Choice-relevant information transformation along a ventrodorsal axis in the medial prefrontal cortex

David J.-N. Maisson (), Tyler V. Cash-Padgett, Maya Z. Wang, Benjamin Y. Hayden, Sarah R. Heilbronner and Jan Zimmermann
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David J.-N. Maisson: University of Minnesota
Tyler V. Cash-Padgett: University of Minnesota
Maya Z. Wang: University of Minnesota
Benjamin Y. Hayden: University of Minnesota
Sarah R. Heilbronner: University of Minnesota
Jan Zimmermann: University of Minnesota

Nature Communications, 2021, vol. 12, issue 1, 1-14

Abstract: Abstract Choice-relevant brain regions in prefrontal cortex may progressively transform information about options into choices. Here, we examine responses of neurons in four regions of the medial prefrontal cortex as macaques performed two-option risky choices. All four regions encode economic variables in similar proportions and show similar putative signatures of key choice-related computations. We provide evidence to support a gradient of function that proceeds from areas 14 to 25 to 32 to 24. Specifically, we show that decodability of twelve distinct task variables increases along that path, consistent with the idea that regions that are higher in the anatomical hierarchy make choice-relevant variables more separable. We also show progressively longer intrinsic timescales in the same series. Together these results highlight the importance of the medial wall in choice, endorse a specific gradient-based organization, and argue against a modular functional neuroanatomy of choice.

Date: 2021
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DOI: 10.1038/s41467-021-25219-w

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