• DocumentCode
    1771859
  • Title

    Characterizing white matter connectivity in major depressive disorder: Automated fiber quantification and maximum density paths

  • Author

    Sacchet, Matthew D. ; Prasad, Gautam ; Foland-Ross, Lara C. ; Joshi, Shantanu H. ; Hamilton, J. Paul ; Thompson, Paul M. ; Gotlib, Ian H.

  • Author_Institution
    Neurosciences Program, Stanford Univ., Stanford, CA, USA
  • fYear
    2014
  • fDate
    April 29 2014-May 2 2014
  • Firstpage
    592
  • Lastpage
    595
  • Abstract
    Diffusion-weighted imaging allows for in vivo assessment of white matter structure, which can be used to assess aberrations associated with disease. Several new methods permit the automated assessment of important white matter characteristics. In the current study we used Automated Fiber Quantification (AFQ) to assess differences between depressed and nondepressed individuals in 18 major white matter tracts. We then used the Maximum Density Path (MDP) method to further characterize group differences identified with AFQ. The results of the AFQ analyses indicated that fractional anisotropy (FA; an index of white matter integrity) along bilateral corticospinal tracts (CST) was higher in depressed than in nondepressed individuals. MDP analyses revealed that white matter anomalies were restricted to four subregions that included the corona radiata and the internal and external capsules. These results provide further evidence that MDD is associated with abnormalities in cortical-to-subcortical connectivity.
  • Keywords
    biodiffusion; biomedical MRI; brain; diseases; medical disorders; medical image processing; neurophysiology; AFQ analyses; CST; MDP analyses; Maximum Density Path method; aberrations; automated assessment; automated fiber quantification; bilateral corticospinal tracts; corona radiata; cortical-to-subcortical connectivity; diffusion-weighted imaging; disease; external capsules; fractional anisotropy; group differences; in vivo assessment; internal capsules; major depressive disorder; maximum density paths; nondepressed individuals; white matter anomalies; white matter connectivity; white matter integrity index; white matter structure; Anisotropic magnetoresistance; Corona; Educational institutions; Image resolution; Magnetic resonance imaging; Transforms; Major Depressive Disorder (MDD); automated fiber quantification (AFQ); diffusion-weighted imaging; maximum density paths (MDP); tractography;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging (ISBI), 2014 IEEE 11th International Symposium on
  • Conference_Location
    Beijing
  • Type

    conf

  • DOI
    10.1109/ISBI.2014.6867940
  • Filename
    6867940