Detail publikačního výsledku

EEG/fMRI Analysis Enhancement using EEG Data Processing

LAMOŠ, M.; LABOUNEK, R.; JAN, J.

Originální název

EEG/fMRI Analysis Enhancement using EEG Data Processing

Anglický název

EEG/fMRI Analysis Enhancement using EEG Data Processing

Druh

Abstrakt

Originální abstrakt

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.

Anglický abstrakt

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.

Klíčová slova

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

Klíčová slova v angličtině

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

Autoři

LAMOŠ, M.; LABOUNEK, R.; JAN, J.

Rok RIV

2012

Vydáno

28.11.2011

Nakladatel

ÚTIA AV ČR

Místo

Praha, ČR

Kniha

Abstracts of Contributions to 7th International Workshop on Data-Algorithms-Decision Making

Edice

2011

Strany od

42

Strany do

42

Strany počet

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"
}