Cued Recall of Paired Associates with Open-Loop Stimulation at Encoding or Retrieval
…This study contains open-loop electrical stimulation of the brain during encoding…
- Participants
- 20
- Size
- 26.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "Deep Brain Stimulation" · page 6 of 10 · ranked by relevance
…This study contains open-loop electrical stimulation of the brain during encoding…
…iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial…
…were acquired using a BrainAmp system (BrainProducts GmbH) with 60 channels at…
…stimulation** - **Control stimulation** --- ## Raw Data The raw data are stored in **BrainVision…
…electrical stimulation of the brain during encoding. There is no stimulation during…
Imported from OpenNeuro ds006126
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.
A multi-paradigm EEG dataset comprising scalp electroencephalography recordings from 28 participants performing and imagining upper-limb rehabilitation exercises. This dataset is designed to support research on motor imagery and rehabilitation brain-computer interfaces (BCIs) for upper-limb motor function recovery and assessment.
…This study contains closed-loop electrical stimulation of the brain during encoding…
This dataset comprises 32-channel EEG recordings collected during a sham neurofeedback experiment conducted in a virtual reality environment. Participants underwent four conditions—positive feedback, negative feedback, control, and resting-state (eyes open/closed)—designed to examine how feedback valence influences alpha-band activity during an attentional task. The data were originally recorded in NeuroScan .cnt format and converted to BIDS using MNE-BIDS.