Neural substrates of parallel devaluation-sensitive and devaluation-insensitive Pavlovian learning in humans

Eva R. Pool (), Wolfgang M. Pauli, Logan Cross and John P. O’Doherty
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Eva R. Pool: University of Geneva
Wolfgang M. Pauli: California Institute of Technology
Logan Cross: California Institute of Technology
John P. O’Doherty: California Institute of Technology

Nature Communications, 2023, vol. 14, issue 1, 1-17

Abstract: Abstract We aim to differentiate the brain regions involved in the learning and encoding of Pavlovian associations sensitive to changes in outcome value from those that are not sensitive to such changes by combining a learning task with outcome devaluation, eye-tracking, and functional magnetic resonance imaging in humans. Contrary to theoretical expectation, voxels correlating with reward prediction errors in the ventral striatum and subgenual cingulate appear to be sensitive to devaluation. Moreover, regions encoding state prediction errors appear to be devaluation insensitive. We can also distinguish regions encoding predictions about outcome taste identity from predictions about expected spatial location. Regions encoding predictions about taste identity seem devaluation sensitive while those encoding predictions about an outcome’s spatial location seem devaluation insensitive. These findings suggest the existence of multiple and distinct associative mechanisms in the brain and help identify putative neural correlates for the parallel expression of both devaluation sensitive and insensitive conditioned behaviors.

Date: 2023
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DOI: 10.1038/s41467-023-43747-5

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