on007315
tACS for Patients with Post-Stroke Anomia
EEG
Imported from OpenNeuro ds007315
- Participants
- 2
- Channels
- 32 (10-10)
- Citations
- 1
- Size
- 1.09 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
61 results for "CorTec BrainInterchange" · page 4 of 7 · ranked by relevance
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- nm000114
MDD Patients and Healthy Controls EEG Data
EEG Zarr verified- Participants
- 64
- Channels
- 22 (10-20)
- Citations
- 163
- Size
- 812 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003194
Neuroepo multisession
EEGImported from OpenNeuro ds003194
- Participants
- 15
- Channels
- 19 (10-20)
- Size
- 189 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002034
Real-time EEG feedback on alpha power lateralization leads to behavioral improvements in a covert attention task
EEGThis dataset contains EEG recordings from 14 healthy participants performing a covert attention task with real-time neurofeedback based on alpha power lateralization. The study investigates whether real-time EEG feedback on alpha power lateralization can lead to behavioral improvements in a covert attention task, employing a single-blinded crossover design comparing real versus sham feedback conditions across three recording sessions.
- Participants
- 14
- Channels
- 64 (10-10)
- Size
- 10.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002799
Human es-fMRI Resource: Concurrent deep-brain stimulation and whole-brain functional MRI
ANAT FMAP FUNC iEEGThis 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.
- Participants
- 26
- Citations
- 8
- Size
- 176 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000110
CHB-MIT
EEG Zarr fidelity issue- Participants
- 24
- Channels
- 23 (other)
- Citations
- 44
- Size
- 42.6 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on005079
The Effects of Directed Therapeutic Intent on Live and Damaged Cells
BEH EEGThis dataset presents a case study examining the physiological effects of directed therapeutic intent, as practiced by a self-identified energy medicine practitioner, on live versus damaged (irradiated) cell cultures. Using a double-blind, randomized design, the practitioner underwent 60 sessions total (40 with live cells, 10 with medium only, and 10 with dead/x-rayed cells), each structured into baseline, treatment, and control segments while physiological recordings were obtained. The study aimed to investigate potential correlations between practitioner physiology and cellular outcomes under controlled conditions.
- Participants
- 1
- Channels
- 65 (10-10)
- Size
- 1.68 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004625
Mind in Motion Young Adults Walking Over Uneven Terrain
EEGThis dataset comprises high-density, dual-layer EEG, neck EMG, IMU acceleration, ground reaction force, and structural MRI-derived head model data from 32 young adult participants walking over uneven terrain and at varying speeds. Each participant completed two three-minute trials per condition along with a seated rest trial. The dataset is designed to support research on the neural and biomechanical correlates of walking balance and gait adaptation on irregular surfaces.
- Participants
- 32
- Channels
- 120 (other)
- Citations
- 3
- Size
- 62.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003801
Neural Tracking to go
EEGImported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004121
BCIT Mind Wandering
EEGThis dataset contains EEG, eye-tracking, and simulated driving performance data collected during the BCIT Mind Wandering study, in which subjects performed a prolonged simulated driving task under varying background audio conditions (task-relevant, non-task-relevant, and internal focus) while responding to periodic lateral perturbations and a vigilance task requiring detection of police vehicles. The study aimed to identify EEG-based biomarkers of driver fatigue and mind wandering by comparing extended time-on-task driving performance to a non-fatigued calibration session. Data were collected at Teledyne Laboratories under a US Army Research Laboratory contract as part of a broader effort to develop predictive fatigue algorithms from neural and behavioral signals.
- Participants
- 21
- Channels
- 64 (10-10)
- Citations
- 32
- HED
- v8.0.0
- Size
- 23.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026