Detail publikace

Výhody a nástrahy simultánně měřených fMRI a EEG dat

LAMOŠ, M.

Originální název

The art and pitfalls of simulatenously measured fMRI and EEG data

Český název

Výhody a nástrahy simultánně měřených fMRI a EEG dat

Anglický název

The art and pitfalls of simulatenously measured fMRI and EEG data

Typ

abstrakt

Jazyk

en

Originální abstrakt

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are two most common techniques used in neuroscience research. Currently, there is a growing interest to analyze simultaneously measured data from both modalities. The main motivation is to achieve the best temporal (by EEG) and spatial (by fMRI) resolution for the analyzed data. Another benefit resides in a simultaneous observation of the scene with two independent modalities. However, typical data preprocessing pipelines for both modalities have to be adjusted to specifics of simultaneous measurement, where acquisition of one modality influences another. Especially EEG data, which are mainly affected, contains strong artifacts. Apart from the techniques for artifacts suppression and other preprocessing steps a several approaches for data analysis will be shown on datasets of patients or healthy controls.

Český abstrakt

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are two most common techniques used in neuroscience research. Currently, there is a growing interest to analyze simultaneously measured data from both modalities. The main motivation is to achieve the best temporal (by EEG) and spatial (by fMRI) resolution for the analyzed data. Another benefit resides in a simultaneous observation of the scene with two independent modalities. However, typical data preprocessing pipelines for both modalities have to be adjusted to specifics of simultaneous measurement, where acquisition of one modality influences another. Especially EEG data, which are mainly affected, contains strong artifacts. Apart from the techniques for artifacts suppression and other preprocessing steps a several approaches for data analysis will be shown on datasets of patients or healthy controls.

Anglický abstrakt

Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are two most common techniques used in neuroscience research. Currently, there is a growing interest to analyze simultaneously measured data from both modalities. The main motivation is to achieve the best temporal (by EEG) and spatial (by fMRI) resolution for the analyzed data. Another benefit resides in a simultaneous observation of the scene with two independent modalities. However, typical data preprocessing pipelines for both modalities have to be adjusted to specifics of simultaneous measurement, where acquisition of one modality influences another. Especially EEG data, which are mainly affected, contains strong artifacts. Apart from the techniques for artifacts suppression and other preprocessing steps a several approaches for data analysis will be shown on datasets of patients or healthy controls.

Klíčová slova

fMRI, EEG, simultánní měření, preprocessing, analýza

Vydáno

15.05.2014

Strany od

16

Strany do

17

Strany počet

2

URL

BibTex


@misc{BUT109018,
  author="Martin {Lamoš}",
  title="The art and pitfalls of simulatenously measured fMRI and EEG data",
  annote="Electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) are two most common techniques used in neuroscience research. Currently, there is a growing interest to analyze simultaneously measured data from both modalities. The main motivation is to achieve the best temporal (by EEG) and spatial (by fMRI) resolution for the analyzed data. Another benefit resides in a simultaneous observation of the scene with two independent modalities.
However, typical data preprocessing pipelines for both modalities have to be adjusted to specifics of simultaneous measurement, where acquisition of one modality influences another. Especially EEG data, which are mainly affected, contains strong artifacts. Apart from the techniques for artifacts suppression and other preprocessing steps a several approaches for data analysis will be shown on datasets of patients or healthy controls.",
  booktitle="Applying Principles of Cognitive Psychology in Practise - Book of Abstracts",
  chapter="109018",
  howpublished="print",
  year="2014",
  month="may",
  pages="16--17",
  type="abstract"
}