Optimal Analysis of Functional Magnetic Resonance (fMRI) Using Nonparametric Permutation Method

Volume 20 No 4 (2022)

Hadeel K. Aljobouri, Hussain A. Jaber , Ilyas Çankaya

DOI: 10.14704/nq.2022.20.4.NQ22101

Abstract

The non-parametric permutation approach is an intuitive and flexible approach for the statistical analysis of fMRI data compared to the parametric techniques. This approach can also be used to verify the validity of less computationally expensive parametric approaches. The methodology concept and comparative features of non-parametric permutation methods have been handled and discussed by various researchers. However, no available explication of the method exists, also, no freely distributed program is implemented

Keywords

fMRI, Non-parametric Approach, Parametric Approach, Family-wise Error (FWE), Permutation Test, App Designer.

Copyright © Neuroquantology

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Articles published in the Neuroquantology are available under Creative Commons Attribution Non-Commercial No Derivatives Licence (CC BY-NC-ND 4.0). Authors retain copyright in their work and grant IJECSE right of first publication under CC BY-NC-ND 4.0. Users have the right to read, download, copy, distribute, print, search, or link to the full texts of articles in this journal, and to use them for any other lawful purpose.