ArticleeNeuro
Scientific Hypothesis-Testing Strengthens Neuroscience Research.
Article in eNeuro. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed.
- Quantifying Evidence for Competing Biomedical Hypotheses using Large Language Models and Bayesian Analysis.bioRxiv : the preprint server for biology · 2026Article
- An exploration of knowledge-organizing technologies to advance transdisciplinary back pain research.JOR spine · 2023Article
- Neuroscience Needs to Test Both Statistical and Scientific Hypotheses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022Article
- A Fuzzy Shell for Developing an Interpretable BCI Based on the Spatiotemporal Dynamics of the Evoked Oscillations.Computational intelligence and neuroscience · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Science needs to understand the strength of its findings. This essay considers the evaluation of studies that test scientific (not statistical) hypotheses. A scientific hypothesis is a putative explanation for an observation or phenomenon; it makes (or "entails") testable predictions that must be true if the hypothesis is true and that lead to its rejection if they are false. The question is, "how should we judge the strength of a hypothesis that passes a series of experimental tests?" This question is especially relevant in view of the "reproducibility crisis" that is the cause of great unease. Reproducibility is said to be a dire problem because major neuroscience conclusions supposedly rest entirely on the outcomes of single,
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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.