EEG Spectral Power in Animal Model for Sleep Deprivation Study

EEG spectral power density data was calculated using the PWelch function in Matlab from recordings in two animal cohorts (C and D). The dataset includes measurements from frontal (ch1) and occipital (ch2) derivations under baseline and sleep deprivation conditions. An accompanying information file provides details on the baseline and sleep deprivation experiments.

Use Cases

• Comparing spectral power between baseline and sleep deprivation states based on the experimental condition labels.
• Analyzing differences in brain activity between frontal and occipital regions based on the 'ch1' and 'ch2' channel derivations.
• Investigating cohort-specific effects in neural data using the animal codes (e.g., C1) and cohort dates (0202, 0224, 0203, 0225).
• Validating EEG processing pipelines that do not apply a notch filter, as specified in the file naming convention.

Strengths

• Data is explicitly licensed under CC-BY-4.0, facilitating open reuse.
• Includes a companion information file documenting the baseline and sleep deprivation experiments.
• File naming convention provides clear metadata on filter application (no notch) and experimental condition.

Limitations

• Column names and row counts are not provided, limiting understanding of the data's internal structure.
• The dataset's large size (~7.97 GB) may require significant storage and computational resources for analysis.
• Documentation is sparse on specific recording parameters, animal species, and precise experimental protocols.

Provenance

Source

Author is listed as Elise Meijer.

Collection Method

EEG spectral power density was calculated with the PWelch function in Matlab from recorded animal data.

Freshness

Last updated on 2026-03-22.