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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14740%2F19%3A00113467" target="_blank" >RIV/00216224:14740/19:00113467 - isvavai.cz</a>

  • Result on the web

    <a href="http://dx.doi.org/10.1007/978-981-10-9038-7_22" target="_blank" >http://dx.doi.org/10.1007/978-981-10-9038-7_22</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/978-981-10-9038-7_22" target="_blank" >10.1007/978-981-10-9038-7_22</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

  • OECD FORD branch

    20601 - Medical engineering

Result continuities

  • Project

    <a href="/en/project/LM2010005" target="_blank" >LM2010005: Large Infrastructure CESNET</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    WORLD CONGRESS ON MEDICAL PHYSICS AND BIOMEDICAL ENGINEERING 2018, VOL 2

  • ISBN

  • ISSN

    1680-0737

  • e-ISSN

  • Number of pages

    4

  • Pages from-to

    125-128

  • Publisher name

    SPRINGER

  • Place of publication

    NEW YORK

  • Event location

    Prague, CZECH REPUBLIC

  • Event date

    Jun 3, 2018

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000449742700022