tACS for Patients with Post-Stroke Anomia
Imported from OpenNeuro ds007315
- Participants
- 2
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 1.09 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "kinesthetic imagery" · page 10 of 10 · ranked by relevance
Imported from OpenNeuro ds007315
…motor_imagery - **Imagery tasks**: left_hand, right_hand ## Data Structure - **Trials**: 1114…
This EEG dataset comprises recordings from children performing letter discrimination and visual search tasks across three experimental stages: pre-intervention baseline, intervention measurement, and post-intervention assessment. Participants were assigned to intervention and control groups to evaluate the effects of embodied learning on literacy-related neural processing. The dataset includes event markers corresponding to stimulus presentations of letters 'b' and 'd', enabling analysis of neural responses to letter discrimination and visual search performance.
This dataset contains invasive electrophysiological recordings from the human cervical spinal cord in patients with neuropathic pain who had epidural electrodes implanted for pain management. The study investigates whether temporal expectation, manipulated via variable versus fixed cue-to-stimulus intervals, influences initial sensory processing of median nerve stimulation at the level of the spinal cord. Eight patients performed a counting task while receiving auditory cues followed by single or double electric median nerve stimuli.
…PANAS (mood), Openness, Curiosity, VVIQ (visual imagery), AVIQ (auditory imagery), MAAS (mindfulness…
Imported from OpenNeuro ds003825
EEG dataset containing recordings from multiple subjects. This dataset is mirrored on NEMAR from OpenNeuro (ds002833) and contains raw EEG data in BIDS format.
…motor_imagery - **Imagery tasks**: left_hand_finger_tapping, right_hand_finger_tapping…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.