Evidence map›Paper›PMID 23571845›Full record

ReviewNature reviews. Neuroscience2013

Power failure: why small sample size undermines the reliability of neuroscience.

Katherine S Button, John P A Ioannidis, Claire Mokrysz, Brian A Nosek, Jonathan Flint, Emma S J Robinson, Marcus R Munafò

Erratum issued Registry-linked trialAbstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. It is linked to trial NCT05276583 (The Role of Memory Consolidation in Negative Memory Biases in Affective Disorders), which is not on this map. Cited by 2,963 papers, 23 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2,963citing papers in PubMed, 23 pooled it
–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.

NCT05276583 unknown statusnot on this mapstarted 2022, after this paper: background citation

The Role of Memory Consolidation in Negative Memory Biases in Affective Disorders

TypeobservationalSponsorCentral Institute of Mental Health, MannheimRan2022 to 2022Enrolled400ConditionsDepressionArmsMotivated Learning Task
3 · Its place in the literature

Who cites it

2,963 citing papers in PubMed, 23 syntheses or guidelines pooled it.

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  4. Auditory Sensitivity in Autism: A Systematic Review of Mismatch Negativity and Mismatch Field Responses.Autism research : official journal of the International Society for Autism Research · 2026
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  13. Brain Proteomic Responses to Glucocorticoids and Their Relationship With Transcriptome: A Systematic Meta-Analysis.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2026
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  16. Bayesian Estimation Improves Prediction of Outcomes After Epilepsy Surgery.Annals of clinical and translational neurology · 2026
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2,903 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors.

Katherine S ButtonSchool of Experimental Psychology, University of Bristol, UK.
John P A Ioannidis
Claire Mokrysz
Brian A Nosek
Jonathan Flint
Emma S J Robinson
Marcus R Munafò

Funding

British Heart FoundationMedical Research CouncilWellcome Trust 090532
6 · The paper itself

Abstract

A study with low statistical power has a reduced chance of detecting a true effect, but it is less well appreciated that low power also reduces the likelihood that a statistically significant result reflects a true effect. Here, we show that the average statistical power of studies in the neurosciences is very low. The consequences of this include overestimates of effect size and low reproducibility of results. There are also ethical dimensions to this problem, as unreliable research is inefficient and wasteful. Improving reproducibility in neuroscience is a key priority and requires attention to well-established but often ignored methodological principles.

Indexed as

NeurosciencesSample SizeHumansProbabilityReproducibility of Results

Identifiers

PMID23571845

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.