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Brain Connectomics: Network science for brain data
Brain Connectomics is a rapidly growing area of research. It is based on the investigation of functional and structural connections in the human brain, modeled as networks. Structural connections between brain region pairs are modeled from diffusion-weighted imaging data, normally denominated as structural connectome or structural connectivity. Functional connections are modeled from functional magnetic resonance imaging data, by measuring temporal statistical dependences between brain region pairs, usually defined as functional connectivity or functional connectome.
The analysis of brain networks has recently risen thanks to the development of new imaging acquisition methods as well as new tools from graph theory and dynamical systems. Examining human brain connectivity data offers new insights on how the integration and segregation of information in the brain relates to human behavior, and how this organization may be altered in neurological diseases and disorders.
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I am always on the lookout for funding opportunities to hire enthusiastic PhD students/Postdocs. If you would like to join the lab or if you are looking for collaborations/co-supervision, please send an email to e.amico@aston.ac.uk
- Enrico Amico to speak at the University of Nottingham on March 26th. More info here.
- Enrico Amico to speak at the University of Birmingham on March 21st. More info here.
- New lab preprint out! “Higher-order connectomics of human brain function reveals local topological signatures of task decoding, individual identification, and behavior”. You can check it out here.
[Advanced Models in COnnectomics ] 