Detecting gamma frequency neural activity using simultaneous multiband EEG-fMRI

Makoto Uji; Ross Wilson; Susan Francis; Stephen Mayhew; Karen Mullinger

Detecting gamma frequency neural activity using simultaneous multiband EEG-fMRI

Makoto Uji, Ross Wilson, Susan Francis, Stephen Mayhew, Karen Mullinger

School of Psychology and Neuroscience

Research output: Contribution to conference › Abstract › peer-review

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Abstract

Synopsis (≤ 100 words): We establish a methodology for optimal combination of simultaneous EEG recording with sparse multiband fMRI that preserves high resolution, whole brain fMRI coverage with broad-band EEG signal measurement uncorrupted by MR gradient artefacts. We demonstrate the ability of this approach to record gamma frequency (>50Hz) EEG signals, that are usually obscured during continuous fMRI data acquisition. In a novel application to a motor task we observe a positive correlation between gamma and BOLD responses, supporting and extending previous findings concerning the coupling between neural and haemodynamic measures of brain activity.

Original language	English
Publication status	Published - Apr 2017
Event	International Society for Magnetic Resonance in Medicine - Hawai'i Convention Center, Honolulu, United States Duration: 22 Apr 2017 → 27 Apr 2017 https://www.ismrm.org/2017-annual-meeting-exhibition/

Conference

Conference	International Society for Magnetic Resonance in Medicine
Abbreviated title	ISMRM
Country/Territory	United States
City	Honolulu
Period	22/04/17 → 27/04/17
Internet address	https://www.ismrm.org/2017-annual-meeting-exhibition/

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ISMRM2017_MB-Gamma_Abstract
© 2017 Publisher / the Authors. This work has been made available online with permission. This is the author created accepted version manuscript following peer review and as such may differ slightly from the final published version.
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Cite this

@conference{9521fbc618224d49880e027bfe719738,

title = "Detecting gamma frequency neural activity using simultaneous multiband EEG-fMRI",

abstract = "Synopsis (≤ 100 words): We establish a methodology for optimal combination of simultaneous EEG recording with sparse multiband fMRI that preserves high resolution, whole brain fMRI coverage with broad-band EEG signal measurement uncorrupted by MR gradient artefacts. We demonstrate the ability of this approach to record gamma frequency (>50Hz) EEG signals, that are usually obscured during continuous fMRI data acquisition. In a novel application to a motor task we observe a positive correlation between gamma and BOLD responses, supporting and extending previous findings concerning the coupling between neural and haemodynamic measures of brain activity.",

author = "Makoto Uji and Ross Wilson and Susan Francis and Stephen Mayhew and Karen Mullinger",

note = "The authors thank the Birmingham-Nottingham Strategic Collaboration Fund for funding this research.; International Society for Magnetic Resonance in Medicine, ISMRM ; Conference date: 22-04-2017 Through 27-04-2017",

year = "2017",

month = apr,

language = "English",

url = "https://www.ismrm.org/2017-annual-meeting-exhibition/",

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TY - CONF

T1 - Detecting gamma frequency neural activity using simultaneous multiband EEG-fMRI

AU - Uji, Makoto

AU - Wilson, Ross

AU - Francis, Susan

AU - Mayhew, Stephen

AU - Mullinger, Karen

N1 - The authors thank the Birmingham-Nottingham Strategic Collaboration Fund for funding this research.

PY - 2017/4

Y1 - 2017/4

N2 - Synopsis (≤ 100 words): We establish a methodology for optimal combination of simultaneous EEG recording with sparse multiband fMRI that preserves high resolution, whole brain fMRI coverage with broad-band EEG signal measurement uncorrupted by MR gradient artefacts. We demonstrate the ability of this approach to record gamma frequency (>50Hz) EEG signals, that are usually obscured during continuous fMRI data acquisition. In a novel application to a motor task we observe a positive correlation between gamma and BOLD responses, supporting and extending previous findings concerning the coupling between neural and haemodynamic measures of brain activity.

AB - Synopsis (≤ 100 words): We establish a methodology for optimal combination of simultaneous EEG recording with sparse multiband fMRI that preserves high resolution, whole brain fMRI coverage with broad-band EEG signal measurement uncorrupted by MR gradient artefacts. We demonstrate the ability of this approach to record gamma frequency (>50Hz) EEG signals, that are usually obscured during continuous fMRI data acquisition. In a novel application to a motor task we observe a positive correlation between gamma and BOLD responses, supporting and extending previous findings concerning the coupling between neural and haemodynamic measures of brain activity.

M3 - Abstract

T2 - International Society for Magnetic Resonance in Medicine

Y2 - 22 April 2017 through 27 April 2017

ER -

Detecting gamma frequency neural activity using simultaneous multiband EEG-fMRI

Abstract

Conference

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