Evidence map›Paper›PMID 32423530›Full record

ArticleeLife2020

Alterations in the amplitude and burst rate of beta oscillations impair reward-dependent motor learning in anxiety.

Sebastian Sporn, Thomas Hein, Maria Herrojo Ruiz

Open access · goldAbstract read
In one paragraph

Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
3.5field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 58 citations in OpenAlex.

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  7. Bayesian Workflow for Generative Modeling in Computational Psychiatry.Computational psychiatry (Cambridge, Mass.) · 2025
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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

3 authors at 2 institutions in 2 countries.

Sebastian SpornSchool of Psychology, University of Birmingham, Birmingham, United Kingdom.
Thomas HeinDepartment of Psychology, Goldsmiths University of London, London, United Kingdom.
Maria Herrojo RuizDepartment of Psychology, Goldsmiths University of London, London, United Kingdom.ORCID 0000-0001-8948-9444
Goldsmiths University of London · GBNational Research University Higher School of Economics · RU

Funding

British Academy R134610Economic and Social Research Council ES/P00072X/1
6 · The paper itself

Abstract

Anxiety results in sub-optimal motor learning, but the precise mechanisms through which this effect occurs remain unknown. Using a motor sequence learning paradigm with separate phases for initial exploration and reward-based learning, we show that anxiety states in humans impair learning by attenuating the update of reward estimates. Further, when such estimates are perceived as unstable over time (volatility), anxiety constrains adaptive behavioral changes. Neurally, anxiety during initial exploration increased the amplitude and the rate of long bursts of sensorimotor and prefrontal beta oscillations (13-30 Hz). These changes extended to the subsequent learning phase, where phasic increases in beta power and burst rate following reward feedback were linked to smaller updates in reward estimates, with a higher anxiety-related increase explaining the attenuated belief updating. These data suggest that state anxiety alters the dynamics of beta oscillations during reward processing, thereby impairing proper updating of motor predictions when learning in unstable environments.

Indexed as

Beta RhythmLearningMotor SkillsRewardAdolescentAdultAnxietyCase-Control StudiesCerebral CortexFemaleHumansMaleModels, PsychologicalTime FactorsYoung Adultanxietybeta oscillationshumanmotor learningneurosciencereward

Identifiers

PMID32423530
PMCPMC7237220
OpenAlexW3026589461

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.