ArticleFrontiers in neuroscience2018
When and How to Interpret Null Results in NIBS: A Taxonomy Based on Prior Expectations and Experimental Design.
Article in Frontiers in neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 36 citations in OpenAlex.
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- No effects of rhythmic visual stimulation on target discrimination: An online alpha entrainment experiment.The European journal of neuroscience · 2022Article
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- A Bayesian approach to analysing cortico-cortical associative stimulation induced increases in the excitability of corticospinal projections in humans.Experimental brain research · 2021Article
- Improving emotional-action control by targeting long-range phase-amplitude neuronal coupling.eLife · 2020Article
- Does alpha phase modulate visual target detection? Three experiments with tACS-phase-based stimulus presentation.The European journal of neuroscience · 2020Article
- Examining the Dorsolateral and Ventromedial Prefrontal Cortex Involvement in the Self-Attention Network: A Randomized, Sham-Controlled, Parallel Group, Double-Blind, and Multichannel HD-tDCS Study.Frontiers in neuroscience · 2020Article
- Where Are the fMRI Correlates of Phosphene Perception?Frontiers in neuroscience · 2018Article
- Assessing the Functional Role of Frontal Eye Fields in Voluntary and Reflexive Saccades Using Continuous Theta Burst Stimulation.Frontiers in neuroscience · 2018Article
Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Experiments often challenge the null hypothesis that an intervention, for instance application of non-invasive brain stimulation (NIBS), has no effect on an outcome measure. In conventional statistics, a positive result rejects that hypothesis, but a null result is meaningless. Informally, however, researchers often do find null results meaningful to a greater or lesser extent. We present a model to guide interpretation of null results in NIBS research. Along a "gradient of surprise," from Replication nulls through Exploration nulls to Hypothesized nulls, null results can be less or more surprising
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