Workshop Program

Day 1: Monday, September 19, 2016
8:30 Registration
9:00 Resting State Signals: Introduction, Methods, and Limitations
(Bharat Biswal, New Jersey Institute of Technology)
9:30 How to Design a Resting State Study: Imaging parameters, Cognitive and Physiological Consideration
(Vesa Kiviniemi, University of Oulu, Finland)
10:00 Mapping physiological effects in the brain using fast multiscale EPI in resting-state fMRI
(Klaudius Kalcher, Medical University of Vienna, Austria)
10:30 Coffee Break
11:00 How to Minimize Confounding Effects of Head Motion
(Koene Van Dijk, A.A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital)
11:30 Pre-processing Steps and Considerations
(Christian Windischberger, Medical University of Vienna, Austria)
12:00 Independent Component Analysis (ICA) of Resting State Data
(Ilya Veer, Charité Universitätsmedizin Berlin, Germany)
12:30 Lunch Break
13:30 Introduction to Naturalistic Scanning and Connectivity Analysis
(Gang Chen, National Institute of Health)
14:00 Single-Subject Analysis: CONN Toolbox
(Sheeba Arnold, A.A. Martinos Imaging Center, Massachusetts Institute of Technology)
14:30 Analysis: REST
(YuFeng Zang, Hangzhou Normal University, China)
15:00 Coffee Break
15:30 Analysis: AFNI
(Paul Taylor, National Institute of Health)
16:15 Single-Subject Analysis: AFNI/ICA
(Keerthana Karunakaran, New Jersey Institute of Technology)
17:00 Analysis: Group ICA
(Bharat Biswal, New Jersey Institute of Technology)
17:30 Q&A
(all speakers)
19:30 Social Event at the Bierheuriger Gangl
Day 2: Tuesday, September 20, 2016
9:00 Complex Network Analysis with Resting State fMRI
(Yong He, Beijing Normal University, China)
9:30 Retrieving the Hemodynamic Function from Resting State Signal
(Daniele Marinazzo, University of Ghent, Belgium)
10:00 Dynamic Connectivity and its Implementation
(Alfonso Nieto-Castanon, Massachusetts Institute of Technology)
10:30 Coffee Break
11:00 Dynamic Causal Modelling of Resting Brain
(Adeel Razi, University College London, UK)
11:30 EEG Analysis of Resting State Signals
(Vesa Kiviniemi, University of Oulu, Finland)
12:00 ECog Analysis of Resting State Signals
(Timothy Ellmore, City University of New York)
12:30 Lunch break
13:30 Harnessing individual differences in functional brain connectivity to predict behavior
(Emily Finn, Yale University)
14:00 Right results require right corrections for physiology and motion, where timing is critical
(Erik Beall, Cleveland Clinic)
14:30 Multimodal MRI/PET Resting State Studies in Animal Models
(Hans Wehrl, University of Tubingen)
15:00 Coffee Break
15:30 Metabolic Contribution of Resting State Connectivity
(Martin Walter, Otto v. Guericke University, Magdeburg, Germany)
16:00 Multimodal Integration: Combining DTI and fcMRI
(Ching-Po Lin, National Yang-Ming University, Taiwan)
16:30 Real-time fMRI based on connectivity estimates
(Frank Scharnowski, University of Zurich, Switzerland)
17:00 A Parkinson fMRI Study
(Silvina Horovitz, National Institute of Health)
17:30 End of Pre-Conference Workshop