Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/9844
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dc.contributor.authorWaites, Anthony Ben
dc.contributor.authorShaw, Marnie Een
dc.contributor.authorBriellmann, Regula Sen
dc.contributor.authorLabate, Angeloen
dc.contributor.authorAbbott, David Fen
dc.contributor.authorJackson, Graeme Den
dc.date.accessioned2015-05-15T23:06:19Z
dc.date.available2015-05-15T23:06:19Z
dc.date.issued2005-01-01en
dc.identifier.citationNeuroimage; 24(1): 192-9en
dc.identifier.govdoc15588610en
dc.identifier.otherPUBMEDen
dc.identifier.urihttps://ahro.austin.org.au/austinjspui/handle/1/9844en
dc.description.abstractSimultaneously acquired functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data hold great promise for localizing the spatial source of epileptiform events detected in the EEG trace. Despite a number of studies applying this method, there has been no independent and systematic validation of the approach. The present study uses a nonparametric method to show that interictal discharges lead to a blood oxygen level dependent (BOLD) response that is significantly different to that obtained by examining random 'events'. We also use this approach to examine the optimization of analysis strategy for detecting these BOLD responses. Two patients with frequent epileptiform events and a healthy control were studied. The fMRI data for each patient were analyzed using a model derived from the timings of the epileptiform events detected on EEG during fMRI scanning. Twenty sets of random pseudoevents were used to generate a null distribution representing the level of chance correlation between the EEG events and fMRI data. The same pseudoevents were applied to control data. We demonstrate that it is possible to detect blood oxygen level-dependent (BOLD) changes related to interictal discharges with specific and independent knowledge about the reliability of this activation. Biologically generated events complicate the fMRI-EEG experiment. Our proposed validation examines whether identified events have an associated BOLD response beyond chance and allows optimization of analysis strategies. This is an important step beyond standard analysis. It informs clinical interpretation because it permits assessment of the reliability of the connection between interictal EEG events and the BOLD response to those events.en
dc.language.isoenen
dc.subject.otherAnalysis of Varianceen
dc.subject.otherArtifactsen
dc.subject.otherCerebral Cortex.physiopathologyen
dc.subject.otherChilden
dc.subject.otherComputer Simulationen
dc.subject.otherElectroencephalography.statistics & numerical dataen
dc.subject.otherEpilepsy, Absence.diagnosis.physiopathologyen
dc.subject.otherEpilepsy, Generalized.diagnosis.physiopathologyen
dc.subject.otherEvoked Potentials.physiologyen
dc.subject.otherFemaleen
dc.subject.otherHumansen
dc.subject.otherImage Enhancementen
dc.subject.otherImage Processing, Computer-Assisted.statistics & numerical dataen
dc.subject.otherMagnetic Resonance Imaging.statistics & numerical dataen
dc.subject.otherMathematical Computingen
dc.subject.otherOxygen.blooden
dc.subject.otherReference Valuesen
dc.subject.otherReproducibility of Resultsen
dc.subject.otherStatistics as Topicen
dc.subject.otherStatistics, Nonparametricen
dc.titleHow reliable are fMRI-EEG studies of epilepsy? A nonparametric approach to analysis validation and optimization.en
dc.typeJournal Articleen
dc.identifier.journaltitleNeuroImageen
dc.identifier.affiliationBrain Research Institute, Austin Health, Heidelberg West, Australiaen
dc.identifier.doi10.1016/j.neuroimage.2004.09.005en
dc.description.pages192-9en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/15588610en
dc.type.austinJournal Articleen
local.name.researcherAbbott, David F
item.openairetypeJournal Article-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextnone-
item.fulltextNo Fulltext-
item.cerifentitytypePublications-
item.languageiso639-1en-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
crisitem.author.deptNeurology-
crisitem.author.deptThe Florey Institute of Neuroscience and Mental Health-
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