Executive Functionning Study for Assessing the Effect of Neurofeedback
- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 48
- Size
- 26.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "neurophysiological alterations" · page 3 of 10 · ranked by relevance
[ recordings from 25 normal-hearing participants exposed to continuous speech under varying masking conditions. Participants listened to peaky speech from one to five simultaneous talkers at different signal-to-noise ratios (clean, 0 dB, -3 dB, -6 dB SNR), as well as click trains, while EEG was recorded. The study investigates how speech masking affects subcortical neural encoding of naturally produced speech in human listeners.
This dataset contains non-invasive spinal cord recordings from 30 healthy young subjects performing an auditory-somatosensory expectation task. Participants received electric median nerve stimulations preceded by auditory cues at either fixed (1100 ms) or variable (100-2100 ms) intervals, while counting rare double-stimulus trials. The study investigates whether temporal expectation modulates initial sensory processing in the human spinal cord using high-frequency electrophysiological recordings from three electrode rings positioned around the cervical spine.
…discription A project to investigate neurophysiological correlates of Post-COVID-19 by…
This dataset comprises scalp electroencephalography (EEG) recordings from healthy young adults exposed to audiovisual flicker stimulation at 40 Hz, control (no flicker), or randomized flicker conditions during a one-hour psychomotor vigilance task. The study investigates the effects of multisensory flicker on neural activity and cognitive performance, providing raw EEG data suitable for analysis of frequency-domain responses and task-related brain dynamics.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006866-blue…
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.