MNE - Neurophysiology Analysis

MNE provides sophisticated tools for filtering brain signals, epoching data, and performing source localization (mapping signals back to brain anatomy).

When to Use

• Processing EEG/MEG recordings from clinical or research studies.
• Analyzing event-related potentials (ERPs).
• Source localization (finding where in the brain signals originate).
• Connectivity analysis between brain regions.
• Preprocessing neurophysiological data for machine learning.

Core Principles

Raw → Epochs → Evoked

The standard pipeline: continuous raw data → segmented epochs → averaged evoked responses.

Sensor Space vs. Source Space