ArticleData in brief2022
BIDS-structured resting-state electroencephalography (EEG) data extracted from an experimental paradigm.
Article in Data in brief, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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.
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
9 citing papers in PubMed.
- Interpretable self-supervised transformers for resting-state EEG analysis in Alzheimer's disease.Frontiers in neuroinformatics · 2026Article
- Resting-State EEG Analysis Characterizes the Signature of CACNA1A-and GAA-FGF14-Related Channelopathies.Cerebellum (London, England) · 2025Article
- Functional Connectivity Is Dominated by Aperiodic, Rather Than Oscillatory, Coupling.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025Article
- Neural transmission in the wired brain, new insights into an encoding-decoding-based neuronal communication model.Translational psychiatry · 2025Article
- Sharing Neuroimaging Data with Squirrel - A Relational Data Format to Store Raw to Analyzed Data and Everything in Between.Neuroinformatics · 2025Article
- Loudness dependence of the auditory evoked potential: temporal stability, associations to sociodemographic variables, and functional significance-implications for clinical research.Frontiers in human neuroscience · 2025Article
- Cortical excitation/inhibition ratios in patients with major depression treated with electroconvulsive therapy: an EEG analysis.European archives of psychiatry and clinical neuroscience · 2024Article
- Brain-age estimation with a low-cost EEG-headset: effectiveness and implications for large-scale screening and brain optimization.Frontiers in neuroergonomics · 2024Article
- Sex-related differences in young binge drinkers on the neurophysiological response to stress in virtual reality.Frontiers in public health · 2024Article
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
No grant is acknowledged in the PubMed record.
Abstract
Electroencephalography (EEG) offers a unique window into the dynamics of the neuronal symphony that powers our brains. Here, we describe a publicly available dataset of EEG recorded from 111 healthy subjects. The data were recorded with 64 electrodes in a resting-state condition, an approach that offers broad-spectred analysis options, including functional connectivity and graph theory. In a subset of the subjects (n = 42), a second EEG recording was performed, 2-3 months after the initial recording, allowing measurement stability to be assessed. Furthermore, in connection with the EEG acquisition, a range of neuropsychological test scores were obtained for each subject. The dataset is comprehensive and organised according to the Brain Imaging Data Structure (BIDS) specification, providing a valuable starting point for both aspiring and experienced researchers in a range of fields, including cognitive neuroscience, data science, machine learning, and clinical neurophysiology.
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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.