EEG Neurometrics Correlation Analysis with Subjective Reports

A 5.5 KB Excel file summarizes repeated measure correlation analysis between EEG neurometrics and subjective distraction reports. Vincenzo Ronca authored this neuroscience dataset, last updated in May 2026. The analysis likely contains statistical results linking physiological and behavioral measures of attention.

Use Cases

• Validate attentional modulation models based on correlations between EEG metrics and subjective reports.
• Investigate the link between ocular behavior and neural signatures of distraction.
• Perform meta-analysis or replication studies using the summarized correlation statistics.

Strengths

• Dataset is openly licensed under CC-BY-4.0, facilitating reuse.
• File size is 5.5 KB, indicating a concise summary suitable for quick inspection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Vincenzo Ronca

Collection Method

Repeated measure correlation analysis performed on EEG neurometrics, subjective reports, and ocular behavior.

Freshness

Last updated 2026-05-26 17:26:04; freshness should be verified.