2015
DOI: 10.1016/j.ijpsycho.2015.04.012
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Issues and considerations for using the scalp surface Laplacian in EEG/ERP research: A tutorial review

Abstract: Despite the recognition that the surface Laplacian may counteract adverse effects of volume conduction and recording reference for surface potential data, electrophysiology as a discipline has been reluctant to embrace this approach for data analysis. The reasons for such hesitation are manifold but often involve unfamiliarity with the nature of the underlying transformation, as well as intimidation by a perceived mathematical complexity, and concerns of signal loss, dense electrode array requirements, or susc… Show more

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Cited by 201 publications
(188 citation statements)
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References 125 publications
(227 reference statements)
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“…One major confounder is volume conduction, which has to be suspected especially when surface EEG signals were not spatially enhanced by Laplacian transformations (Kayser and Tenke, 2015). In the present study, no such transformation was applied due to the insufficient number of recording electrodes.…”
Section: Discussionmentioning
confidence: 91%
“…One major confounder is volume conduction, which has to be suspected especially when surface EEG signals were not spatially enhanced by Laplacian transformations (Kayser and Tenke, 2015). In the present study, no such transformation was applied due to the insufficient number of recording electrodes.…”
Section: Discussionmentioning
confidence: 91%
“…Laplacian is a unique, linear data transformation that maintains the invariant (i.e., reference-independent) aspects of the EEG signal (see for a tutorial Kayser, 2015) Laplacian transform and ICA decomposition).…”
Section: Discussionmentioning
confidence: 99%
“…A more precise measure can be obtained by applying a current source density (CSD) transformation to EEG signals. CSD refers to a group of mathematical transformations that compute estimates of the cortical current flowing radially through the skull Kayser & Tenke, 2015), providing a good approximation of the corticogram (Gevins et al, 1987). Contrary to the LRP, CSD methods allow isolation of the electrical activity from each M1.…”
Section: Linking Propositionsmentioning
confidence: 99%