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.
This dataset contains scalp EEG recordings from 28 participants performing or imagining upper-limb rehabilitation exercises under a multi-paradigm protocol. It was designed to support research on motor-imagery-based brain–computer interfaces (BCI) for upper-limb rehabilitation. The data have been converted to BIDS format from the original dataset published by Chang et al. (2025).
…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.