Deception_data
…See details of the task https://github.com/neuropsychology/CognitiveControl. # Data acquisition…
- Participants
- 45
- Channels
- 139 (other)
- Citations
- 4
- Size
- 202 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "cognitive performance" · page 7 of 10 · ranked by relevance
…See details of the task https://github.com/neuropsychology/CognitiveControl. # Data acquisition…
An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
This dataset contains EEG recordings from 14 healthy participants performing a covert attention task with real-time neurofeedback based on alpha power lateralization. The study investigates whether real-time EEG feedback on alpha power lateralization can lead to behavioral improvements in a covert attention task, employing a single-blinded crossover design comparing real versus sham feedback conditions across three recording sessions.
<!-- nemar:provenance --> ## Provenance This dataset is mirrored on NEMAR from OpenNeuro. - Source…
This dataset contains EEG/ERP data from an experiment examining sensitivity to semantic and syntactic violations in deaf readers. Participants read sentences presented word-by-word (RSVP) that contained subject-verb agreement violations, semantic violations, combined violations, word-order violations, or correct control sentences, while EEG was recorded. The study aims to characterize how deaf readers process linguistic anomalies at the neural level.
…The subjects were cognitively intact and had normal or adjusted to normal…
…reported cognitive symptoms and a group without self-reported cognitive symptoms. ##### Dependent…
This fNIRS neuroimaging dataset captures prefrontal cortex activity from 20 participants during 14 types of highly automated driving scenarios in a simulator environment. The study examines risk cognition in passengers across different age groups, sexes, and driving experience levels using an 8-channel fNIRS device. The dataset aims to identify differences in prefrontal cortex activation between low-risk and high-risk driving episodes to support safety-of-the-intended-functionality (SOTIF) improvements and brain-computer interface applications.
This dataset comprises psychometric and electroencephalographic (EEG) data collected from Mexican children with reading or math learning difficulties, aimed at evaluating the efficacy of the assistive online learning platform Smartick in improving academic skills. Data were collected from 76 subjects across two study groups (reading and math difficulties), each divided into experimental and control subgroups, with EEG and psychometric assessments performed before and after a three-month intervention period. The EEG recordings include resting-state and task-related conditions (reading comprehension or arithmetic problem solving), accompanied by psychometric measures such as reading speed, comprehension, math skills, selective attention, and IQ.
The PURSUE N170 Face Perception dataset comprises event-related potential (ERP) recordings from a face perception task conducted across three undergraduate institutions. Data were collected from participants in 2017-2018 using a standardized task design documented in the ERP CORE resource. This dataset provides a multisite contribution to open-access human electrophysiological research on face processing and the N170 component.