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.

Základní údaje

Originální název

GENERALIZED EEG-FMRI SPECTRAL AND SPATIOSPECTRAL HEURISTIC MODELS

Autoři

LABOUNEK, René (203 Česká republika, garant, domácí); David JANECEK (203 Česká republika); Radek MAREČEK (203 Česká republika, domácí); Martin LAMOŠ (203 Česká republika, domácí); Tomáš SLAVÍČEK (203 Česká republika, domácí); Michal MIKL (203 Česká republika, domácí); Jaromir BASTINEC (203 Česká republika); Petr BEDNAŘÍK (203 Česká republika, domácí); David BRIDWELL (840 Spojené státy); Milan BRÁZDIL (203 Česká republika, domácí) a Jiri JAN (203 Česká republika)

Vydání

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

Nakladatel

IEEE

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

20600 2.6 Medical engineering

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Odkazy

URL

Kód RIV

RIV/00216224:14740/16:00089348

Organizační jednotka

Středoevropský technologický institut

ISBN

978-1-4799-2349-6

ISSN

DOI

https://doi.org/10.1109/ISBI.2016.7493379

UT WoS

000386377400182

EID Scopus

2-s2.0-84978405309

Klíčová slova anglicky

Simultaneous EEG-fMRI; heuristic model; GLM; ICA

Štítky

rivok

Změněno: 27. 4. 2017 13:10, Mgr. Eva Špillingová

Anotace

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.

Návaznosti

ED1.1.00/02.0068, projekt VaV

Název: CEITEC - central european institute of technology

ED3.2.00/08.0144, projekt VaV

Název: CERIT Scientific Cloud

LM2010005, projekt VaV

Název: Velká infrastruktura CESNET (Akronym: VI CESNET)

Investor: Ministerstvo školství, mládeže a tělovýchovy ČR, Velká infrastruktura CESNET

Citovat

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

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