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Mu rhythm separation from the mix with alpha rhythm: Principal component analyses and factor topography

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00023752%3A_____%2F20%3A43920457" target="_blank" >RIV/00023752:_____/20:43920457 - isvavai.cz</a>

  • Alternative codes found

    RIV/00216208:11120/20:43920412

  • Result on the web

    <a href="https://www.sciencedirect.com/science/article/pii/S0165027020303150?via%3Dihub" target="_blank" >https://www.sciencedirect.com/science/article/pii/S0165027020303150?via%3Dihub</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.jneumeth.2020.108892" target="_blank" >10.1016/j.jneumeth.2020.108892</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Mu rhythm separation from the mix with alpha rhythm: Principal component analyses and factor topography

  • Original language description

    Background: EEG mu rhythm suppression is assessed in experiments on the execution, observation and imagination of movements. It is utilised for studying of actions, language, empathy in healthy individuals and preservation of sensorimotor system functions in patients with schizophrenia and autism spectrum disorders. While EEG alpha and mu rhythms are recorded in the same frequency range (8−13 Hz), their specification becomes a serious issue. The new method: is based on the spatial and functional characteristics of the mu wave, which are: (1) the mu rhythm is located over the sensorimotor cortex; (2) it desynchronises during movement processing and does not respond on the eyes opening. In EEG recordings, we analysed the mu rhythm under conditions with eyes opened and eyes closed (baseline), and during a motor imagery task with eyes closed. EEG recordings were processed by principal component analysis (PCA). Results: The analysis of EEG data with the proposed approach revealed the maximum spectral power of mu rhythm localised in the sensorimotor areas. During motor imagery, mu rhythm was suppressed more in frontal and central sites than in occipital sites, whereas alpha rhythm was suppressed more in parietal and occipital sites. Mu rhythm desynchronization in sensorimotor sites during motor imagery was greater than alpha rhythm desynchronization. The proposed method enabled EEG mu rhythm separation from its mix with alpha rhythm. Conclusions: EEG mu rhythm separation with the proposed method satisfies its classical definition.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    30103 - Neurosciences (including psychophysiology)

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2020

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Journal of Neuroscience Methods

  • ISSN

    0165-0270

  • e-ISSN

  • Volume of the periodical

    346

  • Issue of the periodical within the volume

    "Article Number: 108892"

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    8

  • Pages from-to

    1-8

  • UT code for WoS article

    000580629300003

  • EID of the result in the Scopus database

    2-s2.0-85089506012