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A Large N400 but No BOLD Effect – Comparing Source Activations of Semantic Priming in Simultaneous EEG-fMRI

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Title
A Large N400 but No BOLD Effect – Comparing Source Activations of Semantic Priming in Simultaneous EEG-fMRI
Published in
PLOS ONE, December 2013
DOI 10.1371/journal.pone.0084029
Pubmed ID
Authors

Sebastian Geukes, René J. Huster, Andreas Wollbrink, Markus Junghöfer, Pienie Zwitserlood, Christian Dobel

Abstract

Numerous studies have reported neurophysiological effects of semantic priming in electroencephalography (EEG) and in functional magnetic resonance imaging (fMRI). Because of differing methodological constraints, the comparability of the observed effects remains unclear. To directly compare EEG and fMRI effects and neural sources of semantic priming, we conducted a semantic word-picture priming experiment while measuring EEG and fMRI simultaneously. The visually presented primes were pseudowords, words unrelated to the target, semantically related words and the identical names of the target. Distributed source analysis of the event-related potentials (ERPs) successfully revealed a large effect of semantic prime-target relatedness (the N400 effect), which was driven by activations in a left-temporal source region. However, no significantly differing activations between priming conditions were found in the fMRI data. Our results support the notion that, for joint interpretations of existing EEG and fMRI studies of semantic priming, we need to fully appreciate the respective methodological limitations. Second, they show that simultaneous EEG-fMRI, including ERP source localization, is a feasible and promising methodological advancement for the investigation of higher-cognitive processes. Third, they substantiate the finding that, compared to fMRI, ERPs are often more sensitive to subtle cognitive effects.

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The data shown below were compiled from readership statistics for 107 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 3%
United States 2 2%
Spain 2 2%
Germany 1 <1%
Belgium 1 <1%
Unknown 98 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 23%
Student > Ph. D. Student 17 16%
Student > Master 13 12%
Student > Doctoral Student 10 9%
Professor 7 7%
Other 15 14%
Unknown 20 19%
Readers by discipline Count As %
Psychology 28 26%
Neuroscience 15 14%
Engineering 9 8%
Linguistics 6 6%
Agricultural and Biological Sciences 5 5%
Other 11 10%
Unknown 33 31%