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Distinct Medial Orbitofrontal–Striatal Circuits Support Dissociable Component Processes of Risk/Reward Decision-Making

2022· article· en· W4210917961 on OpenAlexafffund

Bibliographic record

VenueJournal of Neuroscience · 2022
Typearticle
Languageen
FieldNeuroscience
TopicNeurotransmitter Receptor Influence on Behavior
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health ResearchGovernment of Canada
KeywordsNucleus accumbensAction selectionStriatumMicrostimulationNeuronal firingNeuronal circuitsOrbitofrontal cortexProbabilistic logic

Abstract

fetched live from OpenAlex

The medial orbitofrontal cortex (mOFC) regulates a variety of cognitive functions, including refining action selection involving reward uncertainty. This region sends projections to numerous subcortical targets, including the ventral and dorsal striatum, yet how these corticostriatal circuits differentially regulate risk/reward decision-making is unknown. The present study examined the contribution of mOFC circuits linking the nucleus accumbens (NAc) and dorsomedial striatum (DMS) to risk/reward decision-making using pharmacological disconnections. Male rats were well trained on a probabilistic discounting task involving choice between small/certain or large/risky rewards, with the probability of obtaining the larger reward decreasing or increasing over a session. Disconnection of mOFC-striatal pathways was achieved using infusions of GABA agonists inactivating the mOFC in one hemisphere, combined with NAc or DMS inactivation in the contralateral or ipsilateral hemisphere. Perturbing mOFC → NAc circuits induced suboptimal, near-random patterns of choice that manifested as a flattening of the discounting curve. Animals were equally likely to stay or shift following rewarded/nonrewarded choices, suggesting this pathway mediates use of information about reward history to stabilize decision biases. In contrast, mOFC → DMS disconnection impaired adjustments in decision biases, causing opposing changes in risky choice depending on how probabilities varied over time. This was driven by alterations in lose-shift behavior, suggesting mOFC → DMS circuits track volatility in nonrewarded actions to adjust choice in accordance with changes in profitability. Thus, separate mOFC-striatal projection pathways regulate dissociable processes underlying decision-making, with mOFC → NAc circuits aiding in establishing and stabilizing tasks states and mOFC → DMS circuits facilitating transitions across states to promote flexible reward seeking. SIGNIFICANCE STATEMENTThe medial orbitofrontal cortex regulates a variety of goal-directed behaviors, yet the functional circuits through which it mediates higher order decision-making functions are unclear. The present study revealed that different mOFC projection pathways facilitate diverse aspects of decision-making involving risks and rewards by engaging separate networks of neurons that interface with distinct ventral and dorsal striatal targets. These findings clarify some of the normal functions of these corticostriatal pathways and may have implications for understanding how dysfunction in these circuits relate to certain psychiatric disorders.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.005
Threshold uncertainty score0.010

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.036
GPT teacher head0.306
Teacher spread0.270 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations33
Published2022
Admission routes2
Has abstractyes

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