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Various stuff about fMRI/EEG/MEG statistical analysis...

Most of the code below, plus some other utilities, can be found on my personal GitHub https://github.com/RikHenson, or the CBU GitHub https://github.com/MRC-CBU/riksneurotools

Introduction to statistics for neuroimagers - available as Python or Matlab notebooks (R markdown version TBC), e.g, .ipynb, .mlx or .html: https://github.com/RikHenson/CognesticStats
How to relate Age, Brain and Cognition (eg with structural equation modelling) in R markdown - available as .Rmd or .html https://github.com/RikHenson/AgeBrainCognition
Power for detecting interactions (moderations) in experimental and field studies in R markdown - available as .Rmd or .html https://github.com/RikHenson/Notebooks
Comparing a single patient vs a Group (in SPM) PDF

Complete, self-contained, 3-day course on fMRI analysis using open Python packages - available in ipynb, .pdf or .html: https://github.com/RikHenson/PythonNeuroimagingCourse
WIKI on How to design efficient fMRI experiments
Matlab function for calculating efficiency of fMRI GLMs (python notebook to TBC): https://github.com/MRC-CBU/riksneurotools/blob/master/GLM/fMRI_GLM_efficiency.m
Matlab functions for demonstrating multivariate connectivity https://github.com/RikHenson/MultivarCon

PDF on ANOVAs in SPM
Matlab function for generic GLM: https://github.com/MRC-CBU/riksneurotools/blob/master/GLM/glm.m
Matlab function for N-way repeated measures ANOVAs: https://github.com/MRC-CBU/riksneurotools/blob/master/GLM/repanova.m
Matlab script for simulating pooled versus partitioned errors: https://github.com/MRC-CBU/riksneurotools/blob/master/GLM/check_pooled_error.m

Comprehensive walk-through on M/EEG source reconstruction in SPM12: paper available here: PDF; code and data available here: https://figshare.com/collections/Multimodal_integration_of_M_EEG_and_f_MRI_data_in_SPM12/4367120
Matlab scripts for demonstration of DCM for fMRI (not well documented): https://github.com/RikHenson/DCMdemo
Matlab function for N-way mixed ANOVAs in SPM: https://github.com/MRC-CBU/riksneurotools/blob/master/SPM/batch_spm_anova.m
Extract data for multiple ROIs from multiple datafiles: https://github.com/MRC-CBU/riksneurotools/blob/master/Util/roi_extract.m
SPM Course Slides from 2008
Source Localisation of EEG and MEG data in SPM5: Manual and Data (~80MB)
PDF for single-subject (1st-level) event-related fMRI analysis in SPM Manual and Data
PDF for group-based (2nd-level) event-related fMRI analysis in SPM Manual and Data
Reading FIF MEG files into SPM5: click here for more info

A multi-subject, multi-modal (T1, BOLD, DWI, EEG, MEG) dataset for methods development: A BIDS version is here: OpenNeuro, but if you want the original version used by Wakeman and Henson, you'll need to use an FTP tool to download from "ftp://ftp.mrc-cbu.cam.ac.uk/personal/rik.henson/wakemandg_hensonrn/" (note 170GB!)

Matlab function for calculating NxN functional connectivity between all pairs of fMRI timeseries for N ROIs: https://github.com/MRC-CBU/riksneurotools/blob/master/Conn/rsfMRI_GLM.m
Matlab function for detecting artefacts in EEG/MEG data using ICA and temporal correlations with EOG/ECG and/or spatial correlations with standard template topographies: https://github.com/MRC-CBU/riksneurotools/tree/master/MEEG
Matlab function for computing single-trial fMRI estimates https://github.com/MRC-CBU/riksneurotools/blob/master/GLM/fMRI_multitrial_GLMs.m using LSA or LSS (see Abdulrahman & Henson (2016)).

Use at own risk!