Christian Habeck originally trained as a Particle Physicist, and received his M.Sc degree from the University of Durham, UK, in 1994 and his D.Phil from the University of Sussex, UK, in 1998. He then did a Postdoctoral fellowship at the Neurosciences Institute in La Jolla, CA, performing large-scale computer simulations of biophysically realistic neural networks. Since 2000 he has been in the Cognitive Neuroscience Division of the Taub Institute, Department Of Neurology, Columbia University Medical Center, specializing in multivariate approaches to neuroimaging analysis for EEG, PET and MRI data.

Also check article in "Symmetry Magazine"
http://www.symmetrymag.org/cms/?pid=1000308

Selected Publications:

• C. Habeck, N. L Foster, R. Perneczky, A.r Kurz, P. Alexopoulos, R. A. Koeppe, A. Drzezga, Y. Stern. Multivariate and univariate neuroimaging biomarkers of Alzheimer's disease. NeuroImage 2008; 40: 1503-1515
• C. Habeck, Y. Stern. Neural network approaches and their reproducibility in the study of verbal working memory and Alzheimer's disease. Clinical Neuroscience Research 2007; 6(6): 381-390
• J. R. Moeller, C. Habeck. Reciprocal Benefits of Mass-Univariate and Multivariate Modeling in Brain Mapping: Applications to event-related functional MRI, H215O-, and FDG PET. International Journal of Biomedical Imaging 2006; Article ID 79862
• C. Habeck, H. J. Hilton, E. Zarahn, T. Brown, Yaakov Stern. An event-related fMRI study of the neural networks underlying repetition suppression and reaction time priming in implicit visual memory. Brain Research 2006; 1075: 133-141
• C. Habeck, J.W. Krakauer, C. Ghez, H. A. Sackeim, D. Eidelberg, Y. Stern, J. R. Moeller. A New Approach to Spatial Covariance Modeling of Functional Brain Imaging Data: Ordinal Trend Analysis. Neural Computation 2005; 17: 1602-1645