title: Reduced interhemispheric connectivity in schizophrenia-tractography based segmentation of the corpus callosum.
abstract: BACKGROUND
  A reduction in interhemispheric connectivity is thought to contribute to the etiology of schizophrenia. Diffusion Tensor Imaging (DTI) measures the diffusion of water and can be used to describe the integrity of the corpus callosum white matter tracts, thereby providing information concerning possible interhemispheric connectivity abnormalities. Previous DTI studies in schizophrenia are inconsistent in reporting decreased Fractional Anisotropy (FA), a measure of anisotropic diffusion, within different portions of the corpus callosum. Moreover, none of these studies has investigated corpus callosum systematically, using anatomical subdivisions.
  
  
  METHODS
  DTI and structural MRI scans were obtained from 32 chronic schizophrenic subjects and 42 controls. Corpus callosum cross sectional area and its probabilistic subdivisions were determined automatically from structural MRI scans using a model based deformable contour segmentation. These subdivisions employ a previously generated probabilistic subdivision atlas, based on fiber tractography and anatomical lobe subdivision. The structural scan was then co-registered with the DTI scan and the anatomical corpus callosum subdivisions were propagated to the associated FA map.
  
  
  RESULTS
  Results revealed decreased FA within parts of the corpus interconnecting frontal regions in schizophrenia compared with controls, but no significant changes for callosal fibers interconnecting parietal and temporo-occipital brain regions. In addition, integrity of the anterior corpus was statistically significantly correlated with negative as well as positive symptoms, while posterior measures correlated with positive symptoms only.
  
  
  CONCLUSIONS
  This study provides quantitative evidence for a reduction of interhemispheric brain connectivity in schizophrenia, involving corpus callosum, and further points to frontal connections as possibly disrupted in schizophrenia.
authors.affiliation: Psychiatry Neuroimaging Laboratory, Department of Psychiatry, Brigham and Women's Hospital, Harvard Medical School, United States. kubicki@bwh.harvard.edu
authors.forename: M
authors.initials: M
authors.lastname: Kubicki
authors.forename: M
authors.initials: M
authors.lastname: Styner
authors.forename: S
authors.initials: S
authors.lastname: Bouix
authors.forename: G
authors.initials: G
authors.lastname: Gerig
authors.forename: D
authors.initials: D
authors.lastname: Markant
authors.forename: K
authors.initials: K
authors.lastname: Smith
authors.forename: R
authors.initials: R
authors.lastname: Kikinis
authors.forename: R W
authors.initials: RW
authors.lastname: McCarley
authors.forename: M E
authors.initials: ME
authors.lastname: Shenton
mesh_terms: D000328:Adult; D001921:Brain / Q000473:pathology*; D001931:Brain Mapping; D003337:Corpus Callosum / Q000378:metabolism / Q000473:pathology*; D038524:Diffusion Magnetic Resonance Imaging / Q000706:statistics & numerical data; D006801:Humans; D007090:Image Interpretation, Computer-Assisted; D008297:Male; D009434:Neural Pathways / Q000473:pathology; D012559:Schizophrenia / Q000175:diagnosis / Q000473:pathology*