Isabel M. Berwian

The paper shows that reduced frontal alpha asymmetry during sad mood induction predicts antidepressant relapse after medication discontinuation.

This paper shows that modular agents, composed of subagents for distinct needs, outperform monolithic agents in maintaining homeostasis in changing environments.

The paper investigates how changes in resting-state functional connectivity predict depression relapse after antidepressant discontinuation, finding that increased connectivity between the dorsolateral prefrontal cortex and parietal cortex is associated with relapse risk.

The paper evaluates predictors of relapse after antidepressant discontinuation using clinical data and finds that standard clinical variables have low predictive power.