Multivariate voxel based morphometry for diagnosing schizophrenia

Sampath, K and Sukumar, M (2008) Multivariate voxel based morphometry for diagnosing schizophrenia. In: National conference on electronics systems, informatics and cybernetics”, at PSNA College of engineering and technology, March 1st, 2008, Dindigul (TN).

[img] PDF
paper4.pdf - Published Version
Restricted to Registered users only

Download (171kB) | Request a copy

Abstract

There is no laboratory test or diagnostic tool is available for diagnosing schizophrenia. In schizophrenics significant structural changes are observed in certain parts of the brain. Voxel-based analysis based on the stereotactic coordinates provides a whole brain and unbiased technique for characterizing regional cerebral functions and structure. The multivariate linear model (MLM) has been proposed to characterize the functional brain response as a global pattern in the brain. Application of the MLM to voxel based morphometry (VBM) enables to capture and explain the interrelationship between the voxel-wise MRI data and a set of predictors in the spatial pattern of tissue distribution. Thus, this procedure is applied to differentiate schizophrenia patients from healthy subjects. This process is achieved using a multivariate tool box (MM2) implemented in old version of statistical parametric mapping (SPM2). The scripts in MM2 are upgraded to make it compatible with new version SPM5 so that more accurate and efficient method of classification can be obtained.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Schizophrenia, multivariate linear modeling
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 02 Feb 2015 09:24
Last Modified: 02 Feb 2015 09:24
URI: http://eprints.manipal.edu/id/eprint/141782

Actions (login required)

View Item View Item