Literature DB >> 16510267

An MRI study of structural variations in schizophrenia using deformation field morphometry.

Uicheul Yoon1, Jong-Min Lee, Jun Soo Kwon, Hyun-Pil Kim, Yong-Wook Shin, Tae Hyon Ha, In Young Kim, Kee-Hyun Chang, Sun I Kim.   

Abstract

Magnetic resonance imaging (MRI) has an important role in investigating the changes in brain structure that are associated with schizophrenia. In this study, MRI scans of patients diagnosed with schizophrenia (37 males; 19 females; 17-42 years of age) were compared with those of an age- and sex-matched group of normal subjects (37 males; 19 females; 18-40 years of age). Based on the images of the healthy control subjects, we constructed a representative average brain template. Automated image analysis techniques were used to measure differences in the regional nonlinear deformation fields between the two groups. A deformation field, which measures the spatial transformation to deform a template of brain anatomy to each individual data, was obtained as a three-dimensional displacement vector in each voxel. There was a significantly greater magnitude of the deformation fields in the superior frontal and parietal lobes as well as in the cingulate gyrus connecting both lobes of the patients with schizophrenia than in those of healthy controls, suggesting that these cerebral regions have a significantly higher structural variability in schizophrenia.

Entities:  

Mesh:

Year:  2006        PMID: 16510267     DOI: 10.1016/j.pscychresns.2005.12.005

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


  2 in total

1.  Effect of nonrigid registration algorithms on deformation-based morphometry: a comparative study with control and Williams syndrome subjects.

Authors:  Zhaoying Han; Tricia A Thornton-Wells; Elisabeth M Dykens; John C Gore; Benoit M Dawant
Journal:  Magn Reson Imaging       Date:  2012-03-27       Impact factor: 2.546

Review 2.  Executive function, neural circuitry, and genetic mechanisms in schizophrenia.

Authors:  Daniel Paul Eisenberg; Karen Faith Berman
Journal:  Neuropsychopharmacology       Date:  2010-01       Impact factor: 7.853

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.