Evidence map›Paper›PMID 38645037›Full record

ArticlebioRxiv : the preprint server for biology2024

More widespread and rigid neuronal representation of reward expectation underlies impulsive choices.

Rhiannon L Cowan, Tyler Davis, Bornali Kundu, Shervin Rahimpour, John D Rolston, Elliot H Smith

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Rhiannon L CowanDepartment of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA.ORCID 0000-0002-8397-960X
Tyler DavisDepartment of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA.
Bornali KunduDepartment of Neurosurgery, University of Missouri, Columbia, MO 65212, USA.ORCID 0000-0002-3613-3695
Shervin RahimpourDepartment of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA.ORCID 0000-0003-2718-181X
John D RolstonDepartment of Neurosurgery, Brigham & Women's Hospital, Harvard Medical School, Boston, MA 02115, USA.ORCID 0000-0002-8843-5468
Elliot H SmithDepartment of Neurosurgery, University of Utah, Salt Lake City, UT 84132, USA.ORCID 0000-0003-4323-4643

Funding

The role of distributional reinforcement learning in human neurons during impulsive choicesR01MH128187 · NIMH · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI Elliot H Smith · 2022 to 2026
$2.4M
NIMH NIH HHS R01 MH128187
6 · The paper itself

Abstract

Impulsive choices prioritize smaller, more immediate rewards over larger, delayed, or potentially uncertain rewards. Impulsive choices are a critical aspect of substance use disorders and maladaptive decision-making across the lifespan. Here, we sought to understand the neuronal underpinnings of expected reward and risk estimation on a trial-by-trial basis during impulsive choices. To do so, we acquired electrical recordings from the human brain while participants carried out a risky decision-making task designed to measure choice impulsivity. Behaviorally, we found a reward-accuracy tradeoff, whereby more impulsive choosers were more accurate at the task, opting for a more immediate reward while compromising overall task performance. We then examined how neuronal populations across frontal, temporal, and limbic brain regions parametrically encoded reinforcement learning model variables, namely reward and risk expectation and surprise, across trials. We found more widespread representations of reward value expectation and prediction error in more impulsive choosers, whereas less impulsive choosers preferentially represented risk expectation. A regional analysis of reward and risk encoding highlighted the anterior cingulate cortex for value expectation, the anterior insula for risk expectation and surprise, and distinct regional encoding between impulsivity groups. Beyond describing trial-by-trial population neuronal representations of reward and risk variables, these results suggest impaired inhibitory control and model-free learning underpinnings of impulsive choice. These findings shed light on neural processes underlying reinforced learning and decision-making in uncertain environments and how these processes may function in psychiatric disorders.

Indexed as

addictiondecision-makingelectrocorticographyimpulsive choiceprediction errorReinforcement learningrewardrisk behavioruncertainty

Identifiers

PMID38645037
PMCPMC11030340

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.