Processing Code For Stimulus And Task-Based EEG Analysis

Matteo Fecchio's code repository provides tools for analyzing stimulus-based and task-based electroencephalography (EEG) data. The repository is maintained by Matteo Fecchio Dataverse and was last updated in April 2026. The specific scope of data processed by this code is not detailed.

Use Cases

• Analyze event-related potentials (ERPs) from EEG time-series data following a stimulus presentation.
• Process task-based EEG signals to extract features like spectral power or connectivity metrics during cognitive activities.
• Implement preprocessing pipelines for EEG data, including filtering and artifact removal for stimulus-aligned epochs.
• Compare neural response patterns in EEG data between different stimulus conditions or task blocks.

Strengths

• Code is associated with a named researcher (Matteo Fecchio) and an institutional Dataverse repository.
• Last update recorded as April 2026, indicating recent maintenance.

Limitations

• No dataset metrics (rows, columns, sample size) are provided for the underlying EEG data.
• The description lacks specifics on the EEG data's subject count, recording parameters, or task designs.

Provenance

Source

Matteo Fecchio Dataverse

Collection Method

Code repository for analysis; original EEG data collection method is unknown.

Freshness

Last updated 2026-04-01.