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Economical brain networks

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  • UserProfessor Ed Bullmore, Behavioural & Clinical Neuroscience Institute, Dept Psychiatry, University of Cambridge GlaxoSmithKline R&D, Cambridge Cambridgeshire & Peterborough NHS Foundation Trust
  • ClockFriday 25 October 2013, 16:30-18:00
  • HouseGround Floor Lecture Theatre, Department of Psychology.

If you have a question about this talk, please contact Louise White.

I will review recent results on the topology and spatial organization of brain networks, mainly based on human neuroimaging data in health and disease. It turns out that brain networks consistently express non-random topological features, such as small-worldness, hubs, modules and rich clubs. Some of these features entail disproportionate biological cost but may be “worth it” by supporting integrative information processing and adaptive behaviours. Highly connected hub nodes are high cost / high value network components that likely also represent special points of vulnerability for diverse brain disorders. These economical principles of brain network organization are expressed at microscopic scale, e.g., in the nervous system of the nematode worm C. elegans, and may therefore provide a new axis for translation between macro and micro systems neuroscience.

This talk is part of the Zangwill Club series.

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