Unmixing Oscillatory Brain Activity by EEG Source Localization and Empirical Mode Decomposition

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ID: 9986
2019
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Abstract
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.
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therese2019unmixingcomputational Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Hansen, Sofie Therese;Hemakom, Apit;Gylling Safeldt, Mads;Krohne, Lærke Karen;Madsen, Kristoffer Hougaard;Siebner, Hartwig R.;Mandic, Danilo P.;Hansen, Lars Kai;Hansen, Sofie Therese;Hemakom, Apit;Gylling Safeldt, Mads;Krohne, Lærke Karen;Madsen, Kristoffer Hougaard;Siebner, Hartwig R.;Mandic, Danilo P.;Hansen, Lars Kai;
Journal Computational Intelligence and Neuroscience
Year 2019
DOI
10.1155/2019/5618303
URL
https://www.hindawi.com/journals/cin/2019/5618303/abs/
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