Neuroimaging (e)

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Neuroimaging or brain imaging is a term used to describe a broad collection of techniques that image the structure and function of the nervous system. Some of the most common non-invasive neuroimaging techniques include MRI, MEG and EEG. Here you will find information explaining the fundamentals of how these techniques work, as well as guides on how to analyse and interpret the data you get from them.

  Magnetic Resonance Imaging (MRI) 

MRI in Practise‘ (2011). A reasonably priced textbook on theory and applications  of MRI. Lots of good illustrations and analogies.

IMAIOSInteractive online course about  MRI physics. Covers tough concepts in good depth, and with good animations to aid understanding.

HUMAN CONNECTOME PROJECT. An interactive website teaching about white matter connections within the brain. Navigate the brain, fly through major brain pathways, compare essential circuits, zoom into a region to explore the cells that comprise it, and the functions that depend on it. Useful video tutorials explaining the basics of Diffusion MRI.

FSL is comprehensive library of analysis tools for imaging data.


 The FSL course (third link from the bottom) covers theory and practise of MRI and fMRI analysis. The course happens once a year, in different locations around the world, but copies of the lecture slides and example data can be found on this site.

Andrew Jahn’s youtube tutorials. Lots of playlists including an FSL tutorial, AFNI   tutorial (another commonly used fMRI software package), DTI analysis, and lots on statistics too.  There is example data to download as well.


Magnetoencephalography – This MEG community website tells you about what MEG is and how it can help us study the brain. It talks about the equipment used, the analysis techniques, the research centres working with MEG, and much more. A great place to start, and a great general resource to point you towards helpful information.

Fieldtrip toolbox –  For use within MATLAB. This is for advanced analysis of MEG and EEG data. This software is free of charge and open source, and these WIKI pages provide well documented guides to many types of analysis, as well as access to a community of people using this software that can give you support.