Publications of Marc Tittgemeyer

Knösche, T. R., & Tittgemeyer, M. (2011). The role of long-range connectivity for the characterization of the functional-anatomical organization of the cortex. Frontiers in Systems Neuroscience, 5. doi:10.3389/fnsys.2011.00058

Seifert, S., von Cramon, D. Y., Imperati, D., Tittgemeyer, M., & Ullsperger, M. (2011). Thalamocingulate interactions in performance monitoring. The Journal of Neuroscience: the Official Journal of the Society for Neuroscience, 31, 3375–3383.

Schnaudigel, S., Preul, C., Ugur, T., Mentzel, H. J., Witte, O. W., Tittgemeyer, M., & Hagemann, G. (2010). Positional brain deformation visualized with magnetic resonance morphometry. Neurosurgery, 66, 376–384.

Schubotz, R. I., Anwander, A., Knösche, T. R., von Cramon, D. Y., & Tittgemeyer, M. (2010). Anatomical and functional parcellation of the human lateral premotor cortex. NeuroImage, 50, 396–408.

Anwander, A., Tittgemeyer, M., von Cramon, D. Y., Friederici, A. D., & Knösche, T. R. (2007). Connectivity-based parcellation of Broca's area. Cerebral Cortex, 17, 816–825.

Hoffmann, S., Tittgemeyer, M., & von Cramon, D. Y. (2007). Cognitive impairment in multiple sclerosis. Current Opinion in Neurology, 20, 275–280.

Pollmann, S., Mahn, K., Reimann, B., Weidner, R., Tittgemeyer, M., Preul, C., … von Cramon, D. Y. (2007). Selective visual dimension weighting deficit after left lateral frontopolar lesions. Journal of Cognitive Neuroscience, 19, 365–375.

Winkler, D., Tittgemeyer, M., & Meixensberger, J. (2005). Tiefenhirnstimulation zur Behandlung des idiopatischen Morbus Parkinson. Sächsisches Ärzteblatt, 12, 587–591.

Winkler, D., Tittgemeyer, M., Schwarz, J., Preul, C., Strecker, K., & Meixensberger, J. (2005). The first evaluation of brain shift during functional neurosurgery by deformation field analysis. Journal of Neurology, Neurosurgery & Psychiatry, 76, 1161–1163.

Preul, C., Tittgemeyer, M., Lindner, D., Trantakis, C., & Meixensberger, J. (2004). Quantitative assessment of parenchymal and ventricular readjustment to intracranial pressure relief. American Journal of Neuroradiology, 25, 377–381.

Schroeter, M. L., Bücheler, M. M., Müller, K., Uludag, K., Obrig, H., Lohmann, G., … von Cramon, D. Y. (2004). Towards a standard analysis for functional near-infrared imaging. NeuroImage, 21, 283–290.

Schubotz, R. I., Sakreida, K., Tittgemeyer, M., & von Cramon, D. Y. (2004). Motor areas beyond motor performance: Deficits in serial prediction following ventrolateral premotor lesions. Neuropsychology, 18, 638–645.

Tittgemeyer, M., & von Cramon, D. Y. (2004). MRT-basierte Morphometrie. Eine Bestandsaufnahme. Nervenarzt, 75, 1172–1178.

Trantakis, C., Tittgemeyer, M., Schneider, J. P., Lindner, D., Strauß, G., & Meixensberger, J. (2003). Investigation of time-dependency of intracranial brain shift and its relation to the extent of tumor removal using intra-operative MRI. Neurological Research, 25, 9–12.

Fuchs, K., Tittgemeyer, M., Ryberg, T., Wenzel, F., & Mooney, W. (2002). Global significance of a sub-Moho boundary layer (SMBL) deduced from high-resolution seismic observations. International Geology Review, 44, 671–685.

Tittgemeyer, M., Wollny, G., & Kruggel, F. (2002). Visualising deformation fields computed by non-linear image registration. Computing and Visualization in Science, 5, 45–51.

Tittgemeyer, M., Wenzel, F., & Fuchs, K. (2000). On the nature of P-n. Journal of Geophysical Research: Solid Earth, 105, 16173–16180.

Hübsch, T., & Tittgemeyer, M. (2007). Multi-scale analysis of brain surface data. In A. Deutsch, R. Bravo de la Parra, R. de Boer, O. Diekmann, P. Jagers, E. Kisdi, … H. Metz (Eds.), Mathematical modeling of biological systems (pp. 279–287). Boston, MA: Birkhäuser.

Ryberg, T., Tittgemeyer, M., & Wenzel, F. (2005). Structure of the upper mantle beneath Northern Eurasia derived from Russian deep-seismic PNE profiles. In F. Wenzel (Ed.), Perspectives in modern seismology (pp. 95–114). Berlin/Heidelberg/New York: Springer.

Hlawitschka, M., Scheuermann, G., Anwander, A., Knösche, T. R., Tittgemeyer, M., & Hamann, B. (2007). Tensor Lines in Tensor Fields of Arbitrary Order. In G. Bebis (Ed.), Advances in visual computing (pp. 341–350). Berlin Heidelberg: Springer.