Max Planck Institute for Human Cognitive and Brain Sciences
Quantitative Anatomical Connectivity
Development of definitions of anatomical connectivity, which are useful for various purposes, including as prior in dynamic models of neural mass action.
Bayesian estimation of connectivity and error bound.
Use of the connectivity values as Bayesian priors in the inverse estimation of dynamic models of brain activity.
Mapping microstructural measures, derived from local diffusion models, along fiber tracts.
Alfred Anwander (responsible)
Neurospin Paris (Pierre Fillard)
FIL London (Rosalyn Moran, Karl Friston)
University of Zürich (Klaas-Enno Stephan)
MPI for Neurological Research Cologne (Marc Tittgemeyer)
Publications (peer reviewed)
Kaden, Enrico, Knösche, Thomas R., Anwander, Alfred (2007). Parametric Spherical Deconvolution: Inferring Anatomical Connectivity using Diffusion MR Imaging, NeuroImage, Vol 37/2, pp 474-488, doi: 10.1016/j.neuroimage.2007.05.012
T.S. Yo, A. Anwander, M. Descoteaux, P. Fillard, C. Poupon, T.R. Knösche. Comparison of quantitative connectivity measures derived from diffusion weighted images. Abstract at the 15th Annual Meeting of the Organization for Human Brain Mapping, 2009, San Francisco