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

Czech Title

Rozšíření analýzy EEG/fMRI simultánních dat použitím zpracováním EEG dat

English Title

EEG/fMRI Analysis Enhancement using EEG Data Processing

Type

abstract

Language

en

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.

Czech abstract

Elektroencefalografie a funkční magnetická rezonance jsou dvě nejběžnější techniky používané v neurovědním výzkumu. V poslední době je zvýšený zájem o analýzu simultánně měřených dat z obou modalit. Hlavní motivace je v dosažení nejlepšího možného časového (pomocí EEG) a prostorového (pomocí fMRI) rozlišení pro analyzovaná data. Tento příspěvek popisuje jak může zpracování EEG dat vylepšit analýzu simultánních EEG/fMRI dat.

English 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

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",
  annote="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.",
  address="ÚTIA AV ČR",
  booktitle="Abstracts of Contributions to 7th International Workshop on Data-Algorithms-Decision Making",
  chapter="75148",
  edition="2011",
  institution="ÚTIA AV ČR",
  year="2011",
  month="november",
  pages="42--42",
  publisher="ÚTIA AV ČR",
  type="abstract"
}