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WeightNameValue
1000 Titel
  • Probing cortical excitability using rapid frequency tagging
1000 Autor/in
  1. Zhigalov, A. |
  2. Herring, J.D. |
  3. Herpers, J. |
  4. Bergmann, Til Ole |
  5. Jensen, O. |
1000 Erscheinungsjahr 2019
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2019-07-15
1000 Erschienen in
1000 Quellenangabe
  • 195:59-66
1000 FRL-Sammlung
1000 Copyrightjahr
  • 2019
1000 Lizenz
1000 Verlagsversion
  • https://doi.org/10.1016/j.neuroimage.2019.03.056 |
  • https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6547046/ |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • Frequency tagging has been widely used to study the role of visual selective attention. Presenting a visual stimulus flickering at a specific frequency generates so-called steady-state visually evoked responses. However, frequency tagging is mostly done at lower frequencies (<30 Hz). This produces a visible flicker, potentially interfering with both perception and neuronal oscillations in the theta, alpha and beta band. To overcome these problems, we used a newly developed projector with a 1440 Hz refresh rate allowing for frequency tagging at higher frequencies. We asked participants to perform a cued spatial attention task in which imperative pictorial stimuli were presented at 63 Hz or 78 Hz while measuring whole-head magnetoencephalography (MEG). We found posterior sensors to show a strong response at the tagged frequency. Importantly, this response was enhanced by spatial attention. Furthermore, we reproduced the typical modulations of alpha band oscillations, i.e., decrease in the alpha power contralateral to the attentional cue. The decrease in alpha power and increase in frequency tagged signal with attention correlated over subjects. We hereby provide proof-of-principle for the use of high-frequency tagging to study sensory processing and neuronal excitability associated with attention.
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
  1. https://frl.publisso.de/adhoc/uri/WmhpZ2Fsb3YsIEEu|https://frl.publisso.de/adhoc/uri/SGVycmluZywgSi5ELg==|https://frl.publisso.de/adhoc/uri/SGVycGVycywgSi4=|https://orcid.org/0000-0002-2282-6618|https://frl.publisso.de/adhoc/uri/SmVuc2VuLCBPLg==
1000 Label
1000 Förderer
  1. James S. McDonnell Foundation |
  2. Wellcome Trust |
  3. Biotechnology and Biological Sciences Research Council |
  4. Office of the Royal Society |
1000 Fördernummer
  1. 220020448
  2. 207550
  3. BB/R018723/1BB/R018723/1
  4. -
1000 Förderprogramm
  1. Understanding Human Cognition
  2. -
  3. -
  4. Wolfson Research Merit
1000 Dateien
  1. Probing cortical excitability using rapid frequency tagging
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer James S. McDonnell Foundation |
    1000 Förderprogramm Understanding Human Cognition
    1000 Fördernummer 220020448
  2. 1000 joinedFunding-child
    1000 Förderer Wellcome Trust |
    1000 Förderprogramm -
    1000 Fördernummer 207550
  3. 1000 joinedFunding-child
    1000 Förderer Biotechnology and Biological Sciences Research Council |
    1000 Förderprogramm -
    1000 Fördernummer BB/R018723/1BB/R018723/1
  4. 1000 joinedFunding-child
    1000 Förderer Office of the Royal Society |
    1000 Förderprogramm Wolfson Research Merit
    1000 Fördernummer -
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6423434.rdf
1000 Erstellt am 2020-10-12T13:04:27.326+0200
1000 Erstellt von 122
1000 beschreibt frl:6423434
1000 Bearbeitet von 218
1000 Zuletzt bearbeitet Fri Oct 01 16:40:16 CEST 2021
1000 Objekt bearb. Fri Oct 01 16:40:16 CEST 2021
1000 Vgl. frl:6423434
1000 Oai Id
  1. oai:frl.publisso.de:frl:6423434 |
1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
1000 Gegenstand von

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