Cargando…
Hyperedge bundling: Data, source code, and precautions to modeling-accuracy bias to synchrony estimates
It has not been well documented that MEG/EEG functional connectivity graphs estimated with zero-lag-free interaction metrics are severely confounded by a multitude of spurious interactions (SI), i.e., the false-positive “ghosts” of true interactions [1], [2]. These SI are caused by the multivariate...
Autores principales: | Wang, Sheng H., Lobier, Muriel, Siebenhühner, Felix, Puoliväli, Tuomas, Palva, Satu, Palva, J. Matias |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996227/ https://www.ncbi.nlm.nih.gov/pubmed/29896515 http://dx.doi.org/10.1016/j.dib.2018.03.017 |
Ejemplares similares
-
Phase transfer entropy: a novel measure for effective connectivity among neuronal oscillations
por: Siebenhuehner, Felix, et al.
Publicado: (2013) -
Cross-frequency synchronization connects networks of fast and slow oscillations during visual working memory maintenance
por: Siebenhühner, Felix, et al.
Publicado: (2016) -
Genuine cross-frequency coupling networks in human resting-state electrophysiological recordings
por: Siebenhühner, Felix, et al.
Publicado: (2020) -
Genetic polymorphisms in COMT and BDNF influence synchronization dynamics of human neuronal oscillations
por: Simola, Jaana, et al.
Publicado: (2022) -
Brain criticality predicts individual levels of inter-areal synchronization in human electrophysiological data
por: Fuscà, Marco, et al.
Publicado: (2023)