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Brain Topography

Ausgabe 1/2018

Special Issue: Multisubject Decomposition of EEG—Methods and Applications

Inhalt (13 Artikel)

Original Paper

Independent Vector Analysis for SSVEP Signal Enhancement, Detection, and Topographical Mapping

Darren K. Emge, François-Benoît Vialatte, Gérard Dreyfus, Tülay Adalı

Original Paper

A Tutorial Review on Multi-subject Decomposition of EEG

René J. Huster, Liisa Raud

Open Access Original Paper

Differences in Cortical Sources of the Event-Related P3 Potential Between Young and Old Participants Indicate Frontal Compensation

R. van Dinteren, R. J. Huster, M. L. A. Jongsma, R. P. C. Kessels, M. Arns

Original Paper

Spatiospectral Decomposition of Multi-subject EEG: Evaluating Blind Source Separation Algorithms on Real and Realistic Simulated Data

David A. Bridwell, Srinivas Rachakonda, Rogers F. Silva, Godfrey D. Pearlson, Vince D. Calhoun

Original Paper

Stable Scalp EEG Spatiospectral Patterns Across Paradigms Estimated by Group ICA

René Labounek, David A. Bridwell, Radek Mareček, Martin Lamoš, Michal Mikl, Tomáš Slavíček, Petr Bednařík, Jaromír Baštinec, Petr Hluštík, Milan Brázdil, Jiří Jan

Original Paper

EEG Signatures of Dynamic Functional Network Connectivity States

E. A. Allen, E. Damaraju, T. Eichele, L. Wu, V. D. Calhoun

Short Communication

Real-Time Clustered Multiple Signal Classification (RTC-MUSIC)

Christoph Dinh, Lorenz Esch, Johannes Rühle, Steffen Bollmann, Daniel Güllmar, Daniel Baumgarten, Matti S. Hämäläinen, Jens Haueisen

Open Access Original Paper

Online Reduction of Artifacts in EEG of Simultaneous EEG-fMRI Using Reference Layer Adaptive Filtering (RLAF)

David Steyrl, Gunther Krausz, Karl Koschutnig, Günter Edlinger, Gernot R. Müller-Putz

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