A novel brain partition highlights the modular skeleton shared by structure and function Diez, Ibai Bonifazi, Paolo Escudero, Iñaki Mateos, Beatriz Muñoz Martínez, Miguel Ángel Stramaglia, Sebastiano Cortés, Jesús M. Neuroscience Complex networks Elucidating the intricate relationship between brain structure and function, both in healthy and pathological conditions, is a key challenge for modern neuroscience. Recent progress in neuroimaging has helped advance our understanding of this important issue, with diffusion images providing information about structural connectivity (SC) and functional magnetic resonance imaging shedding light on resting state functional connectivity (rsFC). Here, we adopt a systems approach, relying on modular hierarchical clustering, to study together SC and rsFC datasets gathered independently from healthy human subjects. Our novel approach allows us to find a common skeleton shared by structure and function from which a new, optimal, brain partition can be extracted. We describe the emerging common structure-function modules (SFMs) in detail and compare them with commonly employed anatomical or functional parcellations. Our results underline the strong correspondence between brain structure and resting-state dynamics as well as the emerging coherent organization of the human brain. 2015-06-25T11:30:14Z 2015-06-25T11:30:14Z 2015 info:eu-repo/semantics/article Diez, I.; et al. A novel brain partition highlights the modular skeleton shared by structure and function. Scientific Reports, 5: 10532 (2015). [http://hdl.handle.net/10481/36749] 2045-2322 http://hdl.handle.net/10481/36749 10.1038/srep10532 eng info:eu-repo/grantAgreement/EC/FP7/284772 http://creativecommons.org/licenses/by-nc-nd/3.0/ info:eu-repo/semantics/openAccess Creative Commons Attribution-NonCommercial-NoDerivs 3.0 License Nature Publishing Group