Functional Magnetic Resonance Imaging (FMRI) Analysis | Report

Running head: MEDICAL
FMRI ANALYSIS
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1
MEDICAL
Table of Contents
Pre-processing steps...................................................................................................................2
First-level analysis.....................................................................................................................3
GLM analysis.............................................................................................................................3
References..................................................................................................................................5

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MEDICAL
Functional Magnetic Resonance Imaging (fMRI) analysis has been used in order to
measure the brain activities, which are associated with the detection of blood flow. This
process has been found to rely on the fact that the cerebral flow of blood and activation of
neuron since both are coupled. The area of brain use has been found to be associated with
blood flow rate increment (Helfinstein et al., 2013). This technique has been used to diagnose
the functional anatomy of the human brain, evaluate the effects of various chronic diseases
like stroke and guide treatment of the brain. Detection of brain abnormalities has been found
to be done by fMRI inside the brain which cannot be found with various other techniques.
Pre-processing steps
The assumptions of pre-processing analysis have been found to be met, time course has been
found to come from a single location, spaced in time in a uniform pattern and spatial
smoothness is achieved. The analysis is done by separating the signal from noise. This is a
necessary step in the process of data analysis for fMRI. Before analysis, the process of fMRI
undergoes a large series of pre-processing steps that are aimed at the identification and
removal of artefacts. The next goal of pre-processing steps includes the transformation of
data in order to meet the assumptions followed by standardization of brain locations across
various subjects in order to achieve sensitivity and validity in-group analysis. For the removal
of artefacts and visualization errors, slice time correction, correction of motion, correction of
physiological effects and normalization with spatial filtering has been used. Transformation
of data is done by the use of functional images associated with co-registered information on a
structural pattern (Lindquist et al., 2019). Twelve degrees of freedom has been used to
transform the data for co-registration in the SPM software program. These are the overall
information, which can be stated to be available for the pre-processing step of fMRI.