The field of neuroimaging faces key challenges in the coming years. While techniques are readily available to map regions of the brain whose activity increases during specific tasks, there are fundamental questions that are not addressed by standard methodology, despite relevant information being present in the neuroimaging data. In particular, the understanding of interactions between brain regions, and how these relate to underlying connectional anatomy is of central importance for a mechanistic understanding of function.
This workshop aims to bring together cutting edge developments in characterizing brain dynamics and connectivity. These include the use of biophysical models to capture the dynamic interactions between evoked neuronal populations (e.g. Dynamic Causal Modelling), and our current understanding of spontaneous oscillations of neural activity in FMRI and MEG data. Furthermore, we consider the complementary use structural information (e.g. via diffusion MR tractography) as the anatomical basis of functional interactions.
Program (see http://www.fmrib.ox.ac.uk/~woolrich/miccai.pdf)
Session 1 – Modeling networks of evoked activity
Chair: Mark Woolrich
9:00 – 9:30 Klaas Stephan, University of Zurich.
“Dynamic causal modeling of neuronal networks.”
9:30 – 10:00 Will Penny, University College, London.
“Weakly Coupled Oscillator Models.”
10:00 – 10:30 Marcus Kaiser, Newcastle University.
“Structural networks and the link to network dynamics.”
10:30 – 11:00 Break
Session 2 – Modeling networks of spontaneous activity
Chair: Saad Jbabdi
11:00 – 11:30 Andreas Kleinschmidt, Neurospin Center, Paris.
“Assessing spontaneous brain activity by EEG and sensory probes.”
11:30 – 12:00 Christian Beckmann, Imperial College London.
“Correspondence of the brain's functional architecture during activation and rest”
12:00 – 12:30 Rolf Kötter, Radboud University, Nijmegen.
"Large-scale models of the 'resting state' of the brain”