Optimization of Pipeline through Preprocessing Steps Sequence Alteration using Graph Theory for Resting State fMRI

Optimization of Pipeline through Preprocessing Steps Sequence Alteration using Graph Theory for Resting State fMRI
  IJETT-book-cover           
  
© 2023 by IJETT Journal
Volume-71 Issue-3
Year of Publication : 2023
Author : Deepa Nath, Anil Hiwale, Nilesh Kurwale
DOI : 10.14445/22315381/IJETT-V71I3P217

How to Cite?

Deepa Nath, Anil Hiwale, Nilesh Kurwale, "Optimization of Pipeline through Preprocessing Steps Sequence Alteration using Graph Theory for Resting State fMRI," International Journal of Engineering Trends and Technology, vol. 71, no. 3, pp. 168-174, 2023. Crossref, https://doi.org/10.14445/22315381/IJETT-V71I3P217

Abstract
The resting-state functional magnetic resonance imaging (rs-fMRI) is an advanced imaging method with several benefits compared to functional magnetic resonance imaging (fMRI) techniques. Major benefits of rs-fMRI are easy receiving of the signal, needs minimum effort from the patient, and good at differentiating the functional areas in patients. Resting-state fMRI (rs-fMRI) identifies the amount of Blood Oxygen Level-called as BOLD. These are variations at frequencies smaller than 0.1 Hz to identify the functional variations of the brain. Usage of this BOLD level allows viewing resting-state networks (RSN). RSN are distinct areas of the brain which are spatially distributed and which confirm synchronous BOLD fluctuations at rest. In the pipeline for fMRI data, various preprocessing steps are carried out as a normal procedure for achieving a better quality of data. In this paper, these steps for preprocessing are altered/changed in the pipeline of CONN neuroimaging software, and its effects on graph theory outcomes are explored and discussed.

Keywords
Resting-state functional magnetic resonance (rs-fMRI), Functional connectivity (FC), Blood Oxygen Level Dependent (BOLD).

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