• DocumentCode
    1489292
  • Title

    Electrophysiological Imaging of Brain Activity and Connectivity—Challenges and Opportunities

  • Author

    He, Bin ; Yang, Lin ; Wilke, Christopher ; Yuan, Han

  • Author_Institution
    Dept. of Biomed. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    58
  • Issue
    7
  • fYear
    2011
  • fDate
    7/1/2011 12:00:00 AM
  • Firstpage
    1918
  • Lastpage
    1931
  • Abstract
    Unlocking the dynamic inner workings of the brain continues to remain a grand challenge of the 21st century. To this end, functional neuroimaging modalities represent an outstanding approach to better understand the mechanisms of both normal and abnormal brain functions. The ability to image brain function with ever increasing spatial and temporal resolution has made a significant leap over the past several decades. Further delineation of functional networks could lead to improved understanding of brain function in both normal and diseased states. This paper reviews recent advancements and current challenges in dynamic functional neuroimaging techniques, including electrophysiological source imaging, multimodal neuroimaging integrating fMRI with EEG/MEG, and functional connectivity imaging.
  • Keywords
    bioelectric phenomena; biomedical MRI; diseases; electroencephalography; magnetoencephalography; neurophysiology; EEG; MEG; abnormal brain functions; brain activity; diseased states; dynamic functional neuroimaging techniques; electrophysiological source imaging; functional connectivity imaging; multimodal neuroimaging integrating fMRI; normal brain functions; Brain models; Electroencephalography; Head; Imaging; Spatial resolution; Electroencephalography (EEG); electrophysiological imaging; functional connectivity; functional magnetic resonance imaging (fMRI); magnetoencephalography (MEG); source imaging; Brain; Brain Mapping; Electroencephalography; Humans; Magnetic Resonance Imaging; Magnetoencephalography; Nerve Net;
  • fLanguage
    English
  • Journal_Title
    Biomedical Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9294
  • Type

    jour

  • DOI
    10.1109/TBME.2011.2139210
  • Filename
    5742982