Bold case denotes the invited talks.
| Predicting individual variability in task activation Saad Jbabdi (Oxford University, UK) |
9:30 - 10:00 |
| A prediction framework of functional from structural connectomes reveals relationships between NODDI and tensor-based microstructural indices Fani Deligianni, David Carmichael, Chris Clark, and Jonathan Clayden Slides |
10:00 - 10:20 |
| Comparing connectivity-based groupwise parcellations generated from resting-state fMRI and DTI data: Preliminary results Salim Arslan, Sarah Parisot, and Daniel Rueckert (Imperial College London) Slides |
10:20 - 10:40 |
| A pipeline for automatic semantic annotation of human connectomics revealed by diffusion tractography Tristan Moreau and Bernard Gibaud Slides |
10:40 - 11:00 |
| Break | 11:00 - 11:10 |
| linkRbrain: Towards an integrated multi-scale database for understanding the brain Salma Mesmoudi (Complex Systems Institute, Paris) Slides |
11:10 - 11:40 |
| Gender classification and manifold learning on functional brain networks Sofia Ira Ktena, Salim Arslan, and Daniel Rueckert (Imperial College London) Slides |
11:40 - 12:00 |
| Capturing Simulated Network Topology using Heat Kernels Ai Wern Chung, Markus D. Schirmer, Paul Aljabar, and Giovanni Montana (King's College London) |
12:00 - 12:20 |
| Enhanced inference of network structure from functional connectivity Eugene Duff, Steve Smith, Tamar Makin, and Mark Woolrich (Oxford University, UK) Slides |
12:20 - 12:40 |