Evidence map›Paper›PMID 29465324›Full record

ArticleJournal of neurophysiology2018

May the power be with you: are there highly powered studies in neuroscience, and how can we get more of them?

Johannes Algermissen, David M A Mehler

Abstract readComment
PubMed Publisher
In one paragraph

Article in Journal of neurophysiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 7 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.

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

35 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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  14. From lab to life: challenges and perspectives of fNIRS for haemodynamic-based neurofeedback in real-world environments.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Johannes AlgermissenRadboud University, Donders Institute for Brain, Cognition and Behaviour, Nijmegen , The Netherlands.
David M A MehlerCardiff University Brain Research Imaging Centre (CUBRIC), School of Psychology, Cardiff University , United Kingdom.ORCID 0000-0001-6587-2617

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Statistical power is essential for robust science and replicability, but a meta-analysis by Button et al. in 2013 diagnosed a "power failure" for neuroscience. In contrast, Nord et al. ( J Neurosci 37: 8051-8061, 2017) reanalyzed these data and suggested that some studies feature high power. We illustrate how publication and researcher bias might have inflated power estimates, and review recently introduced techniques that can improve analysis pipelines and increase power in neuroscience studies.

Indexed as

NeurosciencesBiasbiasmeta-analysisneurosciencestatistical power

Identifiers

PMID29465324

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.