Source localization of subtopographic brain maps for event related potentials (ERP)


Duru A. D. , Bayram A. , Demiralp T. , ADEMOĞLU A.

28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society, New-York, United States Of America, 30 August - 03 September 2006, pp.3825-3826 identifier identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/iembs.2006.260824
  • City: New-York
  • Country: United States Of America
  • Page Numbers: pp.3825-3826

Abstract

Localization of the cognitive activity in the brain is one of the major problems in neuroscience. Current techniques for neuro-imaging are based on Functional Magnetic Resonance Imaging (fMRI). Positron Emission Tomography (PET), and Event Related Potential (ERP) recordings. The highest temporal resolution is achieved by ERP, which is crucial for temporal localization of activities. However, the spatial resolution of scalp topography for ERP is low. There is a severe limitation for the parametric inverse Solution algorithms that they can only perform well for the temporally uncorrelated sources. In this study, a spatial decomposition method is proposed to separate the temporally correlated sources using their topographies prior to their localization.