STRONG
Imported from OpenNeuro ds004849
- Participants
- 1
- Channels
- 64 (10-10)
- Citations
- 4
- HED
- v8.1.0
- Size
- 78.9 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
85 results for "adaptive neurostimulation" · page 6 of 9 · ranked by relevance
Imported from OpenNeuro ds004849
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 simultaneous multimodal neurophysiological recordings (EEG, electrospinography, electroneurography, and EMG) from 26 participants during resting state and various somatosensory stimulation conditions targeting mixed nerves (median and tibial) and individual digits. The dataset enables investigation of somatosensory evoked potentials and their propagation through the central and peripheral nervous system across multiple recording modalities.
A longitudinal wireless subdural electrocorticography (ECoG) dataset from two fully implanted macaque monkeys (Macaca fuscata), organized in BIDS-iEEG format. The dataset comprises multiple recording sessions acquired weekly using an inductively powered wireless implant during rest and task-based conditions (pressing, reaching, listening, and sensorimotor tasks). This resource enables reproducible research in primate neurophysiology and brain-computer interface development. The dataset was independently curated and reorganized from in-house raw recordings (.bin files) using a custom BIDS converter. The original in-house raw recordings that served as the source for this BIDS-organized dataset are not publicly released. While a related version exists on OpenNeuro (ds006890), this dataset represents an independently maintained BIDS reorganization of the original in-house recordings.
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 randomized controlled trial investigates the differential effects of forward and backward span training on working memory capacity. Event-related potentials (ERPs) were recorded during a distractor version of the change detection task at pre-, mid-, and post-test timepoints, while behavioral measures were collected from additional cognitive tasks. The study demonstrates that both training types enhance working memory maintenance compared to control conditions, with backward span training providing superior benefits for interference control based on ERP indices.
This dataset comprises EEG recordings from 142 participants undergoing laser-evoked pain stimulation with concurrent pain intensity ratings. Participants received fixed-intensity nociceptive stimuli at two levels (low and high pain) across three blocks of 10 stimuli each, with pain ratings collected on a 0-10 scale after each trial. The dataset provides neurophysiological and behavioral measures of pain perception suitable for investigating the neural correlates of pain processing.
Imported from OpenNeuro ds003343
A multi-session EEG dataset acquired from 15 healthy participants performing resting state and graded cognitive tasks (MATB-II at three difficulty levels). The dataset comprises 62-channel EEG recordings at 500 Hz sampling rate designed for passive brain-computer interface applications and mental workload estimation in neuroergonomic contexts. Raw EEG data are provided with standardized event annotations using HED 8.4.0 schema and MOABB-compatible feature extraction pipelines (bandpower analysis and Riemannian covariance methods) for benchmarking purposes.
This dataset contains behavioral events and intracranial electrophysiology recordings from a delayed free recall task with closed-loop electrical stimulation delivered during encoding, guided by a classifier trained on encoding data. Participants studied lists of visually presented words, performed arithmetic distractor tasks, and then freely recalled the words. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, and represent a closed-loop stimulation extension of the FR1 and FR2 free recall datasets.