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EEG NPSY Tutorial

A multi-language tutorial relating EEG/ERP measures to neuropsychological performance — worked case studies, real results, code in Python, R, and Matlab.

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Key associations, Case Study 1 Cluster topography, Case Study 2 Correlation heatmap, Case Study 1

A tutorial by [REDACTED]

License: MIT Python R MATLAB

Overview

This tutorial provides two complete, worked case studies on a common clinical research question: how do EEG/ERP measures relate to neuropsychological performance? Each one follows a full pipeline — data wrangling, descriptive statistics, association analysis, modelling and diagnostics, export — with plain-language explanations aimed at readers with no statistics background.

Key associations, Case Study 1
Case Study 1 · Python & R

ERP correlates of neuropsychological performance

Two well-characterised ERP components (N400, P300), reduced to four scalar features and related to neuropsychological scores via linear regression — hypothesis-driven, complete and ready-to-run.

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Cluster topography, Case Study 2
Case Study 2 · Python

Whole-scalp spectral analysis of resting-state EEG

Real, whole-scalp EEG spectra analysed with cluster-based permutation testing — no a priori restriction to a single band or region, exploratory by design.

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How to Use This Tutorial

  1. Start with the Installation page to set up your environment
  2. Read about the data — what's synthetic and what's real
  3. Work through Case Study 1 and Case Study 2, each with a plain-language write-up and the full code
  4. Case Study 1 is available in both Python and R; more languages and case studies are on the way

Citation

If you use this tutorial in your work, please cite:

Author (2025). EEG NPSY Tutorial: A multi-language guide to EEG analysis.
GitHub: [REDACTED]

See the full citation page for details.