Electrical brain activations in young children during a probabilistic reward-learning task are associated with behavioral strategy
Chung, Y. S.; van den Berg, B.; Roberts, K. C.; Woldorff, M. G.; Gaffrey, M. S.
Show abstract
Both adults and children learn through feedback which environmental events and choices are associated with higher probability of reward, an ability thought to be supported by the development of fronto-striatal reward circuits. Recent developmental studies have applied computational models of reward learning to investigate such learning in children. However, tasks and measures effective for assaying the cascade of reward-learning neural processes in children have been limited. Using a child-version of a probabilistic reward-learning task while recording event-related-potential (ERP) measures of electrical brain activity, this study examined key processes of reward learning in preadolescents (8-12 years old; n=30), namely: (1) reward-feedback sensitivity, as measured by the early-latency, reward-related, frontal ERP positivity, (2) rapid attentional shifting of processing toward favored visual stimuli, as measured by the N2pc component, and (3) longer-latency attention-related responses to reward feedback as a function of behavioral strategies (i.e., Win-Stay-Lose-Shift), as measured by the central-parietal P300. Consistent with our prior work in adults, the behavioral findings indicate preadolescents can learn stimulus-reward outcome associations, but at varying levels of performance. Neurally, poor preadolescent learners (those with slower learning rates) showed greater reward-related positivity amplitudes relative to good learners, suggesting greater reward-feedback sensitivity. We also found attention shifting towards to-be-chosen stimuli, as evidenced by the N2pc, but not to more highly rewarded stimuli as we have observed in adults. Lastly, we found the behavioral learning strategy (i.e., Win-Stay-Lose-Shift) reflected by the feedback-elicited parietal P300. These findings provide novel insights into the key neural processes underlying reinforcement learning in preadolescents.
Matching journals
The top 6 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- The development of attentional control mechanisms in multisensory environments 96%
- Growing Minds, Integrating Senses: Neural and Computational Insights into Age-related Changes in Audio-Visual and Tactile-Visual Learning in Children 95%
- Increased ventromedial prefrontal cortex activity in adolescence benefits prosocial reinforcement learning 95%
Similar papers in this journal
Similar papers in this journal
- Repetition Attenuates the Influence of Recency on Recognition Memory: Behavioral and Electrophysiological Evidence 96%
- Reconsidering electrophysiological markers of response inhibition in light of trigger failures in the stop-signal task 96%
- Enhanced Working Memory Representations for Rare Events 96%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.