E6. Further reading

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