Please use this identifier to cite or link to this item: https://ahro.austin.org.au/austinjspui/handle/1/12428
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dc.contributor.authorSmith, Robert Een
dc.contributor.authorTournier, Jacques-Donalden
dc.contributor.authorCalamante, Fernandoen
dc.contributor.authorConnelly, Alanen
dc.date.accessioned2015-05-16T02:07:33Z-
dc.date.available2015-05-16T02:07:33Z-
dc.date.issued2014-10-12en
dc.identifier.citationNeuroimage 2014; 104: 253-65en
dc.identifier.govdoc25312774en
dc.identifier.otherPUBMEDen
dc.identifier.urihttp://ahro.austin.org.au/austinjspui/handle/1/12428en
dc.description.abstractDiffusion MRI streamlines tractography is increasingly being used to characterise and assess the structural connectome of the human brain. However, issues pertaining to quantification of structural connectivity using streamlines reconstructions are well-established in the field, and therefore the validity of any conclusions that may be drawn from these analyses remains ambiguous. We recently proposed a post-processing method entitled "SIFT: Spherical-deconvolution Informed Filtering of Tractograms" as a mechanism for reducing the biases in quantitative measures of connectivity introduced by the streamlines reconstruction method. Here, we demonstrate the advantage of this approach in the context of connectomics in three steps. Firstly, we carefully consider the model imposed by the SIFT method, and the implications this has for connectivity quantification. Secondly, we investigate the effects of SIFT on the reproducibility of structural connectome construction. Thirdly, we compare quantitative measures extracted from structural connectomes derived from streamlines tractography, with and without the application of SIFT, to published estimates drawn from post-mortem brain dissection. The combination of these sources of evidence demonstrates the important role the SIFT methodology has for the robust quantification of structural connectivity of the brain using diffusion MRI.en
dc.language.isoenen
dc.subject.otherConnectomicsen
dc.subject.otherDiffusion MRIen
dc.subject.otherFibre-trackingen
dc.subject.otherStructural connectomeen
dc.subject.otherTractographyen
dc.titleThe effects of SIFT on the reproducibility and biological accuracy of the structural connectome.en
dc.typeJournal Articleen
dc.identifier.journaltitleNeuroImageen
dc.identifier.affiliationThe Florey Institute of Neuroscience and Mental Health, Heidelberg, Victoria, Australiaen
dc.identifier.affiliationFlorey Department of Neuroscience and Mental Health, University of Melbourne, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Medicine, Northern Health, University of Melbourne, Melbourne, Victoria, Australiaen
dc.identifier.affiliationDepartment of Medicine, Austin Health, The University of Melbourne, Heidelberg, Victoria, Australia-
dc.identifier.doi10.1016/j.neuroimage.2014.10.004en
dc.description.pages253-65en
dc.relation.urlhttps://pubmed.ncbi.nlm.nih.gov/25312774en
dc.type.austinJournal Articleen
item.fulltextNo Fulltext-
item.openairetypeJournal Article-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.grantfulltextnone-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
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