SummaryThe prefrontal cortex (PFC) receives substantial anatomical input from the amygdala, and these two structures have long been implicated in reward-related learning and decision making. Yet little is known about how these regions interact, especially in humans. We investigated the contribution of the amygdala to reward-related signals in PFC by scanning two rare subjects with focal bilateral amygdala lesions using fMRI. The subjects performed a reversal learning task in which they first had to learn which of two choices was the more rewarding, and then flexibly switch their choices when contingencies changed. Compared with healthy controls, both amygdala lesion subjects showed a profound change in ventromedial prefrontal cortex (vmPFC)...
Making good decisions and adapting flexibly to environmental change are critical to the survival of ...
To make an appropriate decision, one must anticipate potential future rewarding events, even when th...
Reward-guided decision-making and learning depends on distributed neural circuits with many componen...
The prefrontal cortex (PFC) receives substantial anatomical input from the amygdala, and these two s...
SummaryWe examined the contribution of the amygdala to value signals within orbital prefrontal corte...
Reward-guided decision-making and learning depends on distributed neural circuits with many componen...
The functions of prefrontal cortex remain enigmatic, especially for its anterior sectors, putatively...
Many real-life decision-making problems incorporate higher-order structure, involving interdependenc...
Adaptive reward-related decision making requires accurate prospective consideration of the specific ...
Making good decisions and adapting flexibly to environmental change are critical to the survival of ...
Adaptive reward-related decision making requires accurate prospective consideration of the specific ...
A growing consensus suggests that the brain makes simple choices by assigning values to the stimuli ...
Reward-guided decision-making and learning depends on distributed neural circuits with many componen...
In the last years research on emotion focused on the role of amygdala-orbitofrontal loops in learnin...
To make an appropriate decision, one must anticipate potential future rewarding events, even when th...
Making good decisions and adapting flexibly to environmental change are critical to the survival of ...
To make an appropriate decision, one must anticipate potential future rewarding events, even when th...
Reward-guided decision-making and learning depends on distributed neural circuits with many componen...
The prefrontal cortex (PFC) receives substantial anatomical input from the amygdala, and these two s...
SummaryWe examined the contribution of the amygdala to value signals within orbital prefrontal corte...
Reward-guided decision-making and learning depends on distributed neural circuits with many componen...
The functions of prefrontal cortex remain enigmatic, especially for its anterior sectors, putatively...
Many real-life decision-making problems incorporate higher-order structure, involving interdependenc...
Adaptive reward-related decision making requires accurate prospective consideration of the specific ...
Making good decisions and adapting flexibly to environmental change are critical to the survival of ...
Adaptive reward-related decision making requires accurate prospective consideration of the specific ...
A growing consensus suggests that the brain makes simple choices by assigning values to the stimuli ...
Reward-guided decision-making and learning depends on distributed neural circuits with many componen...
In the last years research on emotion focused on the role of amygdala-orbitofrontal loops in learnin...
To make an appropriate decision, one must anticipate potential future rewarding events, even when th...
Making good decisions and adapting flexibly to environmental change are critical to the survival of ...
To make an appropriate decision, one must anticipate potential future rewarding events, even when th...
Reward-guided decision-making and learning depends on distributed neural circuits with many componen...