GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC
MODELS

D 2016

GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS

LABOUNEK, René, David JANECEK, Radek MAREČEK, Martin LAMOŠ, Tomáš SLAVÍČEK et. al.

Basic information

Original name

GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS

Authors

LABOUNEK, René (203 Czech Republic, guarantor, belonging to the institution), David JANECEK (203 Czech Republic), Radek MAREČEK (203 Czech Republic, belonging to the institution), Martin LAMOŠ (203 Czech Republic, belonging to the institution), Tomáš SLAVÍČEK (203 Czech Republic, belonging to the institution), Michal MIKL (203 Czech Republic, belonging to the institution), Jaromir BASTINEC (203 Czech Republic), Petr BEDNAŘÍK (203 Czech Republic, belonging to the institution), David BRIDWELL (840 United States of America), Milan BRÁZDIL (203 Czech Republic, belonging to the institution) and Jiri JAN (203 Czech Republic)

Edition

NEW YORK, 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI), p. 767-770, 4 pp. 2016

Publisher

IEEE

Other information

Language

English

Type of outcome

Stať ve sborníku

Field of Study

20600 2.6 Medical engineering

Country of publisher

United States of America

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

electronic version available online

References:

URL

RIV identification code

RIV/00216224:14740/16:00089348

Organization unit

Central European Institute of Technology

ISBN

978-1-4799-2349-6

ISSN

DOI

http://dx.doi.org/10.1109/ISBI.2016.7493379

UT WoS

000386377400182

Keywords in English

Simultaneous EEG-fMRI; heuristic model; GLM; ICA

Abstract

V originále

The aim of the current study is visualization of task-related variability in EEG-fMRI data, performed as a blind-search analysis without stimulus timings, using a methodology that is based on Kilner's et al. heuristic approach [2]. We show that filters of the relative EEG spectra with different frequency responses visualize different task-related brain networks. The effect is more pronounced within an event-related oddball paradigm (i.e. detecting rare visual targets) than within a block-design semantic decision paradigm (i.e. detecting semantic errors). The mutual information between different EEG-fMRI activation maps calculated with filters of different frequency responses appears stable between the different paradigms. We also introduce preliminary results implementing the heuristic analysis with spatiospectral EEG components, where the filter response has two dimensions and depends on frequency and channels.

Links

ED1.1.00/02.0068, research and development project

Name: CEITEC - central european institute of technology

ED3.2.00/08.0144, research and development project

Name: CERIT Scientific Cloud

LM2010005, research and development project

Name: Velká infrastruktura CESNET (Acronym: VI CESNET)

Investor: Ministry of Education, Youth and Sports of the CR

Citovat

LABOUNEK, René, David JANECEK, Radek MAREČEK, Martin LAMOŠ, Tomáš SLAVÍČEK, Michal MIKL, Jaromir BASTINEC, Petr BEDNAŘÍK, David BRIDWELL, Milan BRÁZDIL and Jiri JAN. GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS (Generalized EEG-FMRI Spectral and Spatiospectral Heuristic Models). Online. In 2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI). NEW YORK: IEEE, 2016, p. 767-770. ISBN 978-1-4799-2349-6. Available from: https://dx.doi.org/10.1109/ISBI.2016.7493379.

@inproceedings{1334177,
   author = {Labounek, René and Janecek, David and Mareček, Radek and Lamoš, Martin and Slavíček, Tomáš and Mikl, Michal and Bastinec, Jaromir and Bednařík, Petr and Bridwell, David and Brázdil, Milan and Jan, Jiri},
   address = {NEW YORK},
   booktitle = {2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)},
   doi = {http://dx.doi.org/10.1109/ISBI.2016.7493379},
   keywords = {Simultaneous EEG-fMRI; heuristic model; GLM; ICA},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {NEW YORK},
   isbn = {978-1-4799-2349-6},
   pages = {767-770},
   publisher = {IEEE},
   title = {GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS},
   url = {http://ieeexplore.ieee.org/document/7493379/?arnumber=7493379&newsearch=true&queryText=labounek},
   year = {2016}
}

TY  - JOUR
ID  - 1334177
AU  - Labounek, René - Janecek, David - Mareček, Radek - Lamoš, Martin - Slavíček, Tomáš - Mikl, Michal - Bastinec, Jaromir - Bednařík, Petr - Bridwell, David - Brázdil, Milan - Jan, Jiri
PY  - 2016
TI  - GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS
PB  - IEEE
CY  - NEW YORK
SN  - 9781479923496
KW  - Simultaneous EEG-fMRI
KW  - heuristic model
KW  - GLM
KW  - ICA
UR  - http://ieeexplore.ieee.org/document/7493379/?arnumber=7493379&newsearch=true&queryText=labounek
L2  - http://ieeexplore.ieee.org/document/7493379/?arnumber=7493379&newsearch=true&queryText=labounek
N2  - The aim of the current study is visualization of task-related variability in EEG-fMRI data, performed as a blind-search analysis without stimulus timings, using a methodology that is based on Kilner's et al. heuristic approach [2]. We show that filters of the relative EEG spectra with different frequency responses visualize different task-related brain networks. The effect is more pronounced within an event-related oddball paradigm (i.e. detecting rare visual targets) than within a block-design semantic decision paradigm (i.e. detecting semantic errors). The mutual information between different EEG-fMRI activation maps calculated with filters of different frequency responses appears stable between the different paradigms. We also introduce preliminary results implementing the heuristic analysis with spatiospectral EEG components, where the filter response has two dimensions and depends on frequency and channels.
ER  -

LABOUNEK, René, David JANECEK, Radek MAREČEK, Martin LAMOŠ, Tomáš SLAVÍČEK, Michal MIKL, Jaromir BASTINEC, Petr BEDNAŘÍK, David BRIDWELL, Milan BRÁZDIL and Jiri JAN. GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS (Generalized EEG-FMRI Spectral and Spatiospectral Heuristic Models). Online. In \textit{2016 IEEE 13TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI)}. NEW YORK: IEEE, 2016, p.~767-770. ISBN~978-1-4799-2349-6. Available from: https://dx.doi.org/10.1109/ISBI.2016.7493379.

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