Resources

fMRI methods & analysis

Feel free to read the content below in the given order.

fMRI Bootcamp -MITCBMM

Brief introduction to neuroimaging

Analysis principles

SPM preprocessing

Oxford Neuroimaging primers – GLM

SPM 1st level analysis

Finite Impulse Response (FIR)

SPM Manual

fMRI analysis playlist

https://www.pallier.org/lectures/Brain-imaging-methods-MBC-UPF-2017/4_fmri-data-analysis.pdf

The core syllabus shared below consists of a list of topics one should cover to fully understand all concepts behind fMRI. If you are interested in utilizing fMRI in the long term, covering all those points will be very beneficial to you.

MVPA – Multivariate Pattern Analysis

The Decoding Toolbox

RSA – Representational similarity analysis

Representational similarity analysis – connecting the branches of systems neuroscience

Representational Similarity Analyses: A Practical Guide for Functional MRI Applications (accessible via Bilkent)

A Guide to Representational Similarity Analysis for Social Neuroscience

A toolbox for representational similarity analysis

Special topics

Event/onset files:

Data diagnostics:

Design efficiency in fMRI

Dealing with differences of HRF:

Modelling with parametric modulators

Parametric modulators video

Brain masks:

Human Brain Function book

Martin Hebart’s tools

GLM single

f(MRI) acquisition

How MRI works: https://www.youtube.com/playlist?list=PLkSVzqeK5v2C4X1G3IuRUQeNveNGNxZrn

MR Physics: https://www.youtube.com/playlist?list=PLBkfUPj1TSRqmh2pXV2t5bY5Qr3Z8AeOi

MRI Pulse sequences playlist

Information regarding protocol parameters

MRI Toolbox (for selecting protocol parameters)

MRC CBU Imaging Sequences

Tips for data acquisition

Understanding fMRI artifacts: https://practicalfmri.blogspot.com/2011/11/understanding-fmri-atifacts.html

How to understand good data: https://practicalfmri.blogspot.com/2011/11/understanding-fmri-artifacts-good.html

Fieldmaps

Harvard fMRI physics and protocol Q&A: https://cbs.fas.harvard.edu/science/core-facilities/neuroimaging/information-investigators/MRphysicsfaq

Statistics

Within subjects CI part 1: https://www.youtube.com/watch?v=jkuYsSZu140

Within subjects CI part 2: https://www.youtube.com/watch?v=WRj3py4LBOo

Bayesian statistics: https://www.youtube.com/watch?v=3OJEae7Qb_o

https://www.youtube.com/watch?v=Uz9r8eV2erQ&list=PL3IqNVB6Zfz-nRkuz4F1Vc5ar1zCugV_a

Cognition & Behaviour

Can brain scans reveal behaviour? https://www.nature.com/articles/d41586-022-00767-3

Multiple Demand system: https://imaging.mrc-cbu.cam.ac.uk/imaging/MDsystem

Programming

Linear programming in Python: https://towardsdatascience.com/integer-programming-vs-linear-programming-in-python-f1be5bb4e60e
https://towardsdatascience.com/introduction-to-linear-programming-in-python-9261e7eb44b

Python vs. Matlab: http://asterisk.dynevor.org/python-matlab.html

Linux: http://www.ee.surrey.ac.uk/Teaching/Unix/