dc.contributor.author	Bartz, Sarah
dc.contributor.author	Andreou, Christina
dc.contributor.author	Nolte, Guido
dc.date.accessioned	2020-10-29T14:49:39Z
dc.date.available	2020-10-29T14:49:39Z
dc.date.issued	2020-10-26
dc.date.updated	2020-10-26T05:30:41Z
dc.description.abstract	In this paper we make two contributions to the analysis of brain oscillations with CFC techniques. First, we introduce a new bispectral CFC measure which is selective to couplings between three or more brain sources. This measure can be derived from ordinary cross-bispectra by performing a total-antisymmetrization operation on them. Significant coupling values can then be attributed to at least three interacting signals. This selectivity to the number of sources can be helpful to test hypotheses on the number of brain sources involved in the generation of commonly observed brain oscillations, such as the alpha rhythm. In a second step we present the correct empirical distribution for the coupling measure, which is necessary to properly assess the significance of coupling results. More importantly however, this corrected statistic is not limited to our particular measure, but holds for all complex-valued coupling estimators. We illustrate how the very common misassumption of empirical normality of such estimators can lead to a systematic underestimation of p-values, the breakdown of multiple comparison control procedures and in consequence a drastic inflation of the number of false positives.	en
dc.description.sponsorship	DFG, 178316478, SFB 936: Multi-Site Communication in the Brain - Funktionelle Kopplung neuronaler Aktivität im ZNS	en
dc.description.sponsorship	DFG, 261402652, TRR 169: Crossmodales Lernen: Adaptivität, Prädiktion und Interaktion	en
dc.identifier.eissn	1662-5196
dc.identifier.uri	https://depositonce.tu-berlin.de/handle/11303/11803
dc.identifier.uri	http://dx.doi.org/10.14279/depositonce-10692
dc.language.iso	en	en
dc.rights.uri	https://creativecommons.org/licenses/by/4.0/	en
dc.subject.ddc	610 Medizin und Gesundheit	de
dc.subject.other	bicoherence	en
dc.subject.other	EEG	en
dc.subject.other	MEG	en
dc.subject.other	artifacts of volume conduction	en
dc.subject.other	cross-frequency coupling	en
dc.title	Beyond Pairwise Interactions: The Totally Antisymmetric Part of the Bispectrum as Coupling Measure of at Least Three Interacting Sources	en
dc.type	Article	en
dc.type.version	publishedVersion	en
dcterms.bibliographicCitation.articlenumber	573750	en
dcterms.bibliographicCitation.doi	10.3389/fninf.2020.573750	en
dcterms.bibliographicCitation.journaltitle	Frontiers in Neuroinformatics	en
dcterms.bibliographicCitation.originalpublishername	Frontiers	en
dcterms.bibliographicCitation.originalpublisherplace	Lausanne	en
dcterms.bibliographicCitation.volume	14	en
tub.accessrights.dnb	free	en
tub.affiliation	Fak. 4 Elektrotechnik und Informatik::Inst. Softwaretechnik und Theoretische Informatik::FG Maschinelles Lernen	de
tub.affiliation.faculty	Fak. 4 Elektrotechnik und Informatik	de
tub.affiliation.group	FG Maschinelles Lernen	de
tub.affiliation.institute	Inst. Softwaretechnik und Theoretische Informatik	de
tub.publisher.universityorinstitution	Technische Universität Berlin	en

Beyond Pairwise Interactions: The Totally Antisymmetric Part of the Bispectrum as Coupling Measure of at Least Three Interacting Sources

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