What are the various statistical methods which can be used in fMRI data analysis?

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Dinesh Kumar

The various statistical methods used in fMRI data analysis include:

General linear model (GLM)

Resting-state functional connectivity (RSFC)

Independent component analysis (ICA)

Seed-based functional connectivity (SFC)

Graph theory analysis

Machine learning techniques such as support vector machines (SVMs) and decision trees.

Region of interest (ROI) analysis

Multivariate pattern analysis (MVPA)

Dynamic causal modeling (DCM)

Granger causality analysis.

Samira Ahmadi

hi Tanaji Mane

I think it depends on what you want to measure and compare . at first, you should determine the hypothesis and then according to that and your variables you can choose the appropriate method.

but the article below maybe helps you:

https://bcn.iums.ac.ir/article-1-181-en.pdf

Hamid Ghorbani

Hi,

You may find the following book useful.

Statistical Analysis of fMRI Data

By: F. Gregory Ashby

Good luck,

Hamid