• DocumentCode
    2275131
  • Title

    Visual cortical circuits revealed using fMRI and ICA

  • Author

    Alkan, Yelda ; Biswal, Bharat B. ; Alvarez, Tara L.

  • Author_Institution
    Dept. of Biomed. Eng., New Jersey Inst. of Technol., Newark, NJ, USA
  • fYear
    2010
  • fDate
    26-28 March 2010
  • Firstpage
    1
  • Lastpage
    2
  • Abstract
    This research used the Infomax ICA algorithm to search for independent circuits within the functional activity evoked during saccadic and vergence tracking fMRI experiments. Image processing determined independent components from each subject´s data and then identified which components had high correlation between subjects. Using the individual independent components that had high correlation between subjects, a group ICA was performed. The temporal properties between ROIs were then examined. The results of this study indicated that there are two separate spatial pathways; fronto-parietal and cerebellum, involved in oculomotor tracking tasks and the cerebellar pathway was delayed compared to the fronto-parietal component.
  • Keywords
    biomechanics; biomedical MRI; eye; ICA algorithm; cerebellar pathway; fMRI; functional activity; image processing; oculomotor tracking; visual cortical circuits; Biomedical engineering; Circuits; High-resolution imaging; Independent component analysis; Protocols; Radiology; Spatial resolution; Target tracking; Tellurium; Transmission line matrix methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Bioengineering Conference, Proceedings of the 2010 IEEE 36th Annual Northeast
  • Conference_Location
    New York, NY
  • Print_ISBN
    978-1-4244-6879-9
  • Type

    conf

  • DOI
    10.1109/NEBC.2010.5458272
  • Filename
    5458272