Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig
Imported from OpenNeuro ds003380
- Participants
- 12
- Size
- 1.43 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
47 results for "responsive neurostimulation" · page 2 of 5 · ranked by relevance
Imported from OpenNeuro ds003380
This dataset contains electrocorticography (ECoG) recordings from three cohorts of C57BL/6 mice examining how transcranially delivered diagnostic ultrasound (tDUS) modulates cortical responses to a blinking light stimulus. Mice were exposed to combinations of tDUS and light stimulation, with electrodes targeting visual and somatosensory cortices, to investigate ultrasound's potential to intentionally modulate brain activity for future clinical and therapeutic applications.
This dataset comprises resting-state electroencephalography (EEG) recordings from 111 healthy control subjects acquired using a BioSemi ActiveTwo system with 64 electrodes. Subjects were recorded during four minutes of continuous EEG with eyes closed, with some subjects undergoing repeat recordings at a later timepoint. The dataset includes both raw EEG data rereferenced to average reference and a derived cleaned dataset preprocessed with an automated pipeline, along with demographic and cognitive test data.
This dataset comprises intracranial EEG recordings and single-unit neuronal activity from the human amygdala of nine epilepsy patients during exposure to dynamic visual stimuli with aversive (fearful faces) and neutral (landscape) content. The recordings enable investigation of amygdalar responses to emotional stimuli across multiple spatial scales, from macroscopic field potentials to microscopic neuronal firing patterns. Data are provided in BIDS format with extended neuronal spike data available in NIX standard.
This EEG dataset comprises recordings from 26 participants who received laser stimulation at fixed intensity while providing pain ratings on a 0-10 scale. The study investigates the neural correlates of pain perception and subjective pain ratings in response to nociceptive stimuli, with potential applications to understanding pain modulation mechanisms.
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.
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.
This dataset comprises intracranial EEG recordings collected using the CorTec BrainInterchange implantable device and the BCI2000 software platform, developed as part of an ecosystem of technology and protocols for adaptive neuromodulation research in humans. The data support research into closed-loop neuromodulation approaches and adaptive brain-computer interface systems. Recordings were obtained under IACUC-approved protocols in collaboration with Mayo Clinic and academic partners.
This dataset comprises intracranial EEG (iEEG) recordings from 22 patients undergoing stereo-EEG presurgical evaluation for drug-resistant epilepsy, capturing responses to 115 high-frequency cortical stimulations that evoked visual hallucinations. Each recording includes 21 seconds of iEEG data surrounding each stimulation event, with detailed annotations of stimulation parameters and 14 categories of evoked clinical visual phenomena. The dataset supports investigation of brain networks underlying stimulation-evoked visual symptoms and enables construction of symptom-related activation and connectivity maps.
This dataset contains simultaneous EEG, electrospinography (ESG), electroneurography (ENG), and electromyography (EMG) recordings from 26 healthy participants during resting state and various peripheral nerve stimulation paradigms (mixed and sensory nerve stimulation of median, tibial, and digital/toe nerves). The recordings aim to characterize somatosensory evoked potentials at the level of the spinal cord and cortex, enabling investigation of somatosensory processing across peripheral, spinal, and cortical levels. The study was pre-registered and organized according to the BIDS specification.