Topic Topic

Understanding human brain function in health and psychiatric disorders remains to be a fundamental challenge in science and medicine. Recent advances in functional (e.g. fMRI, EEG, MEG) and structural (e.g. DTI) neuroimaging enabled precise mapping of brain’s functional networks as well as its anatomical connections, called “connectome”. These advances provide a unique opportunity towards understanding the link between the human connectome and the complex dynamics underlying brain function. However, despite abundant and rapidly growing structural and functional neuroimaging data, e.g. made publicly available by various large-scale, international projects such as the Human Connectome project, how the human connectome shapes the functional activity patterns in health and neuropsychiatric disorders remains to be an open question.

This half-day tutorial will include:

  • introduction to structural and functional connectivity,
  • review of the state-of-the-art structural and functional neuroimaging techniques and dynamical models of brain activity,
  • discussion on how medical image analysis and machine learning techniques can be applied to better understand healthy and diseased brain function.
     

References

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  • Parisot, S., Rajchl, M., Passerat-Palmbach, J. and Rueckert, D. A. (2015) Continuous Flow-Maximisation Approach to Connectivity-driven Cortical Parcellation. MICCAI 2015.
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