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Activity of Prefrontal Neurons Predict Future Choices during Gambling.

Authors :
Passecker, Johannes
Mikus, Nace
Malagon-Vina, Hugo
Anner, Philip
Dimidschstein, Jordane
Fishell, Gordon
Dorffner, Georg
Klausberger, Thomas
Source :
Neuron. Jan2019, Vol. 101 Issue 1, p152-152. 1p.
Publication Year :
2019

Abstract

Summary Neuronal signals in the prefrontal cortex have been reported to predict upcoming decisions. Such activity patterns are often coupled to perceptual cues indicating correct choices or values of different options. How does the prefrontal cortex signal future decisions when no cues are present but when decisions are made based on internal valuations of past experiences with stochastic outcomes? We trained rats to perform a two-arm bandit-task, successfully adjusting choices between certain-small or possible-big rewards with changing long-term advantages. We discovered specialized prefrontal neurons, whose firing during the encounter of no-reward predicted the subsequent choice of animals, even for unlikely or uncertain decisions and several seconds before choice execution. Optogenetic silencing of the prelimbic cortex exclusively timed to encounters of no reward, provoked animals to excessive gambling for large rewards. Firing of prefrontal neurons during outcome evaluation signals subsequent choices during gambling and is essential for dynamically adjusting decisions based on internal valuations. Highlights • Activity of prelimbic neurons predict upcoming decisions during gambling • Future choice –predictive firing occurs during evaluation of current outcome • Time-specific inactivation of prelimbic cortex increases high-risk gambling behavior • Prelimbic neurons contribute to adjusting decisions based on internal valuations Passecker et al. show that specialized neurons in the prelimbic cortex of rats predict the next choice during the outcome evaluation in a gambling task, even for unlikely or uncertain decisions. Disrupting the prelimbic cortex led to excessive risk taking. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08966273
Volume :
101
Issue :
1
Database :
Academic Search Index
Journal :
Neuron
Publication Type :
Academic Journal
Accession number :
133749455
Full Text :
https://doi.org/10.1016/j.neuron.2018.10.050