Executive Functionning Study for Assessing the Effect of Neurofeedback
…The large letters were made up of an aggregate of smaller letters…
- Participants
- 24
- Channels
- 64 (10-10)
- Citations
- 51
- Size
- 26.8 GB
- Version
- v1.0.0
- Updated
- Jun 1, 2026
…The large letters were made up of an aggregate of smaller letters…
…Encoding (letter set), retention (blank screen), and retrieval (probe letter) phases were…
This dataset contains EEG recordings from deaf readers who read sentences containing semantic and syntactic violations, used to assess sensitivity to semantic and syntactic information during reading. Event-related potentials were recorded while participants viewed 180 sentences presented word by word, including subject-verb agreement, semantic, double, and word-order violations alongside correct control sentences.
…Cohort - 24 patients (source two-letter codes, which "are not the patient…
An MEG dataset recorded while participants viewed colored square wave spiral gratings and the color words "blue" and "green". Eight spiral gratings (pink, blue, green, and orange, each in light and dark variants) subtended 10 degrees of visual angle, and the words appeared in white on a gray background. Each stimulus was presented for 116 ms, and event triggers identify the stimulus category. The data are suited to studying neural representations of color and color words.
…Participants were presented with 90 four-letter real words and 90 four…
EEG dataset of a visual oddball (P300) task from the PURSUE project, collected in 2017 and 2018 from participants at three primarily undergraduate institutions in Southern California, Massachusetts, and Virginia. The task design follows the ERP CORE paradigm, and the dataset includes participant demographic information such as race.
…Participants were presented with 90 four-letter real words and 90 four…
…Calibration task presented letter characters at a rate of 4 Hz, with…
EEG recordings from 10 healthy participants performing an online P300 row-column speller task with a 6x6 character matrix. The study compared two stimulus types, Famous Faces and Inverting, in combination with language models for online classification. Data were recorded from 32 channels at 256 Hz across two sessions per subject with three runs each, and are annotated with HED tags.