John Lewis

Montreal Neurological Institute,

McGill University

Didem Gokcay

Informatics Institute,

Middle East Technical University

Kaundinya Gopinath

Department of Radiology and Imaging Sciences,

Emory University

To register: http://www.miccai2016.org/en/REGISTRATION.html

Back to METU Health Informatics Neuroscience related graduate programs

Synopsis:

Analysis and interpretation of fMRI poses many challenges due to the complexities of the physiological bases underlying the fMRI signal, and the representation and dynamics of the brain processes reflected in the fMRI signal. This event consists of tutorials on state-of-the-art fMRI techniques complementing the main conference. Several emerging topics within the rapidly advancing fMR imaging methods will be covered. The following topics constitute the main focus: 1) advances in comparative and integrative analysis of multimodal data; 2) new approaches to quantify the brain connectome, and 3) applications of advanced fMRI analysis techniques to healthy and pathological functioning of the brain.

Online Materials for registered attendees:will be distributed on the day of the talks

LOCATION & SCHEDULE

Alpha/Beta Room, 14.00 (2 pm)

Session 1: BOLD Approaches to fMRI Analysis

 

Funda Yildirim

University of Groningen

 

Population receptive field modeling of orientation-contrasted retinotopy

 

Burcu A. Urgen

Department of Cognitive Science, UCSD
Department of Neuroscience, University of Parma

Representational similarity analysis to identify visual action codes for humans, androids and robots  

Session 2: Connectivity Matters

 

Francois Chouinard-Decorte

McConnell Brain Imaging Centre, Montreal Neurological Institute, McGill University

Genetic variance in resting-state functional connectivity

 

Sebastian Urchs

Montreal Neurological Institute

 

Subtypes of functional brain organization are associated with autism symptoms

 

Unal Sakoglu

University of Houston - Clear Lake

 

Dynamic Functional Connectivity Analysis for fMRI data: An application to Classification of Cocaine-Addicted Patients vs Healthy Controls

16.10-16.40: BREAK

Session 3: Multi-modality Brain Imaging

 

Andrew Reid 

Department of Cognitive Artificial Intelligence Donders Institute for Brain, Cognition and Behaviour Radboud University Nijmegen

A cross-modal, cross-species comparison of connectivity measures in the primate brain

 

Yasser Iturria Medina

Montreal Neurological Institute, McGill University

On the intra-brain Propagation of Pathologic Functional Signals in Neurodegeneration  

 

Umit Aydin

Multimodal Functional Imaging Laboratory, Department of Physics and Perform Centre, Concordia University

Multimodal integration of high-density EEG and fMRI during controlled tasks and spontaneous epileptic activity  

17.55: Wrap-up and planning for future collaborations

METU Informatics Institute, Universiteler Mahallesi, Dumlupinar Bulvari, No:1, 06800, Ankara, Turkey