Analysis of connections between simultaneous EEG and fMRI data

R. Labounek, M. Lamoš, R. Mareček, J. Jan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Neurologists are looking for connections between simultaneous EEG and fMRI data, trying to take advantages of both methods. EEG gives them a very good time resolution of the neuronal activity, while a great spatial resolution is provided by the MRI scanner, when the BOLD signal is measured. The analysis of fMRI images is mostly evaluated by the computer program Statistical Parametric Mapping (SPM). The EEG regressor builder is a software which was created in this study. It loads, processes and joins together parameters of simultaneous EEG and fMRI data into the analysis of the SPM. It is intended to help neurologists to preprocess EEG signals or it can make the whole analysis automatically. The second part of the study compares results from published analyses with the results calculated by the EEG regressor builder. The processed data was measured in St. Anne's University Hospital, Brno at First Department of Neurology. © 2012 Institute of Telecommunica.
Original languageEnglish (US)
Title of host publication2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012
Pages576-579
Number of pages4
StatePublished - Jul 23 2012
Event2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012 - Vienna, Austria
Duration: Apr 11 2012Apr 13 2012

Publication series

Name2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012

Conference

Conference2012 19th International Conference on Systems, Signals and Image Processing, IWSSIP 2012
Country/TerritoryAustria
CityVienna
Period4/11/124/13/12

Keywords

  • EEG signal
  • fMRI imaging
  • general linear model
  • regressor
  • signal processing
  • statistical para-metric mapping

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