The present methodological development and the primary application field originate from diffusion tensor imaging (DTI), a powerful nuclear magnetic resonance technique which enables the quantification of microscopical tissue properties. The current analysis framework of separate voxelwise regressions is reformulated as a 3d space-varying coefficient model… (More)
Successful social interaction requires recognising the intention of another person's communicative gestures. At a neural level, this process may involve neural activity in different systems, such as the mentalizing system (MS) and the mirror neuron system (MNS). The aim of the present study was to explore the neural correlates of communicative gestures… (More)
plications in Genetics and Molecular Biology 4: Article 32. Juliane Schäfer und Korbinian Strimmer. 2005. An empirical Bayes approach to inferring large-scale gene association networks. Bioinformatics 21:754–764. Juliane Schäfer und Korbinian Strimmer. 2005. Learning large-scale graphical Gaussian models from genomic data. Summary The present work is… (More)
The empirical origin of random noise is described, its influence on DTI variables is illustrated by a review of numerical and in vivo studies supplemented by new simulations investigating high noise levels. A stochastic model of noise propagation is presented to structure noise impact in DTI. Finally, basics of voxelwise and spatial denoising procedures are… (More)
BACKGROUND Often preventive measures are not accessed by the people who were intended to be reached. Programs for older adults may target men and women, older adults, advanced old age groups and/or chronically ill patients with specific indications. The defined target groups rarely participate in the conception of programs or in the design of information… (More)
Description 2d and 3d space-varying coefficient models are fitted to regular grid data using either a full B-spline tensor product approach or a sequential approximation. The latter one is computationally more efficient. Resolution increment is enabled.
In this paper, the space-varying coefficients model on the basis of B-splines (Heim et al., 2006) is adapted to wavelet basis functions and reexamined using artificial and real data. For an introduction to diffusion tensor imaging refer to Heim et al. (2005, Chap. 2). First, wavelet theory is introduced and explained by means of 1d and 2d examples (Sections… (More)