We propose a new method to parcellate the cerebral cortex based on spatial dependancy in the fluctuations observed with functional Magnetic Resonance Imaging (fMRI) during rest. Our surface-based approach uses a region growing method. In contrast to previous methods, locally stable seed points are identified on the cortical surface and these are grown into a (relatively large 1000 to 5000) number of spatially contiguous regions on both hemispheres. Spatially constrained hierarchical clustering is then used to further combine these regions in a hierarchical tree. Using short-TR resting state fMRI data, this approach allows a subject specific parcellation of the cortex into anatomically plausible subregions, identified with high scan-to-scan reproducibility and with borders that delineate clear changes in functional connectivity.


Conference paper

Publication Date





188 - 195


Oxford Centre for Functional MRI of the Brain (FMRIB Centre), University of Oxford, Oxford, UK. tblumens@fmrib.ox.ac.uk


Brain, Nerve Net, Image Interpretation, Computer-Assisted, Imaging, Three-Dimensional, Magnetic Resonance Imaging, Image Enhancement, Brain Mapping, Sensitivity and Specificity, Reproducibility of Results, Algorithms, Rest