en Clinical Neuroscience Clinical Neuroscience Original Original <p align="left" ><font color="#221e1f" size="2"><font color="#221e1f" size="2"><p>Functional magnetic resonance imaging (fMRI) is a safe and non-invasive way to assess brain functions by using signal changes associated with brain activity. The technique has become a ubiquitous tool in basic, clinical and cognitive neuroscience. This method can measure little metabolism changes that occur in active part of the brain. We process the fMRI data to be able to find the parts of brain that are involve in a mechanism, or to determine the changes that occur in brain activities due to a brain lesion. In this study we will have an overview over the methods that are used for the analysis of fMRI data. </p></font></font> fMRI,Machine Learning, Multi-Voxel Pattern Analysis(MVPA),General Linear Model (GLM),Independent ComponentAnalysis (ICA),Principal Component Analysis(PCA). 67 74 http://bcn.iums.ac.ir/browse.php?a_code=A-10-1-78&slc_lang=en&sid=1 Mehdi Behroozi 1370031947532846001227 1370031947532846001227 Yes Mohammad Reza Daliri 1370031947532846001228 1370031947532846001228 No Huseyin Boyaci 1370031947532846001229 1370031947532846001229 No