Order patterns networks (orpan) - A method to estimate time-evolving functional connectivity from multivariate time series
dc.bibliographicCitation.journalTitle | Frontiers in Computational Neuroscience | eng |
dc.bibliographicCitation.volume | 6 | eng |
dc.contributor.author | Schinkel, S. | |
dc.contributor.author | Zamora-López, G. | |
dc.contributor.author | Dimigen, O. | |
dc.contributor.author | Sommer, W. | |
dc.contributor.author | Kurths, J. | |
dc.date.accessioned | 2020-10-28T14:52:50Z | |
dc.date.available | 2020-10-28T14:52:50Z | |
dc.date.issued | 2012 | |
dc.description.abstract | Complex networks provide an excellent framework for studying the function of the human brain activity. Yet estimating functional networks from measured signals is not trivial, especially if the data is non-stationary and noisy as it is often the case with physiological recordings. In this article we propose a method that uses the local rank structure of the data to define functional links in terms of identical rank structures. The method yields temporal sequences of networks which permits to trace the evolution of the functional connectivity during the time course of the observation. We demonstrate the potentials of this approach with model data as well as with experimental data from an electrophysiological study on language processing. | eng |
dc.description.version | publishedVersion | eng |
dc.identifier.uri | https://doi.org/10.34657/4457 | |
dc.identifier.uri | https://oa.tib.eu/renate/handle/123456789/5828 | |
dc.language.iso | eng | eng |
dc.publisher | Lausanne : Frontiers Research Foundation | eng |
dc.relation.doi | https://doi.org/10.3389/fncom.2012.00091 | |
dc.relation.issn | 1662-5188 | |
dc.rights.license | CC BY 3.0 Unported | eng |
dc.rights.uri | https://creativecommons.org/licenses/by/3.0/ | eng |
dc.subject.ddc | 004 | eng |
dc.subject.other | EEG | eng |
dc.subject.other | ERP | eng |
dc.subject.other | Functional networks | eng |
dc.subject.other | Network reconstruction | eng |
dc.subject.other | Order patterns | eng |
dc.subject.other | Semantic priming | eng |
dc.subject.other | Time series analysis | eng |
dc.subject.other | Complex networks | eng |
dc.subject.other | Electrophysiological studies | eng |
dc.subject.other | Functional connectivity | eng |
dc.subject.other | Functional links | eng |
dc.subject.other | Functional network | eng |
dc.subject.other | Human brain | eng |
dc.subject.other | Language processing | eng |
dc.subject.other | Measured signals | eng |
dc.subject.other | Model data | eng |
dc.subject.other | Multivariate time series | eng |
dc.subject.other | Network reconstruction | eng |
dc.subject.other | Nonstationary | eng |
dc.subject.other | Order patterns | eng |
dc.subject.other | Physiological recordings | eng |
dc.subject.other | Rank structure | eng |
dc.subject.other | Temporal sequences | eng |
dc.subject.other | Time course | eng |
dc.subject.other | Brain | eng |
dc.subject.other | Electroencephalography | eng |
dc.subject.other | Electrophysiology | eng |
dc.subject.other | Enterprise resource planning | eng |
dc.subject.other | Semantics | eng |
dc.subject.other | Time series analysis | eng |
dc.subject.other | adult | eng |
dc.subject.other | article | eng |
dc.subject.other | brain electrophysiology | eng |
dc.subject.other | brain function | eng |
dc.subject.other | electroencephalogram | eng |
dc.subject.other | event related potential | eng |
dc.subject.other | female | eng |
dc.subject.other | human | eng |
dc.subject.other | human experiment | eng |
dc.subject.other | intermethod comparison | eng |
dc.subject.other | k nearest neighbor | eng |
dc.subject.other | language processing | eng |
dc.subject.other | latent period | eng |
dc.subject.other | male | eng |
dc.subject.other | mathematical analysis | eng |
dc.subject.other | mathematical computing | eng |
dc.subject.other | mathematical model | eng |
dc.subject.other | multivariate analysis | eng |
dc.subject.other | neurophysiology | eng |
dc.subject.other | order pattern network | eng |
dc.subject.other | semantics | eng |
dc.subject.other | time series analysis | eng |
dc.title | Order patterns networks (orpan) - A method to estimate time-evolving functional connectivity from multivariate time series | eng |
dc.type | Article | eng |
dc.type | Text | eng |
tib.accessRights | openAccess | eng |
wgl.contributor | PIK | eng |
wgl.subject | Informatik | eng |
wgl.type | Zeitschriftenartikel | eng |
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