ArticleNeuroImage2015
The contribution of pre-stimulus neural oscillatory activity to spontaneous response time variability.
Article in NeuroImage, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 16 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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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.
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Who cites it
16 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Low and variable correlation between reaction time costs and accuracy costs explained by accumulation models: Meta-analysis and simulations.Psychological bulletin · 2018Pooled it
- SmartERD: a pipeline for referencing subjects to a common peak in the analysis of ERD dynamics.Scientific reports · 2025Article
- Characterising time-on-task effects on oscillatory and aperiodic EEG components and their co-variation with visual task performance.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Motor-induced oscillations in choice response performance.Psychophysiology · 2023Article
- The influence of temporal unpredictability on the electrophysiological mechanisms of neural entrainment.Psychophysiology · 2022Article
- Rhythmic interactions between the mediodorsal thalamus and prefrontal cortex precede human visual perception.Nature communications · 2022Article
- The Weakened Relationship Between Prestimulus Alpha Oscillations and Response Time in Older Adults With Mild Cognitive Impairment.Frontiers in human neuroscience · 2020Article
- Frontoparietal Networks Mediate the Behavioral Impact of Alpha Inhibition in Visual Cortex.Cerebral cortex (New York, N.Y. : 1991) · 2019Article
- Frequency and power of human alpha oscillations drift systematically with time-on-task.NeuroImage · 2019Article
- Trial-by-trial co-variation of pre-stimulus EEG alpha power and visuospatial bias reflects a mixture of stochastic and deterministic effects.The European journal of neuroscience · 2018Article
- Activity of primate V1 neurons during the gap saccade task.Journal of neurophysiology · 2017Article
- Noise and non-neuronal contributions to the BOLD signal: applications to and insights from animal studies.NeuroImage · 2017Review
- Speeded saccadic and manual visuo-motor decisions: Distinct processes but same principles.Cognitive psychology · 2017Article
- How to Evaluate Phase Differences between Trial Groups in Ongoing Electrophysiological Signals.Frontiers in neuroscience · 2016Article
- Power-law dynamics in neuronal and behavioral data introduce spurious correlations.Human brain mapping · 2015Article
- Article
Corrections and comments
- Erratum issued
Authors and funding
5 authors.
Funding
Abstract
Large variability between individual response times, even in identical conditions, is a ubiquitous property of animal behavior. However, the origins of this stochasticity and its relation to action decisions remain unclear. Here we focus on the state of the perception-action network in the pre-stimulus period and its influence on subsequent saccadic response time and choice in humans. We employ magnetoencephalography (MEG) and a correlational source reconstruction approach to identify the brain areas where pre-stimulus oscillatory activity predicted saccadic response time to visual targets. We find a relationship between future response time and pre-stimulus power, but not phase, in occipital (including V1), parietal, posterior cingulate and superior frontal cortices, consistently across alpha, beta and low gamma frequencies, each accounting for between 1 and 4% of the RT variance. Importantly, these correlations were not explained by deterministic sources of variance, such as experimental factors and trial history. Our results further suggest that occipital areas mainly reflect short-term (trial to trial) stochastic fluctuations, while the frontal contribution largely reflects longer-term effects such as fatigue or practice. Parietal areas reflect fluctuations at both time scales. We found no evidence of lateralization: these effects were indistinguishable in both hemispheres and for both saccade directions, and non-predictive of choice - a finding with fundamental consequences for models of action decision, where independent, not coupled, noise is normally assumed.
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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.