The Neurophysiological Biomarker Toolbox (NBT)

Rhythms of the Brain

“Rhythms of the Brain” is an 8-week course suited for Masters students with prior knowledge of neuroscience.
Students may have taken the BSc course "Human Neurophysiology", but it is not a requirement. Rhythms of the Brain aims to provide students hands-on experience with a variety of EEG-based research methods, including experimental paradigms and signal processing approaches not covered in Human Neurophysiology. This wiki page provides (1) a detailed account of the learning objectives in the course, (2) links to information on how to perform experiments in our EEG lab, (3) links to tutorials that will help you understand the methods presented in the lectures, and (4) guidance on how to analyze and present EEG and behavioural data

Learning Objectives

The student will learn:

EEG genesis and basic DSP

  • How synaptic events and neuronal currents produce electrical potentials on the scalp and magnetic fields outside the head.
  • The theory behind digital signal processing, such as power-spectrum, time-frequency and complex time-series analysis.


  • The mechanism with which event-related responses can be generated.

M/EEG Source Modeling

  • The importance of spatial and temporal resolution in neuroimaging
  • The forward electromagnetic problem: head models and methods to estimate the forward electromagnetic model
  • Major approaches for solving the M/EEG inverse problem and their relative strengths and weaknesses

Effective connectivity analysis with EEG

  • Relative strengths and weaknesses of sensor and source-level approaches to functional connectivity analysis

EEG acquisition and analysis

  • To independently perform EEG experiments.
  • To analyze ongoing and event-related EEG data.

Group work and poster presentation

  • To collaborate with a small group of students about reading literature, presenting papers, analyzing data, and making quality figures and a poster.
  • To present and defend a scientific poster.

NBT and matlab tutorials

For these tutorials you will need to download the latest version of NBT from Canvas. NBT will come as a zip-file and it is likely that you will receive upgrades of the NBT throughout the course as we discover bugs or add desired features. Always make sure that you work with the latest available on Canvas.

We would like to offer educational material to support your understanding of the digital signal processing capabilities implemented in NBT. If you have not worked with Matlab before, please follow the two introduction to Matlab tutorials first:

Now you will learn how to pre-process EEG signals before computing biomarkers and analyzing the results:

You can now calculate Biomarkers on your signal. For this we would like you to calculate the amplitude biomarkers, and the DFA biomarker for three frequency ranges [4-8Hz, 8-13Hz, 13-30Hz]

You can now test your cleaning:

Now you will learn how to analyze variations in EEG biomarkers, behavioral biomarkers and questionnaire scores within and between conditions. In the process, you will learn how to visualize EEG biomarkers and how to perform statistical analyses using the Neurophysiological Biomarker Toolbox (NBT). For these tutorials you will analyze data we already cleaned manually and for which we already computed the biomarkers.

You will learn how to use a machine learning algorithm called Elastic Net to classify EEG recordings as belonging to either CTET or ECR.

courses/rhythms_of_the_brain.txt · Last modified: 2017/10/30 13:05 by Klaus Linkenkaer-Hansen
The NBTwiki platform - version 2.8 - 9 May 2013
Copyright (C) 2008-2015