Testing the effects of pre-processing on voxel based morphometry analysis

  • Voxel based morphometry (VBM) is an automated analysis technique which allows voxel-wise comparison of mainly grey-matter volumes between two magnetic resonance images (MRI). Two main analysis processes in VBM are possible. One is cross-sectional data analysis, where one group is compared with another to depict see the regions in the brain, which show changes in their grey-matter volume. Second is longitudinal data analysis, where MRIs, taken at different time points, are compared to see the regions in the brain that show changes in their grey matter volume for one time point with respect to another time point. Both types of analyses require pre-processing steps before performing the statistical analysis. In this study, we examined grey matter differences for patients with blepharospasmus (BFS) before and after treatment, at two different time points. The main evidence base therapy for this condition is the “botulinum toxin” injection in the respective muscles. The main aim of thisVoxel based morphometry (VBM) is an automated analysis technique which allows voxel-wise comparison of mainly grey-matter volumes between two magnetic resonance images (MRI). Two main analysis processes in VBM are possible. One is cross-sectional data analysis, where one group is compared with another to depict see the regions in the brain, which show changes in their grey-matter volume. Second is longitudinal data analysis, where MRIs, taken at different time points, are compared to see the regions in the brain that show changes in their grey matter volume for one time point with respect to another time point. Both types of analyses require pre-processing steps before performing the statistical analysis. In this study, we examined grey matter differences for patients with blepharospasmus (BFS) before and after treatment, at two different time points. The main evidence base therapy for this condition is the “botulinum toxin” injection in the respective muscles. The main aim of this study was to look at the effects of different pre-processing steps, namely, normalization and smoothing on the results of the longitudinal data analysis. A second aim was to analyze structural grey-matter differences before and after the treatment. Our results showed that the DARTEL normalization and the lower width for smoothing as preprocessing steps delivered pathophysiological plausible results. The longitudinal analysis revealed significant temporal differences after the injection of the botulinum toxin injection mainly in patients with BFS.show moreshow less

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Author:Chaitanya Venkata Chaitanya, Nabin Koirala, Kidist Gebremariam Mideksa, Abdul Rauf Anwar, Gerhard Schmidt, Günther Deuschl, Sergiu Groppa, Muthuraman MuthuramanORCiDGND
URN:urn:nbn:de:bvb:384-opus4-1102887
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/110288
ISBN:978-1-4244-9271-8OPAC
Parent Title (English):2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 25-29 August 2015, Milan, Italy
Publisher:IEEE
Place of publication:Piscataway, NJ
Editor:Sergio Cerutti, Paolo Bonato, Colin J. H. Brenan, Anna Maria Bianchi, Silvestro Micera
Type:Conference Proceeding
Language:English
Year of first Publication:2015
Publishing Institution:Universität Augsburg
Release Date:2023/12/20
First Page:4302
Last Page:4305
DOI:https://doi.org/10.1109/embc.2015.7319346
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Professur für Informatik in der Medizintechnik
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht