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  Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation

Pesaran, B., Vinck, M., Einevoll, G. T., Sirota, A., Fries, P., Siegel, M., et al. (2018). Investigating large-scale brain dynamics using field potential recordings: analysis and interpretation. Nature Neuroscience, 21(7), 903-919. doi:10.1038/s41593-018-0171-8.

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Pesaran_2018_InvestigatingLarge-scale.pdf (Verlagsversion), 3MB
 
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2018
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https://www.nature.com/articles/s41593-018-0171-8 (Verlagsversion)
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 Urheber:
Pesaran, Bijan, Autor
Vinck, Martin1, 2, Autor                 
Einevoll, Gaute T., Autor
Sirota, Anton, Autor
Fries, Pascal1, 3, Autor                 
Siegel, Markus, Autor
Truccolo, Wilson, Autor
Schroeder, Charles E., Autor
Srinivasan, Ramesh, Autor
Affiliations:
1Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstr. 46, 60528 Frankfurt, DE, ou_2074314              
2Vinck Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, DE, ou_3381242              
3Fries Lab, Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society, Max Planck Society, Deutschordenstraße 46, 60528 Frankfurt, DE, ou_3381216              

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Schlagwörter: Action Potentials/*physiology Animals Brain/*physiology Electroencephalography/*methods Humans Nerve Net/*physiology Neurons/*physiology
 Zusammenfassung: New technologies to record electrical activity from the brain on a massive scale offer tremendous opportunities for discovery. Electrical measurements of large-scale brain dynamics, termed field potentials, are especially important to understanding and treating the human brain. Here, our goal is to provide best practices on how field potential recordings (electroencephalograms, magnetoencephalograms, electrocorticograms and local field potentials) can be analyzed to identify large-scale brain dynamics, and to highlight critical issues and limitations of interpretation in current work. We focus our discussion of analyses around the broad themes of activation, correlation, communication and coding. We provide recommendations for interpreting the data using forward and inverse models. The forward model describes how field potentials are generated by the activity of populations of neurons. The inverse model describes how to infer the activity of populations of neurons from field potential recordings. A recurring theme is the challenge of understanding how field potentials reflect neuronal population activity given the complexity of the underlying brain systems.

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 Datum: 2016-12-012018-05-012018-06-252018
 Publikationsstatus: Erschienen
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 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1038/s41593-018-0171-8
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Titel: Nature Neuroscience
  Andere : Nat. Neurosci.
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: New York, NY : Nature America Inc.
Seiten: - Band / Heft: 21 (7) Artikelnummer: - Start- / Endseite: 903 - 919 Identifikator: ISSN: 1097-6256
CoNE: https://pure.mpg.de/cone/journals/resource/954925610931