Jürgen Dukart, PhD
Laboratoire de recherche en Neuroimagerie - LREN
Departement des neurosciences cliniques
Centre Hospitalier Universitaire Vaudois (CHUV)
Mont Paisible 16
In my previous research I worked on the topic of healthy ageing and neurodegenerative disorders. Large part of this work was the optimization of pre-processing algorithms and combined evaluation of FDG-PET and structural and resting-state MRI with neuropsychological measurements to improve understanding, detection and differentiation of Mild Cognitive Impairment, Alzheimer's Disease, microangiopathy and frontotemporal lobar degeneration. Thereby, I applied univariate (voxel-based morphometry and voxel-based statistics) and multivariate (support vector machine classification) methods to integrate findings from different imaging modalities into single disease progression models. In my future work I would like to extend the idea of integration of multimodal imaging data, neuropsychological measurements and genetic risk factors into single generative and predictive models of specific psychiatric diseases and in particular of different subtypes of schizophrenia.
Dukart, J., Mueller, K., Barthel, H., Villringer, A., Sabri, O., Schroeter, M.L., for the Alzheimer's Disease Neuroimaging Initiative. (2012). Meta-analysis based SVM classification enables accurate detection of Alzheimer’s disease across different clinical centers using FDG-PET and MRI. Psychiatry Research: Neuroimaging, accepted
Richter, M., Bishop, C.A., Dukart, J, Stühler, E., Müller, K., Schroeter, M.L., Merhof, D. (2012). Skeleton-based gyri sulci separation for improved assessment of cortical thickness. IEEE 9th International Symposium on Biomedical Imaging (IEEE ISBI), accepted.
Dukart, J., Schroeter, M. L., Müller, K. and the Alzheimer’s Disease Neuroimaging Initiative. (2011). Age Correction in Dementia – Matching to a Healthy Brain. PLoS ONE, Retrieved from doi:10.1371/journal.pone.0022193
Dukart, J., Müller, K., Horstmann, A., Barthel, H., Moeller, H., Villringer, A., Sabri, O., & Schroeter, M. L. (2011). Combined Evaluation of FDG-PET and MRI Improves Detection and Differentiation of Dementia. PLoS ONE. Retrieved from doi:10.1371/journal.pone.0018111
Dukart, J., Müller, K., Horstmann, A., Vogt, B., Frisch, S., Barthel, H., Becker, G., Möller, H. E., Villringer, A., Sabri, O., & Schroeter, M. L. (2010). Differential effects of global and cerebellar normalization on detection and differentiation of dementia in FDG-PET studies. NeuroImage, 49(2), 1490-1495.