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
fMRI data analysis videos by Jeanette Mumford
Imaging (and other) wikis of the Cognition and Brain Sciences Unit in Cambridge
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
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