Abstract
[1] Skudlarski, P. (2008). Neuroimage 43, 554-561. [2] Uddin, L.Q. (2013). Trends in Cognitive Sciences 17, 600-602. [3] Nooner, K.B. (2012). Frontiers in Neuroscience 6. [4] Yarkoni, K. (2011). Frontiers in Neuroinformatics. doi: 10.3389/conf. fninf. [5] Gorgolewski, K. (2011). Frontiers in Neuroinformatics 5. [6] Kelly, C. (2012). Neuroimage 61, 1129/1142. [7] Moreno-Dominguez, D. (2014). Human Brain Mapping. doi: 10.1002/hbm.22528. [8] Toro, R. (2008). Cerebral Cortex 18, 2553/2559. [9] Pedregosa, F. (2011). The Journal of Machine Learning Research 12, 2825-2830. Clustered cortical parcellations offer a medium for comparing the different methods for characterizing the connectome. By integrating neuroimaging software via Nipype, we have written a modular pipeline used to cluster subregions of the frontal lobe. The pipeline allows us to explore various combinations of analytic and preprocessing strategies, and offers the possibility of flexible investigation of cortical parcellation across modalities and datasets. 2 Institut Pasteur, Paris, France
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