Evidence map›Paper›PMID 40009609›Full record

ArticlePLoS computational biology2025

Noradrenergic and Dopaminergic modulation of meta-cognition and meta-control.

Sara Ershadmanesh, Sahar Rajabi, Reza Rostami, Rani Moran, Peter Dayan

Abstract read
In one paragraph

Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

5 authors.

Sara ErshadmaneshDepartment of Computational Neuroscience, MPI for Biological Cybernetics, Tuebingen, Germany.ORCID 0000-0003-2637-1953
Sahar RajabiCognitive Systems Laboratory, School of Electrical and Computer Engineering, University of Tehran, Tehran, Iran.
Reza RostamiDepartment of Psychology, University of Tehran, Tehran, Iran.ORCID 0000-0001-9318-108X
Rani MoranMax Planck/UCL Centre for Computational Psychiatry and Ageing Research, London, United Kingdom.ORCID 0000-0002-7641-2402
Peter DayanDepartment of Computational Neuroscience, MPI for Biological Cybernetics, Tuebingen, Germany.

Funding

Humboldt FoundationMax Planck Society
6 · The paper itself

Abstract

Humans and animals use multiple control systems for decision-making. This involvement is subject to meta-cognitive regulation - as a form of control over control or meta-control. However, the nature of this meta-control is unclear. For instance, Model-based (MB) control may be boosted when decision-makers generally lack confidence as it is more statistically efficient; or it may be suppressed, since the MB controller can correctly assess its own unreliability. Since control and metacontrol are themselves subject to the influence of neuromodulators, we examined the effects of perturbing the noradrenergic (NE) and dopaminergic (DA) systems with propranolol and L-DOPA, respectively. We first administered a simple perceptual task to examine the effects of the manipulations on meta-cognitive ability. Using Bayesian analyses, we found that 81% of group M-ratio samples were lower under propranolol relative to placebo, suggesting a decrease of meta-cognitive ability; and 60% of group M-ratio samples were higher under L-DOPA relative to placebo, considered as no effect of L-DOPA on meta-cognitive ability . We then asked subjects to provide choices and confidence ratings in a two-outcome decision-making task that has been used to dissociate Model-free (MF) and MB control. MB behavior was enhanced by propranolol, while MF behavior was not significantly affected by either drug. The interaction between confidence and MF/MB behavior was highly variable under propranolol, but under L-DOPA, the interaction was significantly lower/higher relative to placebo. Our results suggest a decrease in metacognitive ability under the influence of propranolol and an enhancement of MB behavior and meta-control under the influence of propranolol and L-DOPA, respectively. These findings shed light on the role of NE and DA in different aspects of control and meta-control and suggest potential avenues for mitigating dysfunction.

Indexed as

CognitionDecision MakingDopamineNorepinephrineAdultBayes TheoremFemaleHumansLevodopaMalePropranololYoung AdultDopamineLevodopaNorepinephrinePropranolol

Identifiers

PMID40009609
PMCPMC11903042

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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.