Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition
Joint Authors
Hemakom, A.
Mandic, Danilo P.
Siebner, Hartwig Roman
Hansen, Sofie Therese
Gylling Safeldt, Mads
Krohne, Lærke Karen
Madsen, Kristoffer Hougaard
Hansen, Lars Kai
Source
Computational Intelligence and Neuroscience
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-03-14
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Neuronal activity is composed of synchronous and asynchronous oscillatory activity at different frequencies.
The neuronal oscillations occur at time scales well matched to the temporal resolution of electroencephalography (EEG); however, to derive meaning from the electrical brain activity as measured from the scalp, it is useful to decompose the EEG signal in space and time.
In this study, we elaborate on the investigations into source-based signal decomposition of EEG.
Using source localization, the electrical brain signal is spatially unmixed and the neuronal dynamics from a region of interest are analyzed using empirical mode decomposition (EMD), a technique aimed at detecting periodic signals.
We demonstrate, first in simulations, that the EMD is more accurate when applied to the spatially unmixed signal compared to the scalp-level signal.
Furthermore, on EEG data recorded simultaneously with transcranial magnetic stimulation (TMS) over the hand area of the primary motor cortex, we observe a link between the peak to peak amplitude of the motor-evoked potential (MEP) and the phase of the decomposed localized electrical activity before TMS onset.
The results thus encourage combination of source localization and EMD in the pursuit of further insight into the mechanisms of the brain with respect to the phase and frequency of the electrical oscillations and their cortical origin.
American Psychological Association (APA)
Hansen, Sofie Therese& Hemakom, A.& Gylling Safeldt, Mads& Krohne, Lærke Karen& Madsen, Kristoffer Hougaard& Siebner, Hartwig Roman…[et al.]. 2019. Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Computational Intelligence and Neuroscience،Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1129499
Modern Language Association (MLA)
Hansen, Sofie Therese…[et al.]. Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Computational Intelligence and Neuroscience No. 2019 (2019), pp.1-15.
https://search.emarefa.net/detail/BIM-1129499
American Medical Association (AMA)
Hansen, Sofie Therese& Hemakom, A.& Gylling Safeldt, Mads& Krohne, Lærke Karen& Madsen, Kristoffer Hougaard& Siebner, Hartwig Roman…[et al.]. Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition. Computational Intelligence and Neuroscience. 2019. Vol. 2019, no. 2019, pp.1-15.
https://search.emarefa.net/detail/BIM-1129499
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1129499