IJIRCSTJournal International Journal of Innovative Research in Computer Science and Technology I S Volume 2 Issue 6 Computer Science and Information Technology English November - December 2014 N N Y 2019 11 25 Computer Sciences Classification and Statistical Analysis of Auditory FMRI Data Using Linear Discriminative Analysis and Quadratic Discriminative Analysis English Y 56 61 Pritesh G. Shah English Y Bharti W. Gawali English N Functional magnetic resonance imaging (fMRI) has the ability to not only get insight into how human brain functions but also to study the human brain of normal and diseased subjects. One of the methods to analyze the fMRI data is univariate approach, another approach is Multivariate discriminative approach. However for classification, there exists number of statistical techniques. In this paper, we perform classification of fMRI data using Fishers Linear Discriminative Analysis (LDA). The re-substitution error for the LDA calculated to be 0.1875. It is concluded that, the data are consistent with the multivariate normal distribution. English Functional magnetic resonance imaging (fMRI), Linear Discriminative Analysis (LDA), Quadratic Discriminative Analysis (QDA), Statistical Parametric Mapping (SPM) https://ijircst.org/abstract.php?article_id=120