Linglin Yang analyzed intracranial electroencephalographic (iEEG) data from 13 presurgical epilepsy patients navigating a virtual T-maze. The dataset focuses on signals from the anterior insular cortex during the reward expectancy stage, analyzed using representational similarity analysis, phase-amplitude coupling, and phase precession. The dataset was last updated on 2026-05-19.
Use Cases
- Analyze phase-amplitude coupling dynamics in the anterior insular cortex based on the described iEEG signals.
- Investigate neural representations during reward anticipation using representational similarity analysis.
- Study phase precession patterns in human intracranial recordings during a cognitive task.
- Model brain activity in epilepsy patients during a virtual navigation and reward task.
Strengths
- Data originates from 13 human subjects, providing a multi-subject clinical perspective.
- Analysis includes multiple advanced techniques: representational similarity analysis, phase-amplitude coupling, and phase precession.
- Data is explicitly focused on the reward expectancy stage of a controlled virtual T-maze task.
Limitations
- Column-level documentation is absent; field semantics must be inferred after download.
- Row count is unknown, which may limit suitability assessment.
- Data may reflect bias inherent to a clinical cohort of epilepsy patients.
Provenance
- Source
- Linglin Yang via figshare.
- Collection Method
- Intracranial electroencephalographic (iEEG) recordings from patients navigating a virtual T-maze.
- Freshness
- Last updated 2026-05-19 17:09:10; freshness should be verified.