An fNIRS dataset for driving risk cognition of passengers in highly automated driving scenarios
…focus on the prefrontal cortex activity in fourteen types of highly automated…
- Participants
- 20
- Size
- 2.31 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "infant brain activity" · page 4 of 10 · ranked by relevance
…focus on the prefrontal cortex activity in fourteen types of highly automated…
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
…either a reading activity, or a social activity. You can also find…
…Personalized whole-brain activity patterns predict human corticospinal tract activation in real…
…electrodes for recording neural activity in the brain. The data set involves…
…brain processes, their development across the lifespan, and differences in brain activity…
This dataset investigates the neurobehavioral mechanisms linking childhood sexual abuse and problem drinking in women using EEG neuroimaging data collected from monozygotic twin pairs. The study employs a behavioral task with visual stimuli to examine neural correlates associated with these clinical phenotypes. Data were collected at Washington University School of Medicine under IRB approval and include detailed task descriptions, stimulus materials, and genetic relationship information for twin participants.
…channel MR-compatible EEG system (Brain Products, Munich, Germany). R128 in the…
The Brain, Body, and Behaviour Dataset (Experiment 2) is a multimodal neurophysiological dataset comprising 31 subjects across 2 sessions designed to investigate incidental learning and attentional modulation. Participants watched five educational videos under attentive and distracted conditions while simultaneous recordings of EEG, ECG, EOG, eye-tracking, and pupil dynamics were acquired. This derivative dataset includes preprocessed physiological signals and behavioral responses to memory questionnaires, providing a comprehensive resource for studying the neural and physiological correlates of attention, learning, and cognitive load.
…brain electrophysiological activity were being recorded using 64-channel EasyCap from Brain…