2023.04.26.537105" @default.
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