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dc.contributor.authorUji, Makoto
dc.contributor.authorWilson, Ross
dc.contributor.authorFrancis, Susan
dc.contributor.authorMullinger, Karen
dc.contributor.authorMayhew, Stephen
dc.date.accessioned2018-03-27T10:30:09Z
dc.date.available2018-03-27T10:30:09Z
dc.date.issued2017-06-26
dc.identifier.citationUji , M , Wilson , R , Francis , S , Mullinger , K & Mayhew , S 2017 , ' Detecting gamma frequency neural activity using simultaneous multiband EEG-fMRI ' Organization for Human Brain Mapping , Vancouver , Canada , 25/06/17 - 29/06/17 , .en
dc.identifier.citationconferenceen
dc.identifier.otherPURE: 252625155
dc.identifier.otherPURE UUID: 85cff079-f718-4dbe-90d7-be36caf8af27
dc.identifier.otherORCID: /0000-0002-9445-6353/work/43150052
dc.identifier.urihttp://hdl.handle.net/10023/13026
dc.identifier.urihttps://ww5.aievolution.com/hbm1701/index.cfm?do=abs.viewAbs&abs=2230en
dc.description.abstractSynchronization of gamma frequency (>35Hz) EEG activity is linked to cognitive and sensory behaviour as well as being widely cited as the closest neuronal correlate of the BOLD fMRI signal[1]. However, the majority of gamma-BOLD studies were conducted in the visual[2,3] or auditory[4,5] modalities, therefore a deeper understanding necessitates extension to the motor domain. Simultaneous EEG-fMRI is an ideal method to investigate gamma-BOLD correlates non-invasively in humans, however, residual gradient artefacts typically obscure gamma frequency EEG activity when acquired with fMRI. Accelerated fMRI methods such as multiband (MB)[6,7] allow whole-brain coverage in a sparse fMRI scheme which incorporates MR gradient “quiet periods” thus potentially useful to overcome EEG gradient artefacts during fMRI acquisitionen
dc.language.isoeng
dc.rights© 2017 Publisher / the Authors. This work has been made available online with permission from the authors.en
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.subject.lccRC0321en
dc.titleDetecting gamma frequency neural activity using simultaneous multiband EEG-fMRIen
dc.typeConference itemen
dc.description.versionPostprinten
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.description.statusPeer revieweden


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