Detail publikace

Heuristic model in joint EEG-fMRI analysis

Originální název

Heuristic model in joint EEG-fMRI analysis

Anglický název

Heuristic model in joint EEG-fMRI analysis

Jazyk

en

Originální abstrakt

This work deals with the joint EEG-fMRI analysis based on the heuristic model. There is described principle of the heuristic model which assumes that the BOLD (blood oxygen level depend) signal measured by fMRI (functional magnetic resonance imaging) is directly proportional to the spectral shift in the EEG signal. The paper describes algorithm of calculations which was implemented and tested on real data from 22 subjects. The study also monitors effect of different EEG information selection from electrodes of interest (averaging or principal component analysis).

Anglický abstrakt

This work deals with the joint EEG-fMRI analysis based on the heuristic model. There is described principle of the heuristic model which assumes that the BOLD (blood oxygen level depend) signal measured by fMRI (functional magnetic resonance imaging) is directly proportional to the spectral shift in the EEG signal. The paper describes algorithm of calculations which was implemented and tested on real data from 22 subjects. The study also monitors effect of different EEG information selection from electrodes of interest (averaging or principal component analysis).

BibTex


@inproceedings{BUT118239,
  author="David {Janeček} and René {Labounek}",
  title="Heuristic model in joint EEG-fMRI analysis",
  annote="This work deals with the joint EEG-fMRI analysis based on the heuristic model. There is described principle of the heuristic model which assumes that the BOLD (blood oxygen level depend) signal measured by fMRI (functional magnetic resonance imaging) is directly proportional to the spectral shift in the EEG signal. The paper describes algorithm of calculations which was implemented and tested on real data from 22 subjects. The study also monitors effect of different EEG information selection from electrodes of interest (averaging or principal component analysis).",
  address="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  booktitle="Proceedings of the 21st Conference STUDENT EEICT 2015",
  chapter="118239",
  howpublished="online",
  institution="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  year="2015",
  month="april",
  pages="209--211",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  type="conference paper"
}