Evidence map›Paper›PMID 36573422›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Distinct neural activations correlate with maximization of reward magnitude versus frequency.

Pragathi Priyadharsini Balasubramani, Juan Diaz-Delgado, Gillian Grennan, Fahad Alim, Mariam Zafar-Khan, Vojislav Maric, Dhakshin Ramanathan, Jyoti Mishra

Open access · greenAbstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

8 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
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

8 authors at 1 institution in 2 countries.

Pragathi Priyadharsini BalasubramaniNeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.ORCID 0000-0003-2836-6429
Juan Diaz-DelgadoNeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Gillian GrennanNeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Fahad AlimNeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Mariam Zafar-KhanNeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Vojislav MaricNeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Dhakshin RamanathanNeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
Jyoti MishraNeural Engineering and Translation Labs, Department of Psychiatry, University of California, San Diego, La Jolla, CA, United States.
University of California San Diego · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Choice selection strategies and decision-making are typically investigated using multiple-choice gambling paradigms that require participants to maximize expected value of rewards. However, research shows that performance in such paradigms suffers from individual biases towards the frequency of gains such that users often choose smaller frequent gains over larger rarely occurring gains, also referred to as melioration. To understand the basis of this subjective tradeoff, we used a simple 2-choice reward task paradigm in 186 healthy human adult subjects sampled across the adult lifespan. Cortical source reconstruction of simultaneously recorded electroencephalography suggested distinct neural correlates for maximizing reward magnitude versus frequency. We found that activations in the parahippocampal and entorhinal areas, which are typically linked to memory function, specifically correlated with maximization of reward magnitude. In contrast, maximization of reward frequency was correlated with activations in the lateral orbitofrontal cortices and operculum, typical areas involved in reward processing. These findings reveal distinct neural processes serving reward frequency versus magnitude maximization that can have clinical translational utility to optimize decision-making.

Indexed as

GamblingPrefrontal CortexAdultDecision MakingElectroencephalographyHumansRewardentorhinal cortexmeliorationmemoryorbitofrontal cortexreward expected value

Identifiers

PMID36573422
PMCPMC10422923
OpenAlexW4312210611

What OpenQuestion holds

Textmetadata
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.