Intracranial EEG Recordings During Cognitive Effort for Epilepsy Suppression

A 24.3 MB dataset of intracranial electroencephalography (iEEG) recordings from patients undergoing functional brain mapping prior to epilepsy surgery. The data, published by Sai Pavan Beeram under CC-BY-4.0, captures brain activity during brief pulse electrical stimulation and subsequent cognitive tasks designed to suppress epilepsy-associated after discharges. Analysis using detrended fluctuation analysis and logistic regression models achieved an average accuracy of 77% in classifying effective suppression trials.

Use Cases

• Training classification models to predict effective cognitive suppression of after discharges based on iEEG signal features.
• Analyzing the temporal and spatial dynamics of brain activity during cognitive effort using detrended fluctuation analysis (DFA).
• Developing fractional-order dynamical network models (FODN) to understand brain-state modulation during epileptic events.
• Validating the efficacy of mental effort tasks, such as arithmetic and spelling problems, as a potential therapeutic intervention.

Strengths

• Dataset size is 24.3 MB, indicating a focused and manageable collection for analysis.
• Description details a specific logistic regression model achieving 77% accuracy with leave-one-out cross-validation.
• Data originates from a unique clinical setting of intracranial EEG recordings during pre-surgical brain mapping.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment for large-scale modeling.
• Data is provided as a PDF file, which may require extraction and preprocessing to access structured time-series data.

Provenance

Source

figshare

Collection Method

Intracranial EEG recordings collected from patients undergoing functional brain mapping prior to epilepsy surgery.

Freshness

Last updated 2026-05-19 04:20:53; freshness should be verified.