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Each subject’s eeg/ folder contains reports and visualizations generated during preprocessing.
These outputs provide transparency, allow quality control, and make it easier to share results with collaborators who may not run the pipeline themselves.

Example Layout

File Descriptions

Visual Examples

PSD Topography Comparison

Power spectral density topography comparison

Raw vs Cleaned Signal Overlay

Raw vs cleaned EEG signal overlay

Why These Matter

  • Quality Control (QC): Each run produces both text logs and figures for visual inspection.
  • Transparency: Reports can be shared with collaborators or archived with publications.
  • Reproducibility: The .csv log and .fif ICA weights make it possible to rerun or reapply ICA later.
Subject-level reports are intended for human review.
They complement the standardized outputs in derivatives/ and task‑root exports/.