Very high density EEG elucidates spatiotemporal aspects of early visual processing

Amanda K. Robinson*, Praveen Venkatesh, Matthew J. Boring, Michael J. Tarr, Pulkit Grover, Marlene Behrmann

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

20 Citations (Scopus)
8 Downloads (Pure)

Abstract

Standard human EEG systems based on spatial Nyquist estimates suggest that 20-30 mm electrode spacing suffices to capture neural signals on the scalp, but recent studies posit that increasing sensor density can provide higher resolution neural information. Here, we compared "super-Nyquist" density EEG ("SND") with Nyquist density ("ND") arrays for assessing the spatiotemporal aspects of early visual processing. EEG was measured from 128 electrodes arranged over occipitotemporal brain regions (14 mm spacing) while participants viewed flickering checkerboard stimuli. Analyses compared SND with ND-equivalent subsets of the same electrodes. Frequency-tagged stimuli were classified more accurately with SND than ND arrays in both the time and the frequency domains. Representational similarity analysis revealed that a computational model of V1 correlated more highly with the SND than the ND array. Overall, SND EEG captured more neural information from visual cortex, arguing for increased development of this approach in basic and translational neuroscience.

Original languageEnglish
Article number16248
Pages (from-to)1-11
Number of pages11
JournalScientific Reports
Volume7
Issue number1
DOIs
Publication statusPublished - 24 Nov 2017
Externally publishedYes

Bibliographical note

Copyright the Author(s) 2017. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

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