Publications by authors named "Michaela Buerge"

Serotonin (5-HT), via its receptors expressed in discrete brain regions, modulates aversion and reward processing and is implicated in various psychiatric disorders including depression. Stressful experiences affect central serotonergic activity and act as a risk factor for depression; this can be modelled preclinically. In adult male C57BL/6J mice, 15-day chronic social stress (CSS) leads to depression-relevant behavioural states, including increased aversion and reduced reward sensitivity.

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Hallucinogenic agents have been proposed as potent antidepressants; this includes the serotonin (5-HT) receptor 2A agonist psilocybin. In human subjects, psilocybin alters functional connectivity (FC) within the default-mode network (DMN), a constellation of inter-connected regions that displays altered FC in depressive disorders. In this study, we investigated the effects of psilocybin on FC across the entire brain with a view to investigate underlying mechanisms.

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Psychosocial stress is a major risk factor for depression, stress leads to peripheral and central immune activation, immune activation is associated with blunted dopamine (DA) neural function, DA function underlies reward interest, and reduced reward interest is a core symptom of depression. These states might be inter-independent in a complex causal pathway. Whilst animal-model evidence exists for some specific steps in the pathway, there is currently no animal model in which it has been demonstrated that social stress leads to each of these immune, neural and behavioural states.

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Article Synopsis
  • Functional connectivity (FC) from resting-state fMRI helps researchers study how different brain regions interact, but most studies have treated these interactions as stable over time.
  • Recent attention has shifted towards dynamic functional connectivity (dFC), especially in human studies, and applying this concept to mice can reveal the underlying mechanisms of brain network dynamics.
  • The study used social stress and anesthesia as case examples, finding that different dynamic functional states (dFS) showed significant variability and reproducibility, indicating they are important for understanding brain function in both healthy and stressed conditions.
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