Publication detail

EEG/fMRI Analysis Enhancement using EEG Data Processing

LAMOŠ, M. LABOUNEK, R. JAN, J.

Original Title

EEG/fMRI Analysis Enhancement using EEG Data Processing

Type

abstract

Language

English

Original Abstract

Electroencephalography and functional magnetic resonance imaging are two most common techniques used in neuroscience research. Currently, there is a growing interest to analyse simultaneous measured data from both modalities. The main motivation is to achieve the best time (by EEG) and spatial (by fMRI) resolution for analysed data. This paper describes how EEG data processing may enhance analysis of EEG/fMRI.

Keywords

fMRI, EEG, General Linear Model, Regressor, Source Reconstruction

Authors

LAMOŠ, M.; LABOUNEK, R.; JAN, J.

Released

28. 11. 2011

Publisher

ÚTIA AV ČR

Location

Praha, ČR

Pages from

42

Pages to

42

Pages count

1

BibTex

@misc{BUT75148,
  author="Martin {Lamoš} and René {Labounek} and Jiří {Jan}",
  title="EEG/fMRI Analysis Enhancement using EEG Data Processing",
  booktitle="Abstracts of Contributions to 7th International Workshop on Data-Algorithms-Decision Making",
  year="2011",
  series="2011",
  edition="2",
  pages="42--42",
  publisher="ÚTIA AV ČR",
  address="Praha, ČR",
  note="abstract"
}