title: Findings in schizophrenia by tract-oriented DT-MRI analysis.
abstract: This paper presents a tract-oriented analysis of diffusion tensor (DT) images of the human brain. We demonstrate that unlike the commonly used ROI-based methods for population studies, our technique is sensitive to the local variation of diffusivity parameters along the fiber tracts. We show the strength of the proposed approach in identifying the differences in schizophrenic data compared to controls. Statistically significant drops in fractional anisotropy are observed along the genu and bilaterally in the splenium, as well as an increase in principal eigenvalue in uncinate fasciculus. This is the first tract-oriented clinical study in which an anatomical atlas is used to guide the algorithm.
authors.affiliation: Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, USA. mmaddah@mit.edu
authors.forename: Mahnaz
authors.initials: M
authors.lastname: Maddah
authors.forename: Marek
authors.initials: M
authors.lastname: Kubicki
authors.forename: William M
authors.initials: WM
authors.lastname: Wells
authors.forename: Carl-Fredrik
authors.initials: CF
authors.lastname: Westin
authors.forename: Martha E
authors.initials: ME
authors.lastname: Shenton
authors.forename: W Eric L
authors.initials: WE
authors.lastname: Grimson
mesh_terms: D000465:Algorithms; D001185:Artificial Intelligence; D001927:Brain Diseases / Q000175:diagnosis*; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008297:Male; D009413:Nerve Fibers, Myelinated / Q000473:pathology*; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012559:Schizophrenia / Q000175:diagnosis*; D012680:Sensitivity and Specificity