title: A study of event related potential frequency domain coherency using multichannel electroencephalogram subspace analysis.
abstract: BACKGROUND
  Event related potentials (ERP) are time-locked electrical activities of the brain in direct response to a specific sensory, cognitive, or motor stimulus. ERP components, such as the P300 wave, which are involved in the process of decision-making, help scientists diagnose specific cognitive disabilities.
  
  
  METHODS
  In this study, we utilize the angles between multichannel electroencephalogram (EEG) subspaces in different frequency bands, as a similarity factor for studying the spatial coherency between ERP frequency responses. A matched filter is used to enhance the ERP from background EEG.
  
  
  RESULTS
  While previous researches have focused on frequencies below 10 Hz, as the major frequency band of ERP, it is shown that by using the proposed method, significant ERP-related information can also be found in the 25-40 Hz band. These frequency bands are selected by calculating the correlation coefficient between P300 response segments and synthetic EEG, and ERP segments without P300 waves, and by rejecting the bands having the most association with background EEG and non-P300 components.
  
  
  METHODS
  The significance of the results is assessed by real EEG acquired in brain computer interface experiments versus synthetic EEG produced by existing methods in the literature, to assure that the results are not systematic side effects of the proposed framework.
  
  
  CONCLUSIONS
  The overall results show that the equivalent dipoles corresponding to narrow-band events in the brain are spatially coherent within different (not necessarily adjacent) frequency bands. The results of this study can lead into novel perspectives in ERP studies.
authors: School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran.
authors: Fatemeh
authors: F
authors: Razavipour
authors: School of Electrical and Computer Engineering, Shiraz University, Shiraz, Iran. Electronic address: rsameni@shirazu.ac.ir.
authors: Reza
authors: R
authors: Sameni
mesh_terms: D000465:Algorithms; D001921:Brain / Q000502:physiology*; D004569:Electroencephalography / Q000379:methods*; D018913:Event-Related Potentials, P300 / Q000502:physiology*; D006801:Humans; D012815:Signal Processing, Computer-Assisted
keywords: Electroencephalogram frequency coherency; Electroencephalogram subspace analysis; Event related potentials; Narrow-band electroencephalography