EEG Data from Temporal Prediction Task Comparing Younger and Older Adults

Data Sheet 1 contains results from a study by Marleen J. Schoenfeld exploring neural dynamics of temporal prediction across age groups. The dataset includes EEG recordings from 40 participants (20 younger adults aged 25.4 ± 4.13 years and 20 older adults aged 60.35 ± 3.92 years) performing a visual temporal prediction task. It was last updated on 2026-05-20.

Use Cases

• Compare behavioral performance on temporal prediction tasks between younger and older adults based on the described task.
• Analyze age-related differences in beta and delta oscillatory activity during anticipation based on the EEG markers mentioned.
• Model the relationship between neural phase adjustments and stimulus timing judgments described in the study.

Strengths

• Includes data from 40 participants with a balanced age group design (20 younger, 20 older).
• Uses 64-channel EEG recordings, providing high-density neural data.
• Task design specifically measures temporal prediction with variable stimulus delays.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Sample size of 40 participants may limit statistical power for some analyses.

Provenance

Source

Marleen J. Schoenfeld via figshare

Collection Method

Experimental data collected from participants performing a visual temporal prediction task while EEG was recorded.

Freshness

Last updated 2026-05-20 05:43:58; freshness should be verified.