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
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)
10:20 - 10:40

A pipeline for automatic semantic annotation of human connectomics revealed by diffusion tractography
Tristan Moreau and Bernard Gibaud
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)
11:10 - 11:40

Gender classification and manifold learning on functional brain networks
Sofia Ira Ktena, Salim Arslan, and Daniel Rueckert (Imperial College London)
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)
12:20 - 12:40