ArticleScientific data2022
The two decades brainclinics research archive for insights in neurophysiology (TDBRAIN) database.
Article in Scientific data, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 2 of them syntheses that pooled it.
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Who cites it
30 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Challenging the Diagnostic Value of Theta/Beta Ratio: Insights From an EEG Subtyping Meta-Analytical Approach in ADHD.Applied psychophysiology and biofeedback · 2025Pooled it
- Beyond the label "major depressive disorder"-detailed characterization of study population matters for EEG-biomarker research.Frontiers in neuroscience · 2025Pooled it
- Transient frontal spectral events from EEG predict antidepressant response to sertraline in depression.Journal of psychiatric research · 2026Trial
- Trial
- Theta/Beta Ratio Neurofeedback Effects on Resting and Task-Related Theta Activity in Children with ADHD.Applied psychophysiology and biofeedback · 2025Trial
- Gamma and beta power and the 1/f slope vary across a spectrum of depression severity.Translational psychiatry · 2026Article
- Generative AI as a transformational logic for cognitive neuroscience.Communications biology · 2026Review
- Transient frontal spectral events from EEG predict antidepressant response to sertraline in depression.medRxiv : the preprint server for health sciences · 2026Article
- Identifying impulsivity and substance use measures in neuroimaging datasets: A scoping review and searchable dataset repository for researchers.Current addiction reports · 2026Article
- An explainable machine learning-based approach to predicting treatment response for neurofeedback in ADHD.Scientific reports · 2025Article
- Obsessive-compulsive disorder detection using ensemble of scalp EEG-based convolutional neural network.Physical and engineering sciences in medicine · 2025Article
- Exploring potential resting-state EEG biomarkers of obsessive-compulsive disorder based on explainable machine learning analysis of independent training and test samples.BMC psychiatry · 2025Article
- Multiband EEG signatures decoded using machine learning for predicting rTMS treatment response in MDD.Journal of affective disorders · 2025Article
- Neural transmission in the wired brain, new insights into an encoding-decoding-based neuronal communication model.Translational psychiatry · 2025Article
- Harnessing electroencephalography connectomes for cognitive and clinical neuroscience.Nature biomedical engineering · 2025Review
- GREEN: A lightweight architecture using learnable wavelets and Riemannian geometry for biomarker exploration with EEG signals.Patterns (New York, N.Y.) · 2025Article
- Precision neurodiversity: personalized brain network architecture as a window into cognitive variability.Frontiers in human neuroscience · 2025Review
- Abnormal nonlinear features of EEG microstate sequence in obsessive-compulsive disorder.BMC psychiatry · 2024Article
- Multi-modal EEG NEO-FFI with Trained Attention Layer (MENTAL) for mental disorder prediction.Brain informatics · 2024Article
- Machine learning of brain-specific biomarkers from EEG.EBioMedicine · 2024Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In neuroscience, electroencephalography (EEG) data is often used to extract features (biomarkers) to identify neurological or psychiatric dysfunction or to predict treatment response. At the same time neuroscience is becoming more data-driven, made possible by computational advances. In support of biomarker development and methodologies such as training Artificial Intelligent (AI) networks we present the extensive Two Decades-Brainclinics Research Archive for Insights in Neurophysiology (TDBRAIN) EEG database. This clinical lifespan database (5-89 years) contains resting-state, raw EEG-data complemented with relevant clinical and demographic data of a heterogenous collection of 1274 psychiatric patients collected between 2001 to 2021. Main indications included are Major Depressive Disorder (MDD; N = 426), attention deficit hyperactivity disorder (ADHD; N = 271), Subjective Memory Complaints (SMC: N = 119) and obsessive-compulsive disorder (OCD; N = 75). Demographic-, personality- and day of measurement data are included in the database. Thirty percent of clinical and treatment outcome data will remain blinded for prospective validation and replication purposes. The TDBRAIN database and code are available on the Brainclinics Foundation website at www.brainclinics.com/resources and on Synapse at www.synapse.org/TDBRAIN .
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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.