Large-scale Resting-State Network Dynamics Under Acute Stress
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2021-01-30
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en
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An adaptive response to stressors requires the dynamic regulation of cognitive resources. Animal research shows distinct roles of the physiological hormone cascades involved in the stress response and their spatial-temporal dynamics. The spatial-temporal profile of neural functioning under stress form core nodes in multiple large-scale networks. The aggregation of both animal and human studies has therefore resulted in a model of how these large-scale networks respond to stress, which is postulated to entail the dynamic allocation of processing resources between the Salience, Executive Control, and Default Mode Networks. Here, we test this model using resting state fMRI by contrasting the functional connectivity profiles of these networks after stress induction using the socially evaluated cold pressor task (SECPT) and control conditions in a population of first year (bio-) medical students. We additionally assess whether individualized stress reactivity, as determined by the HPA axis stress response, impacts shifts in these networks after acute stress. The results show decreased functional connectivity of the Executive Control and Default Mode Network with distinct subregions of the cerebellum after stress. No effects of HPA response on these dynamics were found. Our results demonstrate the importance of cerebellar contributions to large-scale network investigations and their functional role in the adaptive stress-response.
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Faculteit der Sociale Wetenschappen