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Neural Correlates of Effective Learning in Experienced Medical Decision-Makers

Overview of attention for article published in PLOS ONE, November 2011
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Title
Neural Correlates of Effective Learning in Experienced Medical Decision-Makers
Published in
PLOS ONE, November 2011
DOI 10.1371/journal.pone.0027768
Pubmed ID
Authors

Jonathan Downar, Meghana Bhatt, P. Read Montague

Abstract

Accurate associative learning is often hindered by confirmation bias and success-chasing, which together can conspire to produce or solidify false beliefs in the decision-maker. We performed functional magnetic resonance imaging in 35 experienced physicians, while they learned to choose between two treatments in a series of virtual patient encounters. We estimated a learning model for each subject based on their observed behavior and this model divided clearly into high performers and low performers. The high performers showed small, but equal learning rates for both successes (positive outcomes) and failures (no response to the drug). In contrast, low performers showed very large and asymmetric learning rates, learning significantly more from successes than failures; a tendency that led to sub-optimal treatment choices. Consistently with these behavioral findings, high performers showed larger, more sustained BOLD responses to failed vs. successful outcomes in the dorsolateral prefrontal cortex and inferior parietal lobule while low performers displayed the opposite response profile. Furthermore, participants' learning asymmetry correlated with anticipatory activation in the nucleus accumbens at trial onset, well before outcome presentation. Subjects with anticipatory activation in the nucleus accumbens showed more success-chasing during learning. These results suggest that high performers' brains achieve better outcomes by attending to informative failures during training, rather than chasing the reward value of successes. The differential brain activations between high and low performers could potentially be developed into biomarkers to identify efficient learners on novel decision tasks, in medical or other contexts.

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Geographical breakdown

Country Count As %
United States 3 3%
Italy 2 2%
United Kingdom 2 2%
Switzerland 1 <1%
Canada 1 <1%
Luxembourg 1 <1%
Unknown 93 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 22%
Student > Ph. D. Student 15 15%
Student > Bachelor 9 9%
Student > Master 8 8%
Student > Doctoral Student 7 7%
Other 23 22%
Unknown 18 17%
Readers by discipline Count As %
Psychology 31 30%
Medicine and Dentistry 14 14%
Neuroscience 6 6%
Agricultural and Biological Sciences 6 6%
Economics, Econometrics and Finance 4 4%
Other 21 20%
Unknown 21 20%