MEG skills - E6. Further reading

This page was created in an effort to provide a collaborative resource for beginning students in neuroimaging at KI and as a repository for a variety of helpful links.

  (f)MRI analysis links

• Principles of fMRI - video-based course on Coursera

• The UCLA/Semel Neuroimaging Advanced fMRI Summer Program with slides and videos from previous offerings

• Andy's Brain Blog and associated Youtube Channel with a ton of hands-on videos on processing imaging data in SPM, FSL and AFNI as well as general tips on statistics, working with Unix-based systems and the programming language R, and many more...

• SPM homepage including the SPM course videos and example datasets from the manual with step-by-step analysis instructions

• Methods for dummies at UCL

• fMRI data analysis videos by Jeanette Mumford

• Imaging (and other) wikis of the Cognition and Brain Sciences Unit in Cambridge

• Imaging Knowledge Base at MIT

• Principles of setting up a script for batch processing in SPM8 (can easily be adapted for newer SPM versions)

• OHBM conference videos and slides

  (f)MRI analysis books

• Huettel, S. A., Song, A. W. & McCarthy, G. (2008). Functional magnetic resonance imaging. Sinauer Associates.
• Poldrack, R. A., Mumford, J. A., & Nichols, T. E. (2011). Handbook of functional MRI data analysis. Cambridge University Press. Accompanying webpage
• Ashby, F. G. (2011). Statistical analysis of fMRI data. MIT press.

  (f)MRI datasets

• Human Connectome Project with course from 2015

• OpenfMRI - Platform to share fMRI datasets

• NeuroVault - Unthresholded statistical maps from fMRI experiments

• Neurosynth provides automatic aggregation of fMRI activations from several thousand studies

  Statistics

using R

• RStudio - user-friendly interface for interacting with R

• Introduction to R for people with no programming experience (Register to save progress across chapters)

• Cookbook for R - Generally good resource for learning R, but particularly useful for plotting nice graphs with the help of ggplot2.

• Nice tutorials on linear models and mixed models

• statcheck - an R package to check articles (including your own) for correct reporting of statistics

• Field, A., Miles, J., & Field, Z. (2012). Discovering Statistics Using R. Sage.

using SPSS

• Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.

  Matlab

• Matlab for Psychologists

• ICN Matlab for Cognitive Neuroscience Course

• Programming experiments with Matlab using the Psychophysics Toolbox

  Computational modeling

• Introduction to Reinforcement Learning with accompanying Matlab code

• Lecture videos from the Computational Psychiatry Course in Zurich 2015

  Neurobs Presentation

• Programming Tasks for Psychological Experiments using Presentation