Computational model of striosomal circuit in normal and disordered decision-making
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
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Title |
Computational model of striosomal circuit in normal and disordered decision-making
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Identifier |
https://doi.org/10.7910/DVN/SMKW0I
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Creator |
Beck, Dirk W.
Rakocevic, Lara I. Heaton, Cory N. Davila, Luis D. Drammis, Sabrina M. Hossain, Safa B. Giri, Atanu Salcido, Alexis A. Reyes, Neftali F. Batson, Serina A. Macias, Andrea Y. Vara, Paulina Qingyang, Zhang Umashankar Beck, Shreeya Negishi, Kenichiro Ibanez-Alcala, Rodrigo J. Waller, Graham L. Tyulmankov, Danil Pokojovy, Michael O'Dell, Laura E. Moschak, Travis M. Goosens, Ki A. Friedman, Alexander |
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Publisher |
Harvard Dataverse
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Description |
The striosomal and matrix compartments of the striatum and the regions to which they project are critical in decision-making, including irrational choices, a transdiagnostic symptom across psychiatric disorders. We propose a biologically-realistic computational model that suggests a mechanism for interaction between the striosomes-matrix, direct-indirect pathways, and dopamine-lateral habenula regions during decision-making. Our three-layered model validates experimental results obtained from: circuit recordings during decision-making, physiological recordings from brain slices, and decision-making phenotypes measured on animals and humans. It makes experimentally-testable predictions regarding shifts of circuit balances that create transdiagnostic symptoms across psychiatric disorders including post-traumatic stress disorder and substance abuse. It also explains the distinct role of each circuit component in producing decisions in disordered and non-disordered decision-making states, such as the role of the striosomal circuit in mediating decision-making accuracy and time-to-decision. This theory of mechanistic neural circuit interactions advances understanding of psychiatric disorders and the development of bioinformed treatments.
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Subject |
Medicine, Health and Life Sciences
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Date |
2024-02-21
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Contributor |
Davila, Luis
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