ArticleScientific data2023
DISCOVER-EEG: an open, fully automated EEG pipeline for biomarker discovery in clinical neuroscience.
Article in Scientific data, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 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.
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.
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Who cites it
29 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.
- Resting-state EEG activity in depression: a systematic review and meta-analysis.NeuroImage. Clinical · 2026Pooled it
- Wireless high-density electroencephalography in the perioperative setting.Journal of neuroscience methods · 2025Trial
- Neurofeedback and attention modulate somatosensory alpha oscillations but not pain perception.PLoS biology · 2025Trial
- Dual Mechanisms of Impaired Visual Processing in Glaucoma: Insights From Resting-State and Task-Related EEG.Investigative ophthalmology & visual science · 2026Article
- Multi-Metric EEG Connectivity and Graph Analysis Reveal Altered Resting-State Networks in Major Depressive Disorder.Brain and behavior · 2026Article
- Decoding Bitter Taste Perception in Medicine-Food Homology Substances: A Multimethod Data and Sensory Assessment Approach.Foods (Basel, Switzerland) · 2026Article
- Predicting big five personality traits from resting-state EEG connectivity: a connectome predictive modeling study.Brain structure & function · 2026Article
- Neural encoding of pain is robust within but unstable between individuals.PLoS biology · 2026Article
- Resting-State Theta and Alpha Oscillations in Amputation and Phantom Limb Pain: A Pre-Registered High-Density EEG Study.Brain topography · 2026Article
- Efficient and Accurate Epilepsy Seizure Prediction and Detection Based on Multi-Teacher Knowledge Distillation RGF-Model.Brain sciences · 2026Article
- Altered Global and Local Network Organization in Exercise Dependence: Evidence from Graph Theory Analysis of Resting-state EEG.Brain topography · 2026Article
- Resting-State Electroencephalography Networks Underlying Individual Differences in the Effects of Virtual Reality Visual Feedback on Deafferentation Pain.Journal of pain research · 2026Article
- EEG biomarkers for Alzheimer's disease: A novel automated pipeline for detecting and monitoring disease progression.Journal of Alzheimer's disease : JAD · 2025Article
- Exploring electroencephalographic chronic pain biomarkers: a mega-analysis.EBioMedicine · 2025Article
- Neural variability reliably encodes interindividual differences in the perception of pain intensity.PLoS biology · 2025Article
- Article
- Multi-stream feature fusion of vision transformer and CNN for precise epileptic seizure detection from EEG signals.Journal of translational medicine · 2025Article
- Altered fronto-parietal alpha synchronization and coherence in paranormal believers.Neuroimage. Reports · 2025Article
- Using Electroencephalography to Advance Mindfulness Science: A Survey of Emerging Methods and Approaches.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2025Review
- Age-Specific Functional Connectivity Changes After Partial Sleep Deprivation Are Correlated With Neurocognitive and Molecular Signatures.CNS neuroscience & therapeutics · 2025Article
Corrections and comments
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Authors and funding
9 authors at 3 institutions in 2 countries.
Funding
Abstract
Biomarker discovery in neurological and psychiatric disorders critically depends on reproducible and transparent methods applied to large-scale datasets. Electroencephalography (EEG) is a promising tool for identifying biomarkers. However, recording, preprocessing, and analysis of EEG data is time-consuming and researcher-dependent. Therefore, we developed DISCOVER-EEG, an open and fully automated pipeline that enables easy and fast preprocessing, analysis, and visualization of resting state EEG data. Data in the Brain Imaging Data Structure (BIDS) standard are automatically preprocessed, and physiologically meaningful features of brain function (including oscillatory power, connectivity, and network characteristics) are extracted and visualized using two open-source and widely used Matlab toolboxes (EEGLAB and FieldTrip). We tested the pipeline in two large, openly available datasets containing EEG recordings of healthy participants and patients with a psychiatric condition. Additionally, we performed an exploratory analysis that could inspire the development of biomarkers for healthy aging. Thus, the DISCOVER-EEG pipeline facilitates the aggregation, reuse, and analysis of large EEG datasets, promoting open and reproducible research on brain function.
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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.