…From: "Electrophysiological biomarkers of behavioral dimensions from cross-species paradigms" N=57…
…and stable and non-invasive biomarkers to document their benefits. Neuroepo, a…
…and stable and non-invasive biomarkers to document their benefits. Neuroepo, a…
…fatigue-based performance through novel biomarkers. The Baseline Driving study was intended…
EEG dataset accompanying the PLOS ONE article 'Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer's risk classification' (Henao Isaza, Aguillon, Tobón Quintero, Lopera, & Ochoa Gómez, 2026). The recordings support a methodology for enriching samples in biomarker studies that classify Alzheimer's disease risk from EEG features. Data are stored in BIDS format (BrainVision .vhdr/.eeg/.vmrk files with accompanying metadata) and released under a CC0 license.
…This dataset can be used to explore EEG biomarkers of mortality risk…
This dataset contains EEG recordings from 13 healthy participants in Study I of the bigP3BCI collection. Participants used a P300-based speller with a 9x8 checkerboard character grid and a performance-based paradigm. Data were recorded from 16 channels at 256 Hz and are annotated with target and non-target stimulus events using HED. The dataset is a BIDS-formatted derivative of the PhysioNet bigP3BCI release, prepared for BCI benchmarking.
The Automatic Evoked Response Detection (ER-Detect) dataset contains intracranial EEG recordings collected during single-pulse electrical stimulation at the Mayo Clinic (Rochester, MN, USA) and the University Medical Center Utrecht (The Netherlands). It supports the development and evaluation of automated detection of stimulation-evoked cortico-cortical responses in epilepsy patients. The data are organized in BIDS format.
…EEG are promising non-invasive biomarkers of epileptogenicity. However, it is unclear…
…Objective interictal electrophysiology biomarkers optimize prediction of epilepsy surgery outcome. Brain Commun…