• DocumentCode
    2719285
  • Title

    Challenges in MR image acquisition and analysis for probing the human connectome in vivo

  • Author

    Yendiki, Anastasia

  • Author_Institution
    Athinoula A. Martinos Center for Biomed. Imaging, MIT, Charlestown, MA, USA
  • fYear
    2010
  • fDate
    14-17 April 2010
  • Firstpage
    633
  • Lastpage
    634
  • Abstract
    One of the basic principles underlying modern neuroscience is that of connectional specificity; that is, neurons in different regions of the brain do not form connections randomly but rather in a manner that facilitates the processing of information among regions with related functions. A full characterization of the connectional specificity of the human brain would require identifying all connections between individual neurons and mapping the trajectories of the axons that connect them. This neuronal connectivity diagram, referred to as the human connectome, is unknown and beyond the reach of current technologies. However, recent advances in diffusion and functional MRI have opened the way to the study of major pathways in the brain, which are formed by bundles of axons running in parallel and terminating in groups of neurons with architectonic and functional homogeneity. These advances have brought us excitingly close to the in vivo, noninvasive mapping of the human connectome at the aggregate level but several technical challenges remain to be addressed.
  • Keywords
    biomedical MRI; brain; neurophysiology; MR image acquisition; brain; connectional specificity; diffusion MRI; functional MRI; human connectome; neuronal connectivity diagram; High-resolution imaging; Humans; Image analysis; Image reconstruction; In vivo; Magnetic resonance imaging; Nerve fibers; Neurons; Spatial resolution; Tensile stress; Diffusion MRI; brain imaging; functional MRI;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical Imaging: From Nano to Macro, 2010 IEEE International Symposium on
  • Conference_Location
    Rotterdam
  • ISSN
    1945-7928
  • Print_ISBN
    978-1-4244-4125-9
  • Electronic_ISBN
    1945-7928
  • Type

    conf

  • DOI
    10.1109/ISBI.2010.5490098
  • Filename
    5490098