Optimizing spatial filters for the extraction of envelope-coupled neural oscillations

Sven Dahne, Vadim Nikulin, David Ramirez, Peter J. Schreier, Klaus Muller, Stefan Haufer

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Amplitude-to-Amplitude interactions between neural oscillations are of a special interest as they show how the strength of spatial synchronization in different neuronal populations relates to each other during a given task. While, previously, amplitude-to-Amplitude correlations were studied primarily on the sensor level, we present a source separation approach using spatial filters which maximize the correlation between the envelopes of brain oscillations recorded with electro-/magnetencephalography (EEG/MEG) or intracranial multichannel recordings. Our approach, which is called canonical source power correlation analysis (cSPoC), is thereby capable of extracting genuine brain oscillations solely based on their assumed coupling behavior even when the signal-to-noise ratio of the signals is low.

Original languageEnglish
Title of host publicationProceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
PublisherIEEE Computer Society
ISBN (Print)9781479941506
DOIs
Publication statusPublished - 2014 Jan 1
Event4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 - Tubingen, Germany
Duration: 2014 Jun 42014 Jun 6

Other

Other4th International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014
CountryGermany
CityTubingen
Period14/6/414/6/6

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Biomedical Engineering

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    Dahne, S., Nikulin, V., Ramirez, D., Schreier, P. J., Muller, K., & Haufer, S. (2014). Optimizing spatial filters for the extraction of envelope-coupled neural oscillations. In Proceedings - 2014 International Workshop on Pattern Recognition in Neuroimaging, PRNI 2014 [6858514] IEEE Computer Society. https://doi.org/10.1109/PRNI.2014.6858514