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dc.contributor.authorUji, Makoto
dc.contributor.authorWilson, Ross
dc.contributor.authorFrancis, Susan
dc.contributor.authorMayhew, Stephen
dc.contributor.authorMullinger, Karen
dc.identifier.citationUji , M , Wilson , R , Francis , S , Mayhew , S & Mullinger , K 2017 , ' Detecting gamma frequency neural activity using simultaneous multiband EEG-fMRI ' International Society for Magnetic Resonance in Medicine , Honolulu , United States , 22/04/17 - 27/04/17 , .en
dc.identifier.otherPURE: 252085361
dc.identifier.otherPURE UUID: 9521fbc6-1822-4d49-880e-027bfe719738
dc.identifier.otherORCID: /0000-0002-9445-6353/work/42734906
dc.descriptionThe authors thank the Birmingham-Nottingham Strategic Collaboration Fund for funding this research.en
dc.description.abstractSynopsis (≤ 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.
dc.rights© 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.en
dc.subjectQC Physicsen
dc.titleDetecting gamma frequency neural activity using simultaneous multiband EEG-fMRIen
dc.typeConference itemen
dc.contributor.institutionUniversity of St Andrews.School of Psychology and Neuroscienceen
dc.description.statusPeer revieweden

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