STRONG
Imported from OpenNeuro ds004849
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 4
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
72 results for "Electrophysiology" · page 7 of 8 · ranked by relevance
Imported from OpenNeuro ds004849
This dataset comprises electrophysiological recordings from 57 human subjects performing three different behavioral tasks designed to identify cross-species electrophysiological biomarkers of behavioral dimensions. The study integrates human EEG data with complementary mouse neurophysiology to establish translational biomarkers of behavior, with data collection occurring between 2014-2016 and analysis between 2015-2021.
This dataset comprises simultaneous scalp EEG and intracranial EEG (iEEG) recordings from fifteen epilepsy patients undergoing intracranial monitoring while performing a modified Sternberg verbal working memory task. Recordings include depth electrode iEEG, 10-20 scalp EEG, electrode localization (MNI coordinates and anatomical labels), and derived LCMV beamforming virtual sensor data from multiple brain regions (temporal superior lobe, lateral prefrontal cortex, occipital cortex, posterior parietal cortex, and Broca's area). Behavioral data on trial set size, match/mismatch condition, accuracy, and response time are also provided, enabling analyses of memory encoding, maintenance, and recall processes, connectivity, and neural replay.
This dataset comprises concurrent deep-brain electrical stimulation and whole-brain functional MRI data from 26 patients with medically refractory epilepsy. Patients underwent intracranial electrode implantation for clinical purposes, with one or multiple electrode contacts stimulated during fMRI acquisition using block design protocols. The resource includes anatomical imaging (T1, T2), resting-state fMRI, electrical stimulation-fMRI (es-fMRI) scans, field maps, electrode coordinates, and stimulation parameters, along with preprocessed derivatives.
Imported from OpenNeuro ds004852
This dataset contains electroencephalogram (EEG) recordings from 15 university students (8 males, 7 females; aged 21-23 years) collected to investigate brain connectivity during learning processes involving generative AI. Participants performed essay-writing tasks under varying AI interaction conditions, enabling assessment of cognitive states such as creativity, memory, and critical thinking.
Imported from OpenNeuro ds004855
A multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing a 4-class steady-state visually evoked potential (SSVEP) brain-computer interface task. The dataset comprises 3,024 trials across 63 sessions with 66-channel recordings (64 EEG + 1 EOG + 1 stim) at 1000 Hz sampling rate, designed to investigate ocular activity patterns and their relationship to BCI performance across multiple paradigms.
A code-modulated visual evoked potential (cVEP) brain-computer interface dataset from 30 healthy participants performing an offline BCI task with a calculator grid stimulus. This derivative dataset demonstrates a calibration-free approach that progressively reduces training data requirements, ultimately achieving zero-training performance through neural encoding models while maintaining classification accuracy comparable to traditional event-related potential methods.
Imported from OpenNeuro ds004368