EEG and Behavioral Data from 24 Adults with Down Syndrome Performing a Go/No-Go Task

Continuous electroencephalography (EEG) recordings and behavioral metrics from 24 adults with Down syndrome, categorized by habitual physical intervention. The 1.1 GB dataset was collected during a visual Go/No-Go paradigm and published by Maylin Oliver-Rostán in April 2026. It is designed to investigate neural correlates of motor inhibitory control and the impact of lifestyle interventions.

Use Cases

• Compare neural correlates of inhibitory control between sports and performing arts groups based on the participant categorization.
• Execute source-level or time-frequency analyses based on the continuous EEG recordings.
• Apply graph theory or machine learning models to identify biomarkers of cognitive enhancement based on the neurophysiological data.
• Investigate the relationship between reaction times/accuracy and EEG signals during the Go/No-Go paradigm.

Strengths

• Includes data from 24 adults with Down syndrome, a neurodivergent population where open-access neurophysiological data is scarce.
• Contains both high-temporal-resolution EEG and behavioral metrics (reaction times, accuracy) collected simultaneously.
• Participants are categorized into two distinct intervention groups (sports n=15, performing arts n=9) for comparative analysis.
• Dataset size is 1.1 GB, indicating substantial raw signal data for analysis.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The cohort of 24 participants may limit the statistical power for some analyses.

Provenance

Source

Maylin Oliver-Rostán, participants recruited from the Down Syndrome Association of Maldonado, Uruguay.

Collection Method

Simultaneous EEG and behavioral recording during a visual Go/No-Go task presented via PsychoPy.

Time Range

null

Freshness

Last updated 2026-04-11 19:53:09; freshness should be verified.

Geography

Uruguay (Maldonado).