EEG Oscillatory Dynamics During Emotion Regulation in 40 Adults

Forty adults performed an emotion regulation task while EEG was recorded, with cortical sources reconstructed using sLORETA. The dataset likely contains results from linear mixed-effects models assessing the effects of regulation condition, brain region, and attachment orientations on theta and beta oscillatory power. The data was authored by Marcos Domic-Siede and last updated on 2026-05-07.

Use Cases

• Modeling the relationship between attachment anxiety and prefrontal theta power during cognitive reappraisal.
• Analyzing beta band activity differences in parietal regions during expressive suppression.
• Investigating how interpersonal dispositions modulate cortical oscillatory systems for emotion regulation.

Strengths

• Data is based on a sample of 40 adult participants with EEG recordings.
• Analysis includes source-level reconstruction of cortical activity using sLORETA.
• Results are derived from linear mixed-effects models, a robust statistical approach.

Limitations

• The dataset is very small at 56.0 KB, indicating limited scope.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

figshare

Collection Method

EEG recorded during an emotion regulation task using images from the International Affective Picture System (IAPS).

Freshness

Last updated 2026-05-07 05:42:18; freshness should be verified.