Structural MRI, Resting-state fMRI, and PSG/EEG Dataset of Zoster-associated Neuralgia
Imported from OpenNeuro ds007181
- Participants
- 66
- Channels
- 19 (other)
- Size
- 59.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
64 results for "Neurofeedback" · page 6 of 7 · ranked by relevance
Imported from OpenNeuro ds007181
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.
Imported from OpenNeuro ds005511
This dataset comprises simultaneous EEG-fMRI recordings from 24 healthy adults performing a sustained attention task (GradCPT) and a resting-state task with intermittent multi-dimensional experience sampling, collected across two sessions per participant. It includes behavioral responses, experience sampling ratings across 13 dimensions of thought, and mental health survey data, enabling study of the neural correlates of attentional fluctuations, mind-wandering, and the reliability of EEG-fMRI relationships across sessions.
The Healthy Brain Network (HBN) EEG Release 10 dataset comprises high-resolution electroencephalogram recordings from 533 children and adolescents (ages 5-21 years) performing six distinct cognitive and perceptual tasks, including resting state, passive viewing tasks (surround suppression, movie watching), and active tasks (contrast change detection, sequence learning, symbol search). The dataset includes behavioral responses, hierarchical event descriptors for systematic meta-analysis, and psychopathology factors derived from the Child Behavior Checklist, providing a comprehensive resource for investigating neural correlates of development and mental health in youth. This is Release 10 of an 11-release series.
This dataset contains EEG and ECG recordings collected during guided imagery hypnotherapy sessions designed to promote eudaemonic well-being through storytelling and deep visualization. Recordings include a baseline resting-state EEG session and EEG/ECG data from three in-person hypnotherapy sessions, with event markers denoting phase transitions within each session. The dataset is derived from a source OpenNeuro dataset and formatted according to BIDS standards.
This dataset contains behavioral and EEG data from twenty-one participants who learned to perform two drumming sequences (AABA and AAABAA) at three tempos (60, 100, and 150 bpm) using keyboard responses. Trial-by-trial visual feedback indicated timing accuracy relative to an adaptive response window, allowing investigation of motor learning and timing control. The dataset includes detailed event coding for stimulus conditions and feedback types across trials.
The Brain, Body, and Behaviour Dataset - Experiment 3 is a multimodal neurophysiological dataset comprising 29 subjects across 2 sessions designed to investigate the effects of attentional state on learning from educational videos. Participants watched six educational videos under two conditions: attentive (with post-video testing) and distracted (with concurrent cognitive load), while simultaneous recordings of brain activity, cardiovascular function, eye movements, and head motion were collected. The dataset includes concurrent EEG, ECG, EOG, gaze tracking, pupil size, and head position data, along with behavioral measures including memory questionnaires and ADHD symptom assessments.
Imported from OpenNeuro ds003195
This dataset contains EEG recordings from 127 young adults (18-30 years) collected alongside measures of childhood and adulthood socioeconomic status (SES), including educational attainment, income, food security, and neighborhood characteristics. EEG tasks were drawn from or adapted from the ERP CORE resource, designed to elicit neural activity related to perception, cognition, and action. The dataset also includes an ADHD symptoms checklist, enabling investigation of relationships between SES, ADHD symptoms, and neural activity in a socioeconomically diverse adult sample.