Top-down threat bias in pain perception is predicted by intrinsic structural and functional connections of the brain

Autor: Guillermo Aristi, Christopher O'Grady, Chris Bowen, Steven Beyea, Sara W. Lazar, Javeria Ali Hashmi
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: NeuroImage, Vol 258, Iss , Pp 119349- (2022)
Druh dokumentu: article
ISSN: 1095-9572
DOI: 10.1016/j.neuroimage.2022.119349
Popis: Top-down processes such as expectations play a key role in pain perception. In specific contexts, inferred threat of impending pain can affect perceived pain more than the noxious intensity. This biasing effect of top-down threats can affect some individuals more strongly than others due to differences in fear of pain. The specific characteristics of intrinsic brain characteristics that mediate the effects of top-down threat bias are mainly unknown. In this study, we examined whether threat bias is associated with structural and functional brain connectivity. The variability in the top-down bias was mapped to the microstructure of white matter in diffusion weighted images (DWI) using MRTrix3. Mean functional connectivity of five canonical resting state networks was tested for association with bias scores and with the identified DWI metrics. We found that the fiber density of the splenium of the corpus callosum was significantly low in individuals with high top-down threat bias (FWE corrected with 5000 permutations, p
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