- Bharat Biswal, New Jersey Institute of Technology, USA
- Vesa Kiviniemi, University of Oulu, Finland
- Christian Windischberger, Medical University of Vienna, Austria
- Gang Chen, National Institute of Health, USA
- Paul Taylor, National Institute of Health, USA
- Sheeba Arnold, A.A. Martinos Imaging Center, Massachusetts Institute of Technology, USA
- Ching-Po Lin, National Yang-Ming University, Taiwan
- Martin Walter, Otto v. Guericke University, Magdeburg, Germany
- Christophe Grova, Concordia University, Montreal, Canada
- Timothy Ellmore, City University of New York, USA
- Kevin Whittingstall, U Sherbrooke, QC, Canada
- Xi-Nian Zuo, Chinese Academy of Sciences, China
- Catie Chang, National Institute of Health, USA
- Adeel Razi, University College London, UK
- Bratislav Misic, McGill University, Montreal, Canada
- Vicas Singh, University Of Wisconsin, Madison, USA
This two-day course aims to provide the background to state of the art brain connectivity. The format has been successfully developed as an educational workshop in conjunction with the Fifth Biennial Conference on Resting State / Brain Connectivity and for the second time we now offer this intensive pre-conference workshop for those aiming to maximize their individual outcome of the main conference.
Course participants will learn about the basic and advanced strategies in data acquisition and data analysis for estimating brain connectivity. We will discuss the most important limitations as well as current issues under debate, such as treatment of physiological and other nuisance signals. We will focus on the pros and cons of different analysis strategies and provide examples for their applications in healthy populations and clinical samples. We will deepen your understanding of networks and information obtained using multimodal neuroimaging approaches including MRS, EEG, DTI, fNIRS, and ECoG.
The atmosphere of the educational workshop encourages participants to interact with leading experts to discuss general or specific problems they may have encountered in their own work.
The intended audience should be familiar with the basic concepts of functional MRI studies, including standard analysis strategies for task-based approaches. The course therefore is suitable for students, post-doctoral fellows and faculty members from various disciplines, including neuroscience, psychology, biology, math, computer science or physics. The course may also serve as preparation for in-depth discussions during the main conference.