Stability or Plasticity? - A Hierarchical Allostatic Regulation Model of Medial Prefrontal Cortex Function for Social Valuation
- Authors
- Kim, Hackjin
- Issue Date
- 31-3월-2020
- Publisher
- FRONTIERS MEDIA SA
- Keywords
- thalamic reticular nucleus; insula; allostasis; interoception; decision-making; prosociality; self-enhancement
- Citation
- FRONTIERS IN NEUROSCIENCE, v.14
- Indexed
- SCIE
SCOPUS
- Journal Title
- FRONTIERS IN NEUROSCIENCE
- Volume
- 14
- URI
- https://scholar.korea.ac.kr/handle/2021.sw.korea/56903
- DOI
- 10.3389/fnins.2020.00281
- ISSN
- 1662-4548
- Abstract
- The medial prefrontal cortex (mPFC) has long been recognized as the key component of the neurocircuitry involved in various social as well as non-social behaviors, however, little is known regarding the organizing principle of distinctive subregions in the mPFC that integrates a wide range of mPFC functions. The present study proposes a hierarchical model of mPFC functionality, where three functionally dissociable subregions, namely, the ventromedial prefrontal cortex (vmPFC), rostromedial prefrontal cortex (rmPFC), and dorsomedial prefrontal cortex (dmPFC), are differentially involved in computing values of decision-making. According to this model, the mPFC subregions interact with each other in such a way that more dorsal regions utilize additional external sensory information from environment to predict and prevent conflicts occurring in more ventral regions tuned to internal bodily signals, thereby exerting the hierarchically organized allostatic regulatory control over homeostatic reflexes. This model also emphasizes the role of the thalamic reticular nucleus (TRN) in arbitrating the transitions between different thalamo-cortical loops, detecting conflicts between competing options for decision-making, and in shifting flexibly between decision modes. The hierarchical architecture of the mPFC working in conjunction with the TRN may play a key role in adjusting the internal (bodily) needs to suit the constraints of external (environmental) variables better, thus effectively addressing the stability-plasticity dilemma.
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