TX17
Imported from OpenNeuro ds004853
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 2
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
70 results for "electrophysiology" · page 5 of 7 · ranked by relevance
Imported from OpenNeuro ds004853
This dataset combines high-density electroencephalography (EEG) with concurrent physiological recordings (ECG, EOG) and continuous behavioral metrics during transcranial electrical stimulation (tES). The study includes 19 participants performing a vigilance task across 62 sessions, with systematic application of nine HD-tES montages targeting three cortical regions (frontal, motor, parietal) using three waveforms (DC, 5 Hz, 30 Hz), yielding over 783 stimulation trials. The dataset supports investigation of tES effects on brain activity, physiology, fatigue, and cognitive performance.
This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
This dataset comprises simultaneous multimodal neurophysiological recordings from 40 participants, including electroencephalography (EEG), electrospinography (ESG), electroneurography (ENG), and electromyography (EMG), acquired during resting state and peripheral nerve stimulation conditions. The study investigates somatosensory evoked potentials in the human spinal cord using separate median nerve stimulation (arm) and tibial nerve stimulation (leg) paradigms, as well as alternating mixed stimulation conditions, with concurrent electrocardiographic and respiratory monitoring. Data are organized according to the Brain Imaging Data Structure specification.
This dataset comprises synchronized electroencephalogram (EEG), electrocardiogram (ECG), and pupillography recordings from 75 participants (36 young and 39 older adults) during auditory cued reaction time tasks and passive listening conditions. Participants performed a simple reaction time task and a go/no-go task, with EEG acquired at 500 Hz using 64 scalp electrodes, ECG recorded bipolarly from chest electrodes, and pupil data sampled at 240 Hz. The dataset is designed to investigate age-related differences in neural, cardiac, and pupillary responses during cognitive and perceptual decision-making tasks.
This BIDS-formatted derivative dataset comprises EEG recordings from 15 healthy participants performing a visual P300 oddball task during treadmill walking at 1.6 m/s. The study includes simultaneous scalp-EEG (46 channels), ear-EEG (14 channels), electrooculography (4 channels), and inertial measurement unit recordings (6 channels) sampled at 100 Hz. Data were collected as part of BCI Competition 2020 Track 5 to evaluate brain-computer interface performance under ambulatory conditions. Trials are temporally divided into training, validation, and test sets.
This dataset comprises 64-channel EEG recordings with concurrent ECG and PPG measurements from 30 healthy young adults during resting state and a verbal working memory task. Participants performed digit span recall under four presentation modes (simultaneous, fast sequential, fast sequential with delay, and slow sequential), enabling investigation of neural oscillations and peripheral physiological responses during working memory encoding, maintenance, and retrieval. The dataset includes behavioral accuracy measures and trial-by-trial performance metrics.
This dataset investigates how expectation modulates repetition suppression in nociceptive processing. It contains raw neuroimaging data examining the neural mechanisms underlying pain perception and the influence of cognitive expectations on pain-related neural responses.
A long-term intracranial electroencephalography (iEEG) dataset from 8 epilepsy patients implanted with responsive neurostimulation (RNS) devices, comprising bilateral recordings from epileptic lesion areas. Each recording captures 90 seconds of dual-channel iEEG centered on stimulation events, with detailed stimulation parameters and seizure event markers. The dataset enables investigation of seizure onset pattern evolution and iEEG characteristic changes following electrical stimulation therapy.
Imported from OpenNeuro ds007180