Neuropsychopharmacology - Translating macaque frontopolar cortex discoveries into psychiatric treatments

The Reward Positivity (RewP) is an electroencephalogram (EEG) feature that emerges following performance feedback and is commonly understood to index both positive and negative reward-prediction error (RPE+ and RPE−, respectively) signals. In contrast to this dominant perspective, we argue that the RewP is an independent EEG feature that selectively responds to positive RPE and is superimposed on a common background signal. We further propose that the RewP signals a goal prediction error: it is elicited by abstract signals instead of by hedonic 'rewards'. This goal prediction error appears to be produced by a critic-like architecture that is associated with the actor–critic framework in reinforcement learning. This perspective emphasizes the role of the RewP in goal attainment and cognitive control as opposed to being a simple indicator of reward receipt.

Antidepressant treatment shouldn't be a guessing game. RELMED is working towards using advanced research to predict which medication is most likely to help each person along their individual path to recovery.

Mortality is increased in Parkinson’s disease (PD) and is difficult to predict because of its heterogeneity and the availability of few reliable progn…

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The past decade has seen a massive shift in neuroimaging toward analysis of resting-state data collected from very large samples. That approach has key strengths, but task-based neuroimaging in smalle...

Executive functions are often impaired in patients with Parkinson’s disease (PD), and these deficits can be predicted by decreased frontal cortical 4-…