Stable EEG Spatiospectral Sources Using Relative Power as
Group-ICA Input

D 2019

Stable EEG Spatiospectral Sources Using Relative Power as Group-ICA Input

LABOUNEK, R., D.A. BRIDWELL, Radek MAREČEK, Martin LAMOŠ, Michal MIKL et. al.

Základní údaje

Originální název

Stable EEG Spatiospectral Sources Using Relative Power as Group-ICA Input

Autoři

LABOUNEK, R., D.A. BRIDWELL, Radek MAREČEK (203 Česká republika, domácí), Martin LAMOŠ (203 Česká republika, domácí), Michal MIKL (203 Česká republika, domácí), Milan BRÁZDIL (203 Česká republika, garant, domácí), J. JAN a P. HLUSTIK

Vydání

NEW YORK, WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 2, od s. 125-128, 4 s. 2019

Nakladatel

SPRINGER

Další údaje

Jazyk

angličtina

Typ výsledku

Stať ve sborníku

Obor

20601 Medical engineering

Stát vydavatele

Spojené státy

Utajení

není předmětem státního či obchodního tajemství

Forma vydání

elektronická verze "online"

Kód RIV

RIV/00216224:14740/19:00113467

Organizační jednotka

Středoevropský technologický institut

ISSN

DOI

http://dx.doi.org/10.1007/978-981-10-9038-7_22

UT WoS

000449742700022

Klíčová slova anglicky

EEG; Spatiospectral ICA; Multisubject blind source separation

Štítky

rivok

Příznaky

Mezinárodní význam, Recenzováno

Změněno: 1. 4. 2020 15:46, Mgr. Pavla Foltynová, Ph.D.

Anotace

V originále

Within the last decade, various blind source separation algorithms (BSS) isolating distinct EEG oscillations were derived and implemented. Group Independent Component Analysis (group-ICA) is a promising tool for decomposing spatiospectral EEG maps across multiple subjects. However, researchers are faced with many preprocessing options prior to performing group-ICA, which potentially influences the results. To examine the influence of preprocessing steps, within this article we compare results derived from group-ICA using the absolute power of spatiospectral maps and the relative power of spatiospectral maps. Within a previous study, we used K-means clustering to demonstrate group-ICA of absolute power spatiospectral maps generates sources which are stable across different paradigms (i.e. resting-state, semantic decision, visual oddball) Within the current study, we compare these maps with those obtained using relative power of spatiospectral maps as input to group-ICA. We find that relative EEG power contains 10 stable spatiospectral patterns which were similar to those observed using absolute power as inputs. Interestingly, relative power revealed two c-band (20-40 Hz) patterns which were present across 3 paradigms, but not present using absolute power. This finding suggests that relative power potentially emphasizes low energy signals which are obscured by the high energy low frequency which dominates absolute power measures.

Návaznosti

LM2010005, projekt VaV

Název: Velká infrastruktura CESNET (Akronym: VI CESNET)

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

Citovat

LABOUNEK, R., D.A. BRIDWELL, Radek MAREČEK, Martin LAMOŠ, Michal MIKL, Milan BRÁZDIL, J. JAN a P. HLUSTIK. Stable EEG Spatiospectral Sources Using Relative Power as Group-ICA Input. Online. In Lhotska, L Sukupova, L Lackovic, I Ibbott, GS. WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 2. NEW YORK: SPRINGER, 2019, s. 125-128. ISSN 1680-0737. Dostupné z: https://dx.doi.org/10.1007/978-981-10-9038-7_22.

@inproceedings{1641745,
   author = {Labounek, R. and Bridwell, D.A. and Mareček, Radek and Lamoš, Martin and Mikl, Michal and Brázdil, Milan and Jan, J. and Hlustik, P.},
   address = {NEW YORK},
   booktitle = {WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 2},
   doi = {http://dx.doi.org/10.1007/978-981-10-9038-7_22},
   editor = {Lhotska, L Sukupova, L Lackovic, I Ibbott, GS},
   keywords = {EEG; Spatiospectral ICA; Multisubject blind source separation},
   howpublished = {elektronická verze "online"},
   language = {eng},
   location = {NEW YORK},
   pages = {125-128},
   publisher = {SPRINGER},
   title = {Stable EEG Spatiospectral Sources Using Relative Power as Group-ICA Input},
   year = {2019}
}

TY  - JOUR
ID  - 1641745
AU  - Labounek, R. - Bridwell, D.A. - Mareček, Radek - Lamoš, Martin - Mikl, Michal - Brázdil, Milan - Jan, J. - Hlustik, P.
PY  - 2019
TI  - Stable EEG Spatiospectral Sources Using Relative Power as Group-ICA Input
PB  - SPRINGER
CY  - NEW YORK
KW  - EEG
KW  - Spatiospectral ICA
KW  - Multisubject blind source separation
N2  - Within the last decade, various blind source separation algorithms (BSS) isolating distinct EEG oscillations were derived and implemented. Group Independent Component Analysis (group-ICA) is a promising tool for decomposing spatiospectral EEG maps across multiple subjects. However, researchers are faced with many preprocessing options prior to performing group-ICA, which potentially influences the results. To examine the influence of preprocessing steps, within this article we compare results derived from group-ICA using the absolute power of spatiospectral maps and the relative power of spatiospectral maps. Within a previous study, we used K-means clustering to demonstrate group-ICA of absolute power spatiospectral maps generates sources which are stable across different paradigms (i.e. resting-state, semantic decision, visual oddball) Within the current study, we compare these maps with those obtained using relative power of spatiospectral maps as input to group-ICA. We find that relative EEG power contains 10 stable spatiospectral patterns which were similar to those observed using absolute power as inputs. Interestingly, relative power revealed two c-band (20-40 Hz) patterns which were present across 3 paradigms, but not present using absolute power. This finding suggests that relative power potentially emphasizes low energy signals which are obscured by the high energy low frequency which dominates absolute power measures.
ER  -

LABOUNEK, R., D.A. BRIDWELL, Radek MAREČEK, Martin LAMOŠ, Michal MIKL, Milan BRÁZDIL, J. JAN a P. HLUSTIK. Stable EEG Spatiospectral Sources Using Relative Power as Group-ICA Input. Online. In Lhotska, L Sukupova, L Lackovic, I Ibbott, GS. \textit{WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 2}. NEW YORK: SPRINGER, 2019, s.~125-128. ISSN~1680-0737. Dostupné z: https://dx.doi.org/10.1007/978-981-10-9038-7\_{}22.

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