ArticleScientific reports2022
Dorsolateral prefrontal cortex plays causal role in probability weighting during risky choice.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Article
- Are older adults more deceived by false advertising? Evidence from intra- and inter-brain connectivity in the prefrontal cortex during face-to-face deceptive sales.Social cognitive and affective neuroscience · 2025Article
- Prefrontal Oxygenation in a Subjective Decision on a Situational Danger Assessment Task: Personality Traits and Decision-Making Styles Involvement.Behavioral sciences (Basel, Switzerland) · 2025Article
- TMS-EEG evidence links random exploration to inhibitory mechanisms in the dorsolateral prefrontal cortex.Scientific reports · 2025Article
- Structural connectome manifold changes related to body mass index and their associations with eating psychopathology.NeuroImage. Clinical · 2025Article
- A causal role of the right dorsolateral prefrontal cortex in random exploration.Scientific reports · 2024Article
- Human risk taking and metabolic state: No credible evidence for desacyl-ghrelin modulation of neural or behavioural effects.Imaging neuroscience (Cambridge, Mass.)Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we provide causal evidence that the dorsolateral prefrontal cortex (DLPFC) supports the computation of subjective value in choices under risk via its involvement in probability weighting. Following offline continuous theta-burst transcranial magnetic stimulation (cTBS) of the DLPFC subjects (N = 30, mean age 23.6, 56% females) completed a computerized task consisting of 96 binary lottery choice questions presented in random order. Using the hierarchical Bayesian modeling approach, we then estimated the structural parameters of risk preferences (the degree of risk aversion and the curvature of the probability weighting function) and analyzed the obtained posterior distributions to determine the effect of stimulation on model parameters. On a behavioral level, temporary downregulation of the left DLPFC excitability through cTBS decreased the likelihood of choosing an option with higher expected reward while the probability of choosing a riskier lottery did not significantly change. Modeling the stimulation effects on risk preference parameters showed anecdotal evidence as assessed by Bayes factors that probability weighting parameter increased after the left DLPFC TMS compared to sham.
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Registered trials
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.