ArticlePloS one2022
Mental chronometry in big noisy data.
Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05155397 (The Dortmund Vital Study), which is not on this map. Cited by 7 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.
The Dortmund Vital Study: Impact of Biological and Lifestyle Factors on Cognitive Performace and Work Ability Across the Lifespan. An Interdisciplinary, Cross-sectional and Longitudinal Study
Who cites it
7 citing papers in PubMed.
- Change detection in audio-visual space: neural evidence for age effects.Frontiers in aging neuroscience · 2026Article
- Effects of motor activity versus cognitive demand on asymmetries in EEG frequency bands and their relation to handedness.Frontiers in human neuroscience · 2026Article
- Processing in working memory boosts long-term memory representations and their retrieval.Communications psychology · 2025Article
- Age-Related Differences in Neural Correlates of Auditory Spatial Change Detection in Real and Virtual Environments.The European journal of neuroscience · 2025Article
- The neural basis of attentional selection in goal-directed memory retrieval.Scientific reports · 2024Article
- Article
- Integrating cognition in the laboratory with cognition in the real world: the time cognition takes, task fidelity, and finding tasks when they are mixed together.Frontiers in psychology · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Temporal measures (latencies) in the event-related potentials of the EEG (ERPs) are a valuable tool for estimating the timing of mental processes, one which takes full advantage of the high temporal resolution of the EEG. Especially in larger scale studies using a multitude of individual EEG-based tasks, the quality of latency measures often suffers from high and low frequency noise residuals due to the resulting low trial counts (because of compressed tasks) and because of the limited feasibility of visual inspection of the large-scale data. In the present study, we systematically evaluated two different approaches to latency estimation (peak latencies and fractional area latencies) with respect to their data quality and the application of noise reduction by jackknifing methods. Additionally, we tested the recently introduced method of Standardized Measurement Error (SME) to prune the dataset. We demonstrate that fractional area latency in pruned and jackknifed data may amplify within-subjects effect sizes dramatically in the analyzed data set. Between-subjects effects were less affected by the applied procedures, but remained stable regardless of procedure.
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What OpenQuestion holds
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.