Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/10610
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dc.contributor.authorPell, Gaby Sen
dc.contributor.authorBriellmann, Regula Sen
dc.contributor.authorChan, Chow Huat Patricken
dc.contributor.authorPardoe, Heath Ren
dc.contributor.authorAbbott, David Fen
dc.contributor.authorJackson, Graeme Den
dc.date.accessioned2015-05-16T00:07:22Z
dc.date.available2015-05-16T00:07:22Z
dc.date.issued2008-03-07en
dc.identifier.citationNeuroimage 2008; 41(4): 1324-35en
dc.identifier.govdoc18467131en
dc.identifier.otherPUBMEDen
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/10610en
dc.description.abstractVariability in the control group plays a crucial role in voxel-based morphometry (VBM) detection of structural abnormalities. Two common methods of minimising this variance are inclusion of covariates and matching of control and patient groups. We address two major questions: What are the optimal covariates in the VBM design? When a large pool of controls are available, is it better to choose a subset of matched control subjects at the expense of numbers, or include all available controls? We used regression analysis in a group of 176 controls to determine the contribution of gender, age, and total intracranial volume (TIV) to volume variation. We then used different matching and covariate strategies to determine the optimal design for VBM detection of abnormality in epilepsy patients with hippocampal sclerosis. In the regression analysis, focal gender effects disappeared with inclusion of TIV as an additional regressor. Age had a small but unique contribution to focal volume changes. In the VBM analysis of HS patients, detection of abnormalities was strongly influenced by choice of covariates. The optimal combination was different for grey and white matter (for grey matter: TIV; for temporal lobe white matter: TIV, age and gender). A control group size of 70-90 subjects allowed optimal detection of volume loss in the hippocampus and thalamus. At these group sizes, matched control groups did not consistently prove superior to deliberately "unmatched" groups of the same size. The optimal detection of volume loss was obtained with all available control subjects.en
dc.language.isoenen
dc.subject.otherAdolescenten
dc.subject.otherAdulten
dc.subject.otherAgeden
dc.subject.otherAging.physiologyen
dc.subject.otherAnalysis of Varianceen
dc.subject.otherBrain.anatomy & histology.physiologyen
dc.subject.otherData Interpretation, Statisticalen
dc.subject.otherEpilepsy.genetics.pathology.physiopathologyen
dc.subject.otherFemaleen
dc.subject.otherHippocampus.pathology.physiopathologyen
dc.subject.otherHumansen
dc.subject.otherImage Processing, Computer-Assisted.methodsen
dc.subject.otherMagnetic Resonance Imagingen
dc.subject.otherMaleen
dc.subject.otherMiddle Ageden
dc.subject.otherRegression Analysisen
dc.subject.otherSample Sizeen
dc.subject.otherSclerosisen
dc.subject.otherSex Characteristicsen
dc.titleSelection of the control group for VBM analysis: influence of covariates, matching and sample size.en
dc.typeJournal Articleen
dc.identifier.journaltitleNeuroImageen
dc.identifier.affiliationBrain Research Institute, Neuroscience Building, Austin Health, Victoria, Australiaen
dc.identifier.doi10.1016/j.neuroimage.2008.02.050en
dc.description.pages1324-35en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/18467131en
dc.type.austinJournal Articleen
item.cerifentitytypePublications-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.openairetypeJournal Article-
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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