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Anterior-posterior gradient of plasticity in primate prefrontal cortex

Author

Listed:
  • Mitchell R. Riley

    (Medical Center Blvd
    Vanderbilt University)

  • Xue-Lian Qi

    (Medical Center Blvd)

  • Xin Zhou

    (Stanford University)

  • Christos Constantinidis

    (Medical Center Blvd)

Abstract

The functional organization of the primate prefrontal cortex has been a matter of debate with some models speculating dorso-ventral and rostro-caudal specialization while others suggesting that information is represented dynamically by virtue of plasticity across the entire prefrontal cortex. To address functional properties and capacity for plasticity, we recorded from different prefrontal sub-regions and analyzed changes in responses following training in a spatial working memory task. This training induces more pronounced changes in anterior prefrontal regions, including increased firing rate during the delay period, selectivity, reliability, information for stimuli, representation of whether a test stimulus matched the remembered cue or not, and variability and correlation between neurons. Similar results are obtained for discrete subdivisions or when treating position along the anterior-posterior axis as a continuous variable. Our results reveal that anterior aspects of the lateral prefrontal cortex of non-human primates possess greater plasticity based on task demands.

Suggested Citation

  • Mitchell R. Riley & Xue-Lian Qi & Xin Zhou & Christos Constantinidis, 2018. "Anterior-posterior gradient of plasticity in primate prefrontal cortex," Nature Communications, Nature, vol. 9(1), pages 1-14, December.
    • Handle: RePEc:nat:natcom:v:9:y:2018:i:1:d:10.1038_s41467-018-06226-w
    DOI: 10.1038/s41467-018-06226-w
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    Cited by:

    1. Shusen Pu & Wenhao Dang & Xue-Lian Qi & Christos Constantinidis, 2024. "Prefrontal neuronal dynamics in the absence of task execution," Nature Communications, Nature, vol. 15(1), pages 1-13, December.
    2. David M Alexander & Tonio Ball & Andreas Schulze-Bonhage & Cees van Leeuwen, 2019. "Large-scale cortical travelling waves predict localized future cortical signals," PLOS Computational Biology, Public Library of Science, vol. 15(11), pages 1-34, November.

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