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Scale-free and oscillatory spectral measures of sleep stages in humans.
Schneider, Bence; Szalárdy, Orsolya; Ujma, Péter P; Simor, Péter; Gombos, Ferenc; Kovács, Ilona; Dresler, Martin; Bódizs, Róbert.
Afiliación
  • Schneider B; Department of Cognitive Science, Budapest University of Technology and Economics, Budapest, Hungary.
  • Szalárdy O; Institute of Behavioural Sciences, Semmelweis University Budapest, Budapest, Hungary.
  • Ujma PP; Institute of Behavioural Sciences, Semmelweis University Budapest, Budapest, Hungary.
  • Simor P; Institute of Cognitive Neuroscience and Psychology, Research Centre for Natural Sciences, Budapest, Hungary.
  • Gombos F; Institute of Behavioural Sciences, Semmelweis University Budapest, Budapest, Hungary.
  • Kovács I; Institute of Psychology, ELTE, Eötvös Loránd University, Budapest, Hungary.
  • Dresler M; Department of General Psychology, Pázmány Péter Catholic University, Budapest, Hungary.
  • Bódizs R; MTA-PPKE Adolescent Development Research Group, Budapest, Hungary.
Front Neuroinform ; 16: 989262, 2022.
Article en En | MEDLINE | ID: mdl-36262840
Power spectra of sleep electroencephalograms (EEG) comprise two main components: a decaying power-law corresponding to the aperiodic neural background activity, and spectral peaks present due to neural oscillations. "Traditional" band-based spectral methods ignore this fundamental structure of the EEG spectra and thus are susceptible to misrepresenting the underlying phenomena. A fitting method that attempts to separate and parameterize the aperiodic and periodic spectral components called "fitting oscillations and one over f" (FOOOF) was applied to a set of annotated whole-night sleep EEG recordings of 251 subjects from a wide age range (4-69 years). Most of the extracted parameters exhibited sleep stage sensitivity; significant main effects and interactions of sleep stage, age, sex, and brain region were found. The spectral slope (describing the steepness of the aperiodic component) showed especially large and consistent variability between sleep stages (and low variability between subjects), making it a candidate indicator of sleep states. The limitations and arisen problems of the FOOOF method are also discussed, possible solutions for some of them are suggested.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neuroinform Año: 2022 Tipo del documento: Article País de afiliación: Hungria Pais de publicación: Suiza
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: Front Neuroinform Año: 2022 Tipo del documento: Article País de afiliación: Hungria Pais de publicación: Suiza