ReviewNeuroImage2020
Nature abhors a paywall: How open science can realize the potential of naturalistic stimuli.
Review in NeuroImage, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Article
- A large-scale MEG and EEG dataset for object recognition in naturalistic scenes.Scientific data · 2025Article
- Stakeholders' perceptions of the synergy between intellectual property and open science: A cross-sectional survey.Open research Europe · 2025Article
- Examining the availability/findability of stimuli employed in social media and body image research.PloS one · 2025Article
- The magic, memory, and curiosity fMRI dataset of people viewing magic tricks.Scientific data · 2024Article
- A large-scale fMRI dataset for the visual processing of naturalistic scenes.Scientific data · 2023Article
- Release of cognitive and multimodal MRI data including real-world tasks and hippocampal subfield segmentations.Scientific data · 2023Article
- Musical Emotions Recognition Using Entropy Features and Channel Optimization Based on EEG.Entropy (Basel, Switzerland) · 2022Article
- Review
- Article
- Scan Once, Analyse Many: Using Large Open-Access Neuroimaging Datasets to Understand the Brain.Neuroinformatics · 2022Article
- The "Narratives" fMRI dataset for evaluating models of naturalistic language comprehension.Scientific data · 2021Article
- Naturalistic Stimuli: A Paradigm for Multi-Scale Functional Characterization of the Human Brain.Current opinion in biomedical engineering · 2021Article
- Naturalistic Stimuli in Affective Neuroimaging: A Review.Frontiers in human neuroscience · 2021Review
- Keep it real: rethinking the primacy of experimental control in cognitive neuroscience.NeuroImage · 2020Article
- An fMRI dataset in response to "The Grand Budapest Hotel", a socially-rich, naturalistic movie.Scientific data · 2020Article
- A naturalistic neuroimaging database for understanding the brain using ecological stimuli.Scientific data · 2020Article
- Leveraging shared connectivity to aggregate heterogeneous datasets into a common response space.NeuroImage · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Naturalistic stimuli show significant potential to inform behavioral, cognitive, and clinical neuroscience. To date, this impact is still limited by the relative inaccessibility of both generated neuroimaging data as well as the supporting naturalistic stimuli. In this perspective, we highlight currently available naturalistic datasets and technical solutions such as DataLad that continue to advance our ability to share this data. We also review scientific and sociological challenges in selecting naturalistic stimuli for reproducible research. Overall, we encourage researchers to share their naturalistic datasets to the full extent possible under local copyright law.
Indexed as
Identifiers
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.