Frequency-specific EEG Microstates During Ciprofol Anesthesia

EEG microstate data from 60-channel recordings during wakefulness, loss of consciousness, and recovery of consciousness under ciprofol anesthesia. The dataset includes power spectra across delta, theta, alpha, beta, and gamma bands, with microstate parameters for seven states (A-G). Fei Yan authored this research, which was last updated in April 2026.

Use Cases

• Train a support vector machine classifier to distinguish conscious states using frequency-specific microstate features like duration, coverage, and occurrence.
• Analyze the relationship between ciprofol-induced power changes in delta-alpha bands and alterations in microstate D parameters in the delta-theta bands.
• Investigate state-dependent changes in alpha-band microstates, such as reduced duration and increased occurrence, during loss of consciousness.
• Build a classification model integrating features from all sub-frequency bands to predict transitions between wakefulness, LOC, and ROC states.
• Examine the significant alterations in occurrence, coverage, or explained variance for microstates A, C, and E within the beta-gamma bands during recovery.

Strengths

• Includes EEG data from three distinct conscious states: wakefulness, loss of consciousness, and recovery of consciousness.
• Analysis performed across five frequency bands (delta, theta, alpha, beta, gamma) and seven identified microstates (A-G).
• Reported classification accuracy of 0.971 when using integrated features from all sub-frequency bands.

Limitations

• The dataset is small, consisting of a single 388.5 KB DOCX file, limiting the scope for large-scale machine learning.
• Sample size and number of subjects are not specified, which may affect the generalizability of findings.
• Data is presented in a DOCX format, which is not ideal for direct computational analysis and requires extraction.

Provenance

Source

Fei Yan via figshare.

Collection Method

Sixty-channel EEG recordings during controlled ciprofol anesthesia administration.

Freshness

Last updated in April 2026.