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dc.contributor.authorMüller, H.-P.
dc.contributor.authorKassubek, J.
dc.contributor.authorGrön, G.
dc.contributor.authorSprengelmeyer, R.
dc.contributor.authorLudolph, A.C.
dc.contributor.authorKlöppel, S.
dc.contributor.authorHobbs, N.Z.
dc.contributor.authorRoos, R.A.C.
dc.contributor.authorDuerr, A.
dc.contributor.authorTabrizi, S.J.
dc.contributor.authorOrth, M.
dc.contributor.authorSüssmuth, S.D.
dc.contributor.authorLandwehrmeyer, G.B.
dc.identifier.citationMüller , H-P , Kassubek , J , Grön , G , Sprengelmeyer , R , Ludolph , A C , Klöppel , S , Hobbs , N Z , Roos , R A C , Duerr , A , Tabrizi , S J , Orth , M , Süssmuth , S D & Landwehrmeyer , G B 2014 , ' Impact of the control for corrupted diffusion tensor imaging data in comparisons at the group level : an application in Huntington disease ' , BioMedical Engineering Online , vol. 13 , no. 1 .
dc.identifier.otherPURE: 158743278
dc.identifier.otherPURE UUID: 47a9f283-7344-4367-a9b9-a25d516f4102
dc.identifier.otherScopus: 84910067151
dc.identifier.otherWOS: 000341738000001
dc.identifier.otherORCID: /0000-0002-3083-5995/work/64697300
dc.descriptionThis work was supported by the European Union under the Seventh Framework programme– PADDINGTON Project, Grant Agreement No. 261358, and the European Huntington’s Disease Network (EHDN), project 070 – PADDINGTON.en
dc.description.abstractBackground: Corrupted gradient directions (GD) in diffusion weighted images may seriously affect reliability of diffusion tensor imaging (DTI)-based comparisons at the group level. In the present study we employed a quality control (QC) algorithm to eliminate corrupted gradient directions from DTI data. We then assessed effects of this procedure on comparisons between Huntington disease (HD) subjects and controls at the group level.Methods: Sixty-one HD patients in early stages and forty matched healthy controls were studied in a longitudinal design (baseline and two follow-ups at three time points over 15 months), in a multicenter setting with similar acquisition protocols on four different MR scanners at four European study sites. A QC algorithm was used to identify corrupted GD in DTI data sets. Differences in fractional anisotropy (FA) maps at the group level with and without elimination of corrupted GD were analyzed.Results: The elimination of corrupted GD had an impact on individual FA maps as well as on cross-sectional group comparisons between HD subjects and controls. Following application of the QC algorithm, less small clusters of FA changes were observed, compared to the analysis without QC. However, the main pattern of regional reductions and increases in FA values with and without QC-based elimination of corrupted GD was unchanged.Conclusion: An impact on the result patterns of the comparison of FA maps between HD subjects and controls was observed depending on whether QC-based elimination of corrupted GD was performed. QC-based elimination of corrupted GD in DTI scans reduces the risk of type I and type II errors in cross-sectional group comparison of FA maps contributing to an increase in reliability and stability of group comparisons.
dc.relation.ispartofBioMedical Engineering Onlineen
dc.rights© 2014 Müller et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver ( applies to the data made available in this article, unless otherwise stated.en
dc.subjectRC0321 Neuroscience. Biological psychiatry. Neuropsychiatryen
dc.titleImpact of the control for corrupted diffusion tensor imaging data in comparisons at the group level : an application in Huntington diseaseen
dc.typeJournal articleen
dc.description.versionPublisher PDFen
dc.contributor.institutionUniversity of St Andrews. School of Psychology and Neuroscienceen
dc.contributor.institutionUniversity of St Andrews. Institute of Behavioural and Neural Sciencesen
dc.description.statusPeer revieweden

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