Mathias Goldau

Learn More
One of the most promising avenues for compiling connectivity data originates from the notion that individual brain regions maintain individual connectivity profiles; the functional repertoire of a cortical area ("the functional fingerprint") is closely related to its anatomical connections ("the connectional fingerprint") and, hence, a segregated cortical(More)
Neuroanatomical studies using transneuronal virus tracers in macaque monkeys recently demonstrated that substantial interactions exist between basal ganglia and the cerebellum. To what extent these interactions are present in the human brain remains unclear; however, these connections are thought to provide an important framework for understanding(More)
One of the most promising avenues for compiling anatomical brain connectivity data arises from diffusion magnetic resonance imaging (dMRI). dMRI provides a rather novel family of medical imaging techniques with broad application in clinical as well as basic neu-roscience as it offers an estimate of the brain's fiber structure completely non-invasively and(More)
Displaying neurological data from multiple imaging modalities in anatomical context is a challenging task in biomedical visualiza-tion. We present an application-driven approach, which solves the visibility issues of simultaneous presentation of focus and context. The tractogram (a scalar field indicating a connectivity score between voxels) is visualized(More)
In the course of the ongoing research into neurolog-ical diseases and the function and anatomy of the brain, a large variety of examination techniques has evolved. The different techniques aim at findings for different research questions or different viewpoints of a single task. Considering the different applications, it is evident that, for many research(More)
Fiber clustering algorithms are employed to find patterns in the structural connections of the human brain as traced by tractography algorithms. Current clustering algorithms often require the calculation of large similarity matrices and thus do not scale well for datasets beyond 100,000 streamlines. We extended and adapted the 2D vector field k– means(More)
Given diffusion weighted magnetic resonance (dMRI) data, tractography methods may reconstruct estimations of neural connections of the human brain, so called tractograms. Probabilistic tractography algorithms generate a scalar value for each point of the brain, which describes the confidence of an existing structural connection to a predefined seed region.(More)