Literature DB >> 14623069

Detection of structural differences between the brains of schizophrenic patients and controls.

Vassili A Kovalev1, Maria Petrou, John Suckling.   

Abstract

This paper investigates the validity of the null hypothesis: there are no structural differences between the brains of schizophrenic and normal control subjects that manifest themselves in MRI-T(2) data and distinguish the two populations in a statistically significant way. The data used refer to 21 schizophrenic patients and 19 normal controls, matched for age, sex and social background. The methodology used is based on three-dimensional texture analysis, which is used to quantify anisotropy in the data at scales of the order of a few millimetres. These data reject the null hypothesis. In addition, this article attempts to identify the regions of the brain that are responsible for the morphological characteristics that distinguish the two populations. For this purpose, it utilises a second texture analysis method that, in spite of being a global method, allows one to trace back to the data the origin of the features that most distinctly distinguish the two populations. This method indicates that the features that distinguish the two populations with P values smaller than 10(-6) are located in the most inferior part of the brain and in particular in the tissue that makes up the sulci. It is stressed that in order to preserve the integrity of the data for texture calculations, no registration of anatomical structures is performed, and the most inferior part of the brain is identified as referring to those slices of the scans that visually correspond to slices 1-12 of the Talairach and Tournoux brain atlas.

Entities:  

Mesh:

Year:  2003        PMID: 14623069     DOI: 10.1016/s0925-4927(03)00070-2

Source DB:  PubMed          Journal:  Psychiatry Res        ISSN: 0165-1781            Impact factor:   3.222


  6 in total

Review 1.  A review of feature reduction techniques in neuroimaging.

Authors:  Benson Mwangi; Tian Siva Tian; Jair C Soares
Journal:  Neuroinformatics       Date:  2014-04

2.  Novel multi-linear quantitative brain volume formula for manual radiological evaluation of brain atrophy.

Authors:  R Sungura; E Mpolya; J M Spitsbergen; C Onyambu; E Sauli; J-M Vianney
Journal:  Eur J Radiol Open       Date:  2020-11-13

3.  Three-dimensional textural analysis of brain images reveals distributed grey-matter abnormalities in schizophrenia.

Authors:  Balaji Ganeshan; Kenneth A Miles; Rupert C D Young; Christopher R Chatwin; Hugh M D Gurling; Hugo D Critchley
Journal:  Eur Radiol       Date:  2009-09-16       Impact factor: 5.315

4.  Multidimensional texture characterization: on analysis for brain tumor tissues using MRS and MRI.

Authors:  Deepa Subramaniam Nachimuthu; Arunadevi Baladhandapani
Journal:  J Digit Imaging       Date:  2014-08       Impact factor: 4.056

5.  Identification of voxel-based texture abnormalities as new biomarkers for schizophrenia and major depressive patients using layer-wise relevance propagation on deep learning decisions.

Authors:  A I Korda; A Ruef; S Neufang; C Davatzikos; S Borgwardt; E M Meisenzahl; N Koutsouleris
Journal:  Psychiatry Res Neuroimaging       Date:  2021-05-16       Impact factor: 2.493

6.  Supervised, Multivariate, Whole-Brain Reduction Did Not Help to Achieve High Classification Performance in Schizophrenia Research.

Authors:  Eva Janousova; Giovanni Montana; Tomas Kasparek; Daniel Schwarz
Journal:  Front Neurosci       Date:  2016-08-25       Impact factor: 4.677

  6 in total

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