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

doi:10.1038/s41598-017-16377-3

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 journal › Article › peer-review

49 Citations (Scopus)

32 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 language	English
Article number	16248
Pages (from-to)	1-11
Number of pages	11
Journal	Scientific Reports
Volume	7
Issue number	1
DOIs	https://doi.org/10.1038/s41598-017-16377-3
Publication status	Published - 24 Nov 2017
Externally published	Yes

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.

Access to Document

10.1038/s41598-017-16377-3Licence: CC BY

Publisher version (open access)Final published version, 1.62 MBLicence: CC BY

Cite this

@article{00e867e86a5d490580f4a42de7163457,

title = "Very high density EEG elucidates spatiotemporal aspects of early visual processing",

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.",

author = "Robinson, {Amanda K.} and Praveen Venkatesh and Boring, {Matthew J.} and Tarr, {Michael J.} and Pulkit Grover and Marlene Behrmann",

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. ",

year = "2017",

month = nov,

day = "24",

doi = "10.1038/s41598-017-16377-3",

language = "English",

volume = "7",

pages = "1--11",

journal = "Scientific Reports",

issn = "2045-2322",

publisher = "Springer, Springer Nature",

number = "1",

}

TY - JOUR

T1 - Very high density EEG elucidates spatiotemporal aspects of early visual processing

AU - Robinson, Amanda K.

AU - Venkatesh, Praveen

AU - Boring, Matthew J.

AU - Tarr, Michael J.

AU - Grover, Pulkit

AU - Behrmann, Marlene

N1 - 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.

PY - 2017/11/24

Y1 - 2017/11/24

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85035205624&partnerID=8YFLogxK

U2 - 10.1038/s41598-017-16377-3

DO - 10.1038/s41598-017-16377-3

M3 - Article

C2 - 29176609

AN - SCOPUS:85035205624

SN - 2045-2322

VL - 7

SP - 1

EP - 11

JO - Scientific Reports

JF - Scientific Reports

IS - 1

M1 - 16248

ER -

Very high density EEG elucidates spatiotemporal aspects of early visual processing

Abstract

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this